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	<updated>2026-04-23T12:13:50Z</updated>
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		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Comprehensive_Pathogenic_Organisms_Reference&amp;diff=1255</id>
		<title>Comprehensive Pathogenic Organisms Reference</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Comprehensive_Pathogenic_Organisms_Reference&amp;diff=1255"/>
		<updated>2026-04-20T13:41:51Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Back to the [[FDA-ARGOS WIKI|Home Page]] for FDA-ARGOS&lt;br /&gt;
&lt;br /&gt;
This page provides a comprehensive reference table of human pathogenic organisms, including bacteria, viruses, and eukaryotic pathogens. The table integrates data from multiple curated sources and includes taxonomic identifiers and classification information for downstream analysis and database integration. The current dataset comprises 1,705 bacterial species, 1598 viral species, and 49 fungal and other eukaryotic organisms. You can browse and review the contents of this dataset on this wiki page. To download or work with the full file, it is available on [https://github.com/FDA-ARGOS/data.argosdb/blob/main/data_files/HumanPathogens_Comprehensive.xlsx GitHub].&lt;br /&gt;
&lt;br /&gt;
Pathogen names were collected and standardized using data from the following sources.&lt;br /&gt;
&lt;br /&gt;
# [https://data.argosdb.org/ FDA-ARGOS] (includes NCBI FDA-ARGOS BioProject 231221 + additional organisms analyzed as part of the [https://www.fda.gov/emergency-preparedness-and-response/preparedness-research/expanding-next-generation-sequencing-tools-support-pandemic-preparedness-and-response project)]&lt;br /&gt;
# [https://pubmed.ncbi.nlm.nih.gov/36748702/ PMID: 36748702] (Bartlett et. al. A comprehensive list of bacterial pathogens infecting humans)&lt;br /&gt;
# [https://pubmed.ncbi.nlm.nih.gov/39923424/ PMID: 39923424] (He et. al. Human viruses: An ever-increasing list)&lt;br /&gt;
# [https://www.uniprot.org/uniprotkb?query=%28taxonomy_id:10239%29 UniProt taxonomy records] (Curated UniProt Human as host data)&lt;br /&gt;
# [https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c National Institute of Allergy and Infectious Diseases biodefense pathogen lists]&lt;br /&gt;
# [https://www.who.int/publications/i/item/9789240060241 World Health Organization reports]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Please cite use of this pathogen list as:&#039;&#039;&#039; Wang, M., Woodside, C., Kramer, L., Mazumder R. Global Catalog of Human Pathogens: A Multi-Source Integrated Dataset for FDA-ARGOS. 2026. Retrieved from &amp;lt;nowiki&amp;gt;https://hivelab.biochemistry.gwu.edu/wiki/Comprehensive_Pathogenic_Organisms_Reference&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
 __TOC__&lt;br /&gt;
&lt;br /&gt;
== Bacterial Pathogens ==&lt;br /&gt;
&amp;lt;div style=&amp;quot;height: 500px; overflow-y: auto;&amp;quot;&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
! # !! Organism Name !! NCBI_taxid !! Source_PMID !! Source_ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1 || Abiotrophia defectiva || 46125 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 2 || Abiotrophia elegans || 137732 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 3 || Acetobacter cibinongensis || 146475 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 4 || Acetobacter indonesiensis || 104101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 5 || Acholeplasma oculi || 35623 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 6 || Achromobacter aegrifaciens || 1287736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 7 || Achromobacter animicus || 1389935 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 8 || Achromobacter anxifer || 1287737 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 9 || Achromobacter denitrificans || 32002 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 10 || Achromobacter dolens || 1287738 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 11 || Achromobacter insolitus || 217204 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 12 || Achromobacter insuavis || 1287735 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 13 || Achromobacter marplatensis || 470868 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 14 || Achromobacter mucicolens || 1389922 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 15 || Achromobacter piechaudii || 72556 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 16 || Achromobacter pulmonis || 1389932 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 17 || Achromobacter ruhlandii || 72557 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 18 || Achromobacter spanius || 217203 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 19 || Achromobacter spiritinus || 470868 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 20 || Achromobacter xylosoxidans || 85698 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 21 || Acidaminococcus fermentans || 905 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 22 || Acidomonas methanolica || 437 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 23 || Acidovorax oryzae || 862720 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 24 || Acinetobacter baumannii || 470 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 25 || Acinetobacter baylyi || 202950 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 26 || Acinetobacter beijerinckii || 262668 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 27 || Acinetobacter bereziniae || 106648 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 28 || Acinetobacter calcoaceticus || 471 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 29 || Acinetobacter guillouiae || 106649 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 30 || Acinetobacter gyllenbergii || 134534 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 31 || Acinetobacter haemolyticus || 29430 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 32 || Acinetobacter johnsonii || 40214 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 33 || Acinetobacter junii || 40215 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 34 || Acinetobacter lwoffii || 28090 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 35 || Acinetobacter nosocomialis || 106654 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 36 || Acinetobacter parvus || 134533 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 37 || Acinetobacter pittii || 48296 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 38 || Acinetobacter radioresistens || 40216 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 39 || Acinetobacter schindleri || 108981 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 40 || Acinetobacter seifertii || 1530123 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 41 || Acinetobacter septicus || 465797 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 42 || Acinetobacter ursingii || 108980 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 43 || Acinetobacter variabilis || 70346 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 44 || Actinobacillus equuli || 718 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 45 || Actinobacillus hominis || 719 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 46 || Actinobacillus lignieresii || 720 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 47 || Actinobacillus pleuropneumoniae || 715 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 48 || Actinobacillus suis || 716 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 49 || Actinobacillus ureae || 723 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 50 || Actinobaculum massiliae || 202789 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 51 || Actinobaculum massiliense || 202789 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 52 || Actinobaculum schaalii || 59505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 53 || Actinobaculum urinale || 190146 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 54 || Actinomadura chibensis || 392828 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 55 || Actinomadura madurae || 1993 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 56 || Actinomadura mexicana || 134959 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 57 || Actinomadura meyerae || 240840 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 58 || Actinomadura pelletieri || 111805 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 59 || Actinomadura sputi || 589159 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 60 || Actinomyces bovis || 1658 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 61 || Actinomyces cardiffensis || 181487 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 62 || Actinomyces dentalis || 272548 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 63 || Actinomyces europaeus || 66228 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 64 || Actinomyces funkei || 132933 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 65 || Actinomyces georgiae || 52768 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 66 || Actinomyces gerencseriae || 52769 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 67 || Actinomyces graevenitzii || 55565 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 68 || Actinomyces hominis || 595468 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 69 || Actinomyces hongkongensis || 178339 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 70 || Actinomyces israelii || 1659 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 71 || Actinomyces johnsonii || 544581 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 72 || Actinomyces massiliensis || 461393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 73 || Schaalia meyeri(Actinomyces meyeri) || 52773 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 74 || Actinomyces naeslundii || 1655 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 75 || Winkia neuii(Actinomyces neuii) || 33007 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 76 || Actinomyces odontolyticus || 1660 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 77 || Actinomyces oricola || 206043 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 78 || Actinomyces oris || 544580 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 79 || Actinomyces radicidentis || 111015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 80 || Schaalia radingae(Actinomyces radingae) || 131110 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 81 || Actinomyces timonensis || 1288391 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 82 || Schaalia turicensis(Actinomyces turicensis) || 131111 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 83 || Actinomyces urinae || 1689268 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 84 || Actinomyces urogenitalis || 103621 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 85 || Actinomyces viscosus || 1656 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 86 || Actinotignum sanguinis || 1445614 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 87 || Actinotignum schaalii || 59505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 88 || Actinotignum urinale || 190146 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 89 || Advenella incenata || 267800 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 90 || Aerococcus christensenii || 87541 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 91 || Aerococcus sanguicola || 119206 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 92 || Aerococcus urinae || 1376 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 93 || Aerococcus viridans || 1377 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 94 || Aeromonas aquariorum || 196024 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 95 || Aeromonas caviae || 648 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 96 || Aeromonas dhakensis || 196024 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 97 || Aeromonas hydrophila || 644 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 98 || Aeromonas jandaei || 650 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 99 || Aeromonas salmonicida || 645 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 100 || Aeromonas sanarellii || 633415 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 101 || Aeromonas schubertii || 652 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 102 || Aeromonas sobria || 646 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 103 || Aeromonas taiwanensis || 633417 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 104 || Aeromonas tecta || 324617 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 105 || Aeromonas veronii || 654 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 106 || Afipia broomeae || 56946 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 107 || Afipia clevelandensis || 1034 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 108 || Afipia felis || 1035 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 109 || Aggregatibacter actinomycetemcomitans || 714 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 110 || Aggregatibacter aphrophilus || 732 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 111 || Aggregatibacter segnis || 739 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 112 || Agrobacterium tumefaciens || 358 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 113 || Alcaligenes denitrificans || 32002 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 114 || Alcaligenes faecalis || 511 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 115 || Alcaligenes odorans || 32001 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 116 || Alcaligenes piechaudii || 72556 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 117 || Alistipes finegoldii || 214856 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 118 || Alistipes indistinctus || 626932 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 119 || Alistipes onderdonkii || 328813 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 120 || Alistipes shahii || 328814 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 121 || Alkanindiges hongkongensis || 208968 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 122 || Alloiococcus otitis || 1652 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 123 || Alloprevotella rava || 671218 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 124 || Alloprevotella tannerae || 76122 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 125 || Alloscardovia omnicolens || 419015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 126 || Amycolatopsis benzoatilytica || 346045 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 127 || Amycolatopsis orientalis || 31958 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 128 || Amycolatopsis palatopharyngis || 187982 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 129 || Anaerobiospirillum succiniciproducens || 13335 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 130 || Anaerobiospirillum thomasii || 179995 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 131 || Anaerococcus degenerii || 361500 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 132 || Anaerococcus lactolyticus || 33032 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 133 || Anaerococcus murdochii || 411577 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 134 || Anaerococcus nagyae || 1755241 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 135 || Anaerococcus octavius || 54007 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 136 || Anaerococcus prevotii || 33034 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 137 || Anaerococcus vaginalis || 33037 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 138 || Anaeroglobus geminatus || 156456 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 139 || Anaerostipes caccae || 105841 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 140 || Anaplasma phagocytophilum || 948 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 141 || Anaplasma platys || 949 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 142 || Aquimonas voraii || 265719 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 143 || Arcanobacterium bernardiae || 59561 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 144 || Arcanobacterium haemolyticum || 28264 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 145 || Arcanobacterium pyogenes || 1661 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 146 || Arcobacter butzleri || 28197 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 147 || Arcobacter cryaerophilus || 28198 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 148 || Arcobacter skirrowii || 28200 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 149 || Arthrobacter albus || 98671 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 150 || Arthrobacter luteolus || 98672 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 151 || Arthrobacter scleromae || 158897 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 152 || Arthrobacter woluwensis || 156980 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 153 || Asaia bogorensis || 91915 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 154 || Asaia lannensis || 415421 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 155 || Atlantibacter hermannii || 565 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 156 || Atopobium deltae || 1393034 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 157 || Atopobium minutum || 1381 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 158 || Atopobium rimae || 1383 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 159 || Atopobium vaginae || 82135 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 160 || Aureimonas altamirensis || 370622 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 161 || Auritidibacter ignavus || 678932 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 162 || Bacillus anthracis || 1392 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 163 || Bacillus cereus || 1396 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 164 || Bacillus circulans || 1397 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 165 || Bacillus coagulans || 1398 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 166 || Bacillus cytotoxicus || 580165 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 167 || Bacillus idriensis || 324768 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 168 || Bacillus infantis || 324767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 169 || Bacillus licheniformis || 1402 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 170 || Bacillus massiliensis || 292806 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 171 || Bacillus mycoides || 1405 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 172 || Bacillus pumilus || 1408 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 173 || Bacillus sphaericus || 1421 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 174 || Bacillus subtilis || 1423 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 175 || Bacillus thuringiensis || 1428 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 176 || Bacteroides caccae || 47678 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 177 || Bacteroides coagulans || 46507 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 178 || Bacteroides denticanum || 266833 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 179 || Bacteroides distasonis || 823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 180 || Bacteroides eggerthii || 28111 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 181 || Bacteroides faecis || 674529 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 182 || Bacteroides fluxus || 626930 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 183 || Bacteroides forsythus || 28112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 184 || Bacteroides fragilis || 817 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 185 || Bacteroides galacturonicus || 384639 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 186 || Bacteroides gracilis || 824 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 187 || Bacteroides heparinolyticus || 28113 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 188 || Bacteroides massiliensis || 204516 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 189 || Bacteroides merdae || 46503 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 190 || Bacteroides nordii || 291645 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 191 || Bacteroides ovatus || 28116 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 192 || Bacteroides pectinophilus || 384638 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 193 || Bacteroides pyogenes || 310300 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 194 || Bacteroides salyersiae || 291644 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 195 || Bacteroides splanchnicus || 28118 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 196 || Bacteroides stercoris || 46506 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 197 || Bacteroides thetaiotaomicron || 818 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 198 || Bacteroides uniformis || 820 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 199 || Bacteroides ureolyticus || 827 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 200 || Phocaeicola vulgatus(Bacteroides vulgatus) || 821 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 201 || Bacteroides zoogleoformans || 28119 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 202 || Balneatrix alpica || 75684 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 203 || Bartonella alsatica || 52764 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 204 || Bartonella ancashensis || 1318743 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 205 || Bartonella bacilliformis || 774 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 206 || Bartonella elizabethae || 807 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 207 || Bartonella grahamii || 33045 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 208 || Bartonella henselae || 38323 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 209 || Bartonella koehlerae || 92181 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 210 || Bartonella mayotimonensis || 572280 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 211 || Bartonella melophagi || 291176 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 212 || Bartonella quintana || 803 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 213 || Bartonella tamiae || 373638 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 214 || Bartonella vinsonii || 33047 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 215 || Candidatus Bartonella washoeensis&amp;lt;br&amp;gt;(Bartonella washoensis) || 186739 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 216 || Bergeyella cardium || 1585976 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 217 || Bergeyella zoohelcum || 1015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 218 || Bifidobacterium denticolens || 78258 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 219 || Bifidobacterium dentium || 1689 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 220 || Bifidobacterium inopinatum || 78259 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 221 || Bifidobacterium scardovii || 158787 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 222 || Bilophila wadsworthia || 35833 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 223 || Bisgaardia hudsonensis || 109472 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 224 || Bordetella ansorpii || 288768 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 225 || Bordetella avium || 521 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 226 || Bordetella bronchialis || 463025 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 227 || Bordetella bronchiseptica || 518 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 228 || Bordetella flabilis || 463014 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 229 || Bordetella hinzii || 103855 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 230 || Bordetella holmesii || 35814 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 231 || Bordetella parapertussis || 519 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 232 || Bordetella pertussis || 520 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 233 || Bordetella petrii || 94624 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 234 || Bordetella sputigena || 1416810 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 235 || Bordetella trematum || 123899 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 236 || Borrelia americana || 478807 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 237 || Borrelia brasiliensis || 1653832 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 238 || Borrelia burgdorferi || 139 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 239 || Borrelia caucasica || 1653833 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 240 || Borrelia crocidurae || 29520 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 241 || Borrelia duttonii || 40834 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 242 || Borrelia hermsii || 140 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 243 || Borrelia hispanica || 40835 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 244 || Borrelia latyschewii || 1027767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 245 || Borrelia lonestari || 38876 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 246 || Borrelia mayonii || 1674146 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 247 || Borrelia mazzottii || 1653837 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 248 || Borrelia miyamotoi || 47466 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 249 || Borrelia parkeri || 141 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 250 || Borrelia persica || 44448 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 251 || Borrelia recurrentis || 44449 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 252 || Borrelia spielmanii || 88916 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 253 || Borrelia turicatae || 142 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 254 || Borrelia venezuelensis || 1653839 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 255 || Brachybacterium paraconglomeratum || 173362 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 256 || Brachyspira aalborgi || 29522 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 257 || Brachyspira pilosicoli || 52584 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 258 || Branchiibius cervicis || 908252 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 259 || Brevibacillus agri || 51101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 260 || Brevibacillus brevis || 1393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 261 || Brevibacillus centrosporus || 54910 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 262 || Brevibacterium casei || 33889 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 263 || Brevibacterium iodinum || 31943 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 264 || Brevibacterium luteolum || 199591 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 265 || Brevibacterium lutescens || 199591 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 266 || Brevibacterium massiliense || 479117 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 267 || Brevibacterium otitidis || 53364 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 268 || Brevibacterium paucivorans || 170994 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 269 || Brevibacterium sanguinis || 232444 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 270 || Brevundimonas diminuta || 293 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 271 || Brevundimonas vancanneytii || 1325724 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 272 || Brevundimonas vesicularis || 41276 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 273 || Brucella abortus || 235 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 274 || Brucella canis || 36855 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 275 || Brucella inopinata || 1218315 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 276 || Brucella melitensis || 29459 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 277 || Brucella neotomae || 29460 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 278 || Budvicia aquatica || 82979 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 279 || Bulleidia extructa || 118748 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 280 || Burkholderia ambifaria || 152480 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 281 || Burkholderia anthina || 179879 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 282 || Burkholderia arboris || 488730 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 283 || Burkholderia cenocepacia || 95486 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 284 || Burkholderia cepacia || 292 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 285 || Burkholderia contaminans || 488447 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 286 || Burkholderia diffusa || 488732 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 287 || Burkholderia dolosa || 152500 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 288 || Burkholderia fungorum || 134537 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 289 || Burkholderia gladioli || 28095 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 290 || Burkholderia glumae || 337 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 291 || Burkholderia lata || 482957 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 292 || Burkholderia latens || 488446 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 293 || Burkholderia mallei || 13373 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 294 || Burkholderia metallica || 488729 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 295 || Burkholderia multivorans || 87883 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 296 || Burkholderia oklahomensis || 342113 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 297 || Burkholderia pseudomallei || 28450 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 298 || Burkholderia pyrrocinia || 60550 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 299 || Burkholderia seminalis || 488731 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 300 || Burkholderia stabilis || 95485 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 301 || Burkholderia stagnalis || 1503054 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 302 || Burkholderia thailandensis || 57975 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 303 || Burkholderia ubonensis || 101571 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 304 || Burkholderia vietnamiensis || 60552 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 305 || Buttiauxella gaviniae || 82990 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 306 || Butyricimonas faecihominis || 1472416 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 307 || Butyricimonas virosa || 544645 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 308 || Campylobacter armoricus || 2505970 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 309 || Campylobacter butzleri || 28197 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 310 || Campylobacter coli || 195 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 311 || Campylobacter concisus || 199 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 312 || Campylobacter curvus || 200 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 313 || Campylobacter fetus || 196 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 314 || Campylobacter gracilis || 824 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 315 || Campylobacter hominis || 76517 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 316 || Campylobacter hyointestinalis || 198 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 317 || Candidatus Campylobacter infans(Campylobacter infans) || 2561898 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 318 || Campylobacter insulaenigrae || 260714 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 319 || Campylobacter jejuni || 197 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 320 || Campylobacter lanienae || 75658 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 321 || Campylobacter lari || 201 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 322 || Campylobacter mucosalis || 202 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 323 || Campylobacter rectus || 203 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 324 || Campylobacter showae || 204 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 325 || Campylobacter sputorum || 206 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 326 || Campylobacter upsaliensis || 28080 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 327 || Campylobacter ureolyticus || 827 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 328 || Campylobacter volucris || 1031542 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 329 || Canibacter oris || 1365628 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 330 || Capnocytophaga canimorsus || 28188 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 331 || Capnocytophaga cynodegmi || 28189 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 332 || Capnocytophaga gingivalis || 1017 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 333 || Capnocytophaga granulosa || 45242 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 334 || Capnocytophaga haemolytica || 45243 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 335 || Capnocytophaga leadbetteri || 327575 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 336 || Capnocytophaga ochracea || 1018 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 337 || Capnocytophaga sputigena || 1019 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 338 || Cardiobacterium hominis || 2718 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 339 || Cardiobacterium valvarum || 194702 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 340 || Catabacter hongkongensis || 270498 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 341 || Catonella morbi || 43997 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 342 || Cedecea davisae || 158484 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 343 || Cedecea lapagei || 158823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 344 || Cedecea neteri || 158822 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 345 || Cellulomonas cellulans || 1710 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 346 || Cellulomonas denverensis || 264297 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 347 || Cellulomonas hominis || 156981 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 348 || Cellulomonas turbata || 1713 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 349 || Cellulosimicrobium cellulans || 1710 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 350 || Cellulosimicrobium funkei || 264251 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 351 || Centipeda periodontii || 82203 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 352 || Chitinophaga terrae || 408074 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 353 || Chitinophaga vietnamensis || 2593957 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 354 || Chlamydia abortus || 83555 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 355 || Chlamydia caviae || 83557 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 356 || Chlamydia felis || 83556 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 357 || Chlamydia psittaci || 83554 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 358 || Chlamydia trachomatis || 813 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 359 || Chlamydophila pneumoniae || 83558 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 360 || Chlamydophila psittaci || 83554 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 361 || Chromobacterium haemolyticum || 394935 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 362 || Chromobacterium violaceum || 536 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 363 || Chryseobacterium anthropi || 520603 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 364 || Chryseobacterium balustinum || 246 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 365 || Chryseobacterium bernardetii || 1241978 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 366 || Chryseobacterium gleum || 250 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 367 || Chryseobacterium hominis || 420404 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 368 || Chryseobacterium indologenes || 253 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 369 || Chryseobacterium meningosepticum || 238 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 370 || Chryseobacterium mucoviscidosis || 1945581 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 371 || Chryseobacterium nakagawai || 1241982 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 372 || Chryseobacterium oranimense || 421058 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 373 || Chryseobacterium treverense || 631455 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 374 || Citrobacter amalonaticus || 35703 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 375 || Citrobacter braakii || 57706 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 376 || Citrobacter farmeri || 67824 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 377 || Citrobacter freundii || 546 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 378 || Citrobacter koseri || 545 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 379 || Citrobacter pasteurii || 1563222 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 380 || Citrobacter rodentium || 67825 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 381 || Citrobacter sedlakii || 67826 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 382 || Citrobacter werkmanii || 67827 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 383 || Citrobacter youngae || 133448 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 384 || Clostridioides difficile || 1496 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 385 || Clostridium aldenense || 358742 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 386 || Clostridium amygdalinum || 253257 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 387 || Clostridium baratii || 1561 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 388 || Clostridium bifermentans || 1490 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 389 || Clostridium bolteae || 208479 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 390 || Clostridium botulinum || 1491 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 391 || Clostridium butyricum || 1492 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 392 || Clostridium cadaveris || 1529 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 393 || Clostridium carnis || 1530 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 394 || Clostridium celatum || 36834 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 395 || Clostridium chauvoei || 46867 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 396 || Clostridium citroniae || 358743 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 397 || Clostridium combesii || 39481 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 398 || Clostridium fallax || 1533 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 399 || Clostridium hydrogeniformans || 349933 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 400 || Clostridium indolis || 69825 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 401 || Clostridium innocuum || 1522 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 402 || Clostridium intestinale || 36845 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 403 || Clostridium lavalense || 460384 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 404 || Clostridium neonatale || 137838 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 405 || Clostridium novyi || 1542 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 406 || Clostridium perfringens || 1502 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 407 || Thomasclavelia ramosa(Clostridium ramosum) || 1547 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 408 || Clostridium septicum || 1504 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 409 || Paraclostridium sordellii(Clostridium sordellii) || 1505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 410 || Clostridium sphenoides || 29370 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 411 || Clostridium sporogenes || 1509 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 412 || Clostridium tertium || 1559 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 413 || Clostridium tetani || 1513 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 414 || Clostridium ventriculi || 1267 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 415 || Collinsella aerofaciens || 74426 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 416 || Collinsella vaginalis || 1870987 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 417 || Comamonas kerstersii || 225992 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 418 || Comamonas testosteroni || 285 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 419 || Coprobacillus catenaformis || 100884 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 420 || Corynebacterium accolens || 38284 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 421 || Corynebacterium afermentans || 38286 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 422 || Corynebacterium amycolatum || 43765 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 423 || Corynebacterium appendicis || 163202 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 424 || Corynebacterium aquatimens || 1190508 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 425 || Corynebacterium argentoratense || 42817 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 426 || Corynebacterium aurimucosum || 169292 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 427 || Corynebacterium auris || 44750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 428 || Corynebacterium auriscanis || 99807 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 429 || Corynebacterium belfantii || 2014537 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 430 || Corynebacterium bovis || 36808 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 431 || Corynebacterium canis || 679663 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 432 || Corynebacterium confusum || 71254 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 433 || Corynebacterium coyleae || 53374 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 434 || Corynebacterium dentalis || 2014528 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 435 || Corynebacterium diphtheriae || 1717 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 436 || Corynebacterium durum || 61592 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 437 || Corynebacterium falsenii || 108486 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 438 || Corynebacterium fournieri || 1852390 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 439 || Corynebacterium freiburgense || 556548 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 440 || Corynebacterium freneyi || 134034 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 441 || Corynebacterium glucuronolyticum || 39791 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 442 || Corynebacterium gottingense || 2041036 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 443 || Corynebacterium hansenii || 394964 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 444 || Corynebacterium imitans || 156978 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 445 || Corynebacterium jeikeium || 38289 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 446 || Corynebacterium kroppenstedtii || 161879 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 447 || Corynebacterium kutscheri || 35755 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 448 || Corynebacterium lipophiloflavum || 161889 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 449 || Corynebacterium lowii || 1544413 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 450 || Corynebacterium macginleyi || 38290 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 451 || Corynebacterium massiliense || 441501 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 452 || Corynebacterium minutissimum || 38301 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 453 || Corynebacterium mucifaciens || 57171 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 454 || Corynebacterium nigricans || 169292 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 455 || Corynebacterium oculi || 1544416 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 456 || Corynebacterium pilbarense || 1288393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 457 || Corynebacterium propinquum || 43769 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 458 || Corynebacterium pseudodiphthericum || 37637 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 459 || Corynebacterium pseudotuberculosis || 1719 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 460 || Corynebacterium pyruviciproducens || 598660 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 461 || Corynebacterium resistens || 258224 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 462 || Corynebacterium riegelii || 156976 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 463 || Corynebacterium rouxii || 2719119 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 464 || Corynebacterium seminale || 39791 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 465 || Corynebacterium simulans || 146827 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 466 || Corynebacterium sputi || 489915 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 467 || Corynebacterium striatum || 43770 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 468 || Corynebacterium sundsvallense || 161902 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 469 || Corynebacterium timonense || 441500 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 470 || Corynebacterium tuberculostearicum || 38304 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 471 || Corynebacterium tuscaniae || 302449 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 472 || Corynebacterium ulcerans || 65058 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 473 || Corynebacterium urealyticum || 43771 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 474 || Corynebacterium ureicelerivorans || 401472 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 475 || Corynebacterium xerosis || 1725 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 476 || Coxiella burnetii || 777 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 477 || Cronobacter malonaticus || 413503 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 478 || Cronobacter sakazakii || 28141 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 479 || Cronobacter turicensis || 413502 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 480 || Cruoricaptor ignavus || 1118202 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 481 || Cryptobacterium curtum || 84163 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 482 || Cupriavidus gilardii || 82541 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 483 || Cupriavidus metallidurans || 119219 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 484 || Cupriavidus pauculus || 82633 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 485 || Curtobacterium flaccumfaciens || 2035 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 486 || Cutibacterium acnes || 1747 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 487 || Cutibacterium avidum || 33010 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 488 || Cutibacterium modestum || 2559073 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 489 || Delftia acidovorans || 80866 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 490 || Delftia lacustris || 558537 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 491 || Delftia tsuruhatensis || 180282 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 492 || Dermabacter hominis || 36740 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 493 || Dermabacter jinjuensis || 1667168 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 494 || Dermacoccus barathri || 322601 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 495 || Dermatophilus congolensis || 1863 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 496 || Desmospora activa || 500615 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 497 || Desulfomicrobium orale || 132132 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 498 || Desulfovibrio desulfuricans || 876 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 499 || Desulfovibrio legallii || 571438 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 500 || Desulfovibrio vulgaris || 881 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 501 || Dialister invisus || 218538 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 502 || Dialister micraerophilus || 309120 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 503 || Dialister pneumosintes || 39950 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 504 || Dialister propionicifaciens || 308994 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 505 || Dichelobacter nodosus || 870 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 506 || Dietzia aurantiaca || 983873 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 507 || Dietzia cinnamea || 321318 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 508 || Dietzia maris || 37915 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 509 || Dietzia papillomatosis || 282305 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 510 || Diplorickettsia massiliensis || 676517 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 511 || Dokdonella koreensis || 323415 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 512 || Dolosigranulum pigrum || 29394 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 513 || Dyella japonica || 231455 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 514 || Dysgonomonas capnocytophagoides || 45254 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 515 || Dysgonomonas gadei || 156974 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 516 || Dysgonomonas hofstadii || 637886 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 517 || Dysgonomonas mossii || 163665 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 518 || Edwardsiella hoshinae || 93378 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 519 || Edwardsiella tarda || 636 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 520 || Effusibacillus consociatus || 1117041 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 521 || Eggerthella lenta || 84112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 522 || Eggerthella sinensis || 242230 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 523 || Eggerthia catenaformis || 31973 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 524 || Ehrlichia canis || 944 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 525 || Ehrlichia chaffeensis || 945 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 526 || Ehrlichia equi || 948 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 527 || Ehrlichia ewingii || 947 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 528 || Anaplasma phagocytophilum&amp;lt;br&amp;gt;(Ehrlichia phagocytophila) || 948 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 529 || Ehrlichia sennetsu || 951 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 530 || Eikenella corrodens || 539 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 531 || Eikenella exigua || 2528037 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 532 || Eikenella halliae || 1795832 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 533 || Eikenella longinqua || 1795827 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 534 || Eisenbergiella tayi || 1432052 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 535 || Elizabethkingia anophelis || 1117645 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 536 || Elizabethkingia bruuniana || 1756149 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 537 || Elizabethkingia meningoseptica || 238 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 538 || Elizabethkingia miricola || 172045 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 539 || Empedobacter brevis || 247 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 540 || Empedobacter falsenii || 343874 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 541 || Enterobacter aerogenes || 548 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 542 || Enterobacter asburiae || 61645 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 543 || Enterobacter bugandensis || 881260 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 544 || Enterobacter cancerogenus || 69218 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 545 || Enterobacter cloacae || 550 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 546 || Enterobacter hormaechei || 158836 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 547 || Enterobacter huaxiensis || 2494702 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 548 || Enterobacter kobei || 208224 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 549 || Enterobacter ludwigii || 299767 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 550 || Enterobacter quasihormaechei || 2529382 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 551 || Enterobacter sakazakii || 28141 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 552 || Enterobacter wuhouensis || 2529381 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 553 || Enterococcus avium || 33945 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 554 || Enterococcus casseliflavus || 37734 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 555 || Enterococcus cecorum || 44008 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 556 || Enterococcus durans || 53345 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 557 || Enterococcus faecalis || 1351 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 558 || Enterococcus faecium || 1352 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 559 || Enterococcus flavescens || 37734 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 560 || Enterococcus gallinarum || 1353 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 561 || Enterococcus gilvus || 160453 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 562 || Enterococcus hirae || 1354 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 563 || Enterococcus mundtii || 53346 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 564 || Enterococcus pallens || 160454 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 565 || Enterococcus raffinosus || 71452 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 566 || Erwinia persicinus || 55211 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 567 || Erysipelatoclostridium ramosum || 1547 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 568 || Erysipelothrix rhusiopathiae || 1648 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 569 || Escherichia albertii || 208962 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 570 || Escherichia coli || 562 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 571 || Escherichia fergusonii || 564 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 572 || Pseudescherichia vulneris(Escherichia vulneris) || 566 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 573 || Eubacterium brachy || 35517 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 574 || Eubacterium callanderi || 53442 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 575 || Faecalitalea cylindroides(Eubacterium cylindroides) || 39483 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 576 || Eubacterium exiguum || 84109 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 577 || Eubacterium limosum || 1736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 578 || Eubacterium minutum || 76124 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 579 || Clostridium moniliforme(Eubacterium moniliforme) || 39489 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 580 || Eubacterium multiforme || 83339 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 581 || Eubacterium nodatum || 35518 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 582 || Agathobacter rectalis(Eubacterium rectale) || 39491 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 583 || Eubacterium saphenum || 51123 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 584 || Eubacterium sulci || 143393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 585 || Paraclostridium tenue(Eubacterium tenue) || 1737 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 586 || Eubacterium timidum || 35519 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 587 || Eubacterium yurii || 39498 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 588 || Ewingella americana || 41202 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 589 || Exiguobacterium acetylicum || 41170 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 590 || Exiguobacterium aurantiacum || 33987 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 591 || Facklamia hominis || 178214 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 592 || Facklamia ignava || 137730 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 593 || Facklamia languida || 82347 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 594 || Facklamia sourekii || 87650 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 595 || Faecalicatena contorta || 39482 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 596 || Fastidiosipila sanguinis || 236753 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 597 || Fenollaria massiliensis || 938288 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 598 || Fibrobacter intestinalis || 28122 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 599 || Filifactor alocis || 143361 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 600 || Finegoldia magna || 1260 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 601 || Paenimyroides ceti(Flavobacterium ceti) || 395087 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 602 || Fluoribacter bozemanae || 447 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 603 || Fluoribacter dumoffii || 463 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 604 || Fluoribacter gormanii || 464 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 605 || Francisella hispaniensis || 622488 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 606 || Francisella opportunistica || 2016517 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 607 || Francisella philomiragia || 28110 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 608 || Francisella tularensis || 263 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 609 || Frederiksenia canicola || 123824 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 610 || Fretibacterium fastidiosum || 651822 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 611 || Fusobacterium gonidiaformans || 849 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 612 || Fusobacterium mortiferum || 850 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 613 || Fusobacterium naviforme || 77917 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 614 || Fusobacterium necrophorum || 859 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 615 || Fusobacterium nucleatum || 851 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 616 || Fusobacterium periodonticum || 860 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 617 || Fusobacterium russii || 854 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 618 || Fusobacterium ulcerans || 861 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 619 || Fusobacterium varium || 856 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 620 || Gallibacterium anatis || 750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 621 || Gardnerella vaginalis || 2702 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 622 || Gemella asaccharolytica || 502393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 623 || Gemella bergeriae || 84136 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 624 || Gemella haemolysans || 1379 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 625 || Gemella morbillorum || 29391 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 626 || Gemella parahaemolysans || 1179782 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 627 || Gemella sanguinis || 84135 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 628 || Gemella taiwanensis || 1179787 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 629 || Globicatella sanguinis || 13076 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 630 || Gordonia amarae || 36821 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 631 || Gordonia araii || 263909 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 632 || Gordonia bronchialis || 2054 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 633 || Gordonia effusa || 263908 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 634 || Gordonia hongkongensis || 1701090 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 635 || Gordonia iterans || 1004901 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 636 || Gordonia otitidis || 249058 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 637 || Gordonia polyisoprenivorans || 84595 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 638 || Gordonia rubripertincta || 36822 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 639 || Gordonia sputi || 36823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 640 || Gordonia terrae || 2055 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 641 || Gordonibacter pamelaeae || 471189 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 642 || Granulibacter bethesdensis || 364410 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 643 || Granulicatella adiacens || 46124 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 644 || Granulicatella elegans || 137732 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 645 || Haematobacter massiliensis || 195105 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 646 || Haematobacter missouriensis || 366616 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 647 || Haematomicrobium sanguinis || 479106 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 648 || Haematospirillum jordaniae || 1549855 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 649 || Haemophilus actinomycetemcomitans || 714 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 650 || Haemophilus aegyptius || 197575 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 651 || Haemophilus aphrophilus || 732 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 652 || Haemophilus ducreyi || 730 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 653 || Haemophilus haemolyticus || 726 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 654 || Haemophilus influenzae || 727 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 655 || Haemophilus massiliensis || 1461579 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 656 || Haemophilus parahaemolyticus || 735 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 657 || Haemophilus parainfluenzae || 729 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 658 || Haemophilus paraphrohaemolyticus || 736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 659 || Haemophilus pittmaniae || 249188 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 660 || Haemophilus sputorum || 1078480 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 661 || Hafnia alvei || 569 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 662 || Hafnia paralvei || 546367 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 663 || Halomonas hamiltonii || 502829 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 664 || Halomonas stevensii || 502821 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 665 || Halomonas venusta || 44935 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 666 || Hathewaya histolytica || 1498 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 667 || Hazenella coriacea || 1179467 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 668 || Helcobacillus massiliensis || 521392 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 669 || Helcococcus kunzii || 40091 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 670 || Helcococcus sueciensis || 241555 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 671 || Helicobacter bilis || 37372 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 672 || Helicobacter canadensis || 123841 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 673 || Helicobacter canis || 29419 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 674 || Helicobacter cinaedi || 213 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 675 || Helicobacter fennelliae || 215 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 676 || Helicobacter heilmannii || 35817 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 677 || Helicobacter hepaticus || 32025 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 678 || Helicobacter pullorum || 35818 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 679 || Helicobacter pylori || 210 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 680 || Helicobacter suis || 104628 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 681 || Helicobacter winghamensis || 157268 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 682 || Herbaspirillum huttiense || 863372 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 683 || Herbaspirillum seropedicae || 964 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 684 || Hungatella effluvii || 1096246 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 685 || Hungatella hathewayi || 154046 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 686 || Ignatzschineria indica || 472583 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 687 || Ignatzschineria larvae || 112009 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 688 || Ignavigranum ruoffiae || 89093 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 689 || Inquilinus limosus || 171674 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 690 || Janibacter melonis || 262209 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 691 || Jonquetella anthropi || 428712 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 692 || Kerstersia gyiorum || 206506 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 693 || Kerstersia similis || 206505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 694 || Kingella denitrificans || 502 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 695 || Kingella kingae || 504 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 696 || Kingella oralis || 505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 697 || Kingella potus || 265175 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 698 || Klebsiella aerogenes || 548 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 699 || Klebsiella granulomatis || 39824 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 700 || Klebsiella grimontii || 2058152 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 701 || Klebsiella ornithinolytica || 54291 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 702 || Klebsiella oxytoca || 571 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 703 || Klebsiella pasteurii || 2587529 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 704 || Klebsiella pneumoniae || 573 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 705 || Klebsiella quasipneumoniae || 1463165 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 706 || Klebsiella variicola || 244366 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 707 || Kluyvera ascorbata || 51288 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 708 || Kluyvera cryocrescens || 580 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 709 || Kocuria kristinae || 37923 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 710 || Kocuria marina || 223184 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 711 || Kocuria rhizophila || 72000 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 712 || Kocuria rosea || 1275 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 713 || Kocuria salsicia || 664639 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 714 || Kocuria varians || 1272 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 715 || Kosakonia cowanii || 208223 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 716 || Kosakonia quasisacchari || 2529380 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 717 || Kytococcus schroeteri || 138300 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 718 || Kytococcus sedentarius || 1276 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 719 || Lachnoanaerobaculum saburreum || 467210 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 720 || Lachnoanaerobaculum umeaense || 617123 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 721 || Lactobacillus acidophilus || 1579 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 722 || Lactobacillus delbrueckii || 1584 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 723 || Lactobacillus gasseri || 1596 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 724 || Lactobacillus jensenii || 109790 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 725 || Lactobacillus plantarum || 1590 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 726 || Lactobacillus rhamnosus || 47715 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 727 || Lactococcus garvieae || 1363 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 728 || Laribacter hongkongensis || 168471 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 729 || Lawsonella clevelandensis || 1528099 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 730 || Leclercia adecarboxylata || 83655 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 731 || Legionella anisa || 28082 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 732 || Legionella birminghamensis || 28083 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 733 || Legionella bozemanii || 447 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 734 || Legionella cardiaca || 1071983 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 735 || Legionella cherrii || 28084 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 736 || Legionella cincinnatiensis || 28085 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 737 || Legionella feeleii || 453 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 738 || Legionella gormanii || 464 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 739 || Legionella hackeliae || 449 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 740 || Legionella indianapolisensis || 1774113 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 741 || Legionella jordanis || 456 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 742 || Legionella lansingensis || 45067 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 743 || Legionella londiniensis || 45068 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 744 || Legionella longbeachae || 450 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 745 || Legionella maceachernii || 466 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 746 || Legionella nagasakiensis || 535290 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 747 || Legionella oakridgensis || 29423 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 748 || Legionella parisiensis || 45071 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 749 || Legionella pneumophila || 446 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 750 || Legionella rubrilucens || 458 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 751 || Legionella sainthelensi || 28087 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 752 || Legionella steelei || 947033 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 753 || Legionella tucsonensis || 40335 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 754 || Legionella wadsworthii || 28088 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 755 || Legionella waltersii || 66969 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 756 || Leifsonia aquatica || 144185 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 757 || Lelliottia amnigena || 61646 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 758 || Leminorella grimontii || 82981 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 759 || Leptospira borgpetersenii || 174 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 760 || Leptospira broomii || 301541 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 761 || Leptospira fainei || 48782 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 762 || Leptospira inadai || 29506 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 763 || Leptospira interrogans || 173 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 764 || Leptospira kirschneri || 29507 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 765 || Leptospira licerasiae || 447106 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 766 || Leptospira mayottensis || 1137606 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 767 || Leptospira meyeri || 29508 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 768 || Leptospira noguchii || 28182 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 769 || Leptospira santarosai || 28183 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 770 || Leptospira venezuelensis || 1958811 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 771 || Leptospira weilii || 28184 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 772 || Leptospira wolffii || 409998 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 773 || Leptotrichia amnionii || 187101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 774 || Leptotrichia buccalis || 40542 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 775 || Leptotrichia goodfellowii || 157692 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 776 || Leptotrichia hongkongensis || 554406 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 777 || Leptotrichia sanguinegens(Sneathia sanguinegens) || 40543 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 778 || Leptotrichia shahii || 157691 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 779 || Leptotrichia trevisanii || 109328 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 780 || Leptotrichia wadei || 157687 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 781 || Leuconostoc lactis || 1246 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 782 || Leuconostoc mesenteroides || 1245 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 783 || Leuconostoc pseudomesenteroides || 33968 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 784 || Listeria grayi || 1641 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 785 || Listeria innocua || 1642 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 786 || Listeria ivanovii || 1638 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 787 || Listeria monocytogenes || 1639 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 788 || Listeria seeligeri || 1640 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 789 || Listeria welshimeri || 1643 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 790 || Luteibacter anthropi || 564369 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 791 || Luteococcus peritonei || 88874 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 792 || Luteococcus sanguinis || 174038 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 793 || Lysinibacillus fusiformis || 28031 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 794 || Lysinibacillus sphaericus || 1421 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 795 || Malaciobacter mytili || 603050 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 796 || Mannheimia glucosida || 85401 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 797 || Mannheimia haemolytica || 75985 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 798 || Massilia oculi || 945844 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 799 || Massilia timonae || 47229 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 800 || Megamonas hypermegale || 158847 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 801 || Megasphaera elsdenii || 907 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 802 || Megasphaera micronuciformis || 187326 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 803 || Megasphaera vaginalis || 2045301 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 804 || Metamycoplasma hominis || 2098 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 805 || Metamycoplasma salivarium || 2124 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 806 || Methylobacterium mesophilicum || 39956 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 807 || Methylobacterium zatmanii || 29429 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 808 || Microbacterium binotii || 462710 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 809 || Microbacterium paraoxydans || 199592 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 810 || Microbacterium pyrexiae || 393867 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 811 || Microbacterium yannicii || 671622 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 812 || Micrococcus luteus || 1270 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 813 || Microvirgula aerodenitrificans || 57480 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 814 || Mobiluncus curtisii || 2051 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 815 || Mobiluncus mulieris || 2052 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 816 || Moellerella wisconsensis || 158849 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 817 || Mogibacterium diversum || 114527 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 818 || Mogibacterium neglectum || 114528 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 819 || Mogibacterium pumilum || 86332 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 820 || Mogibacterium timidum || 35519 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 821 || Mogibacterium vescum || 86333 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 822 || Moraxella atlantae || 34059 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 823 || Moraxella bovis || 476 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 824 || Moraxella canis || 90239 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 825 || Moraxella catarrhalis || 480 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 826 || Moraxella caviae || 34060 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 827 || Moraxella cuniculi || 34061 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 828 || Moraxella lacunata || 477 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 829 || Moraxella lincolnii || 90241 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 830 || Moraxella nonliquefaciens || 478 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 831 || Moraxella osloensis || 34062 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 832 || Moraxella ovis || 29433 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 833 || Morganella morganii || 582 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 834 || Moryella indoligenes || 371674 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 835 || Murdochiella asaccharolytica || 507844 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 836 || Mycobacterium abscessus || 36809 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 837 || Mycobacterium africanum || 33894 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 838 || Mycobacterium alsense || 324058 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 839 || Mycobacterium alvei || 67081 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 840 || Mycobacterium arosiense || 425468 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 841 || Mycobacterium arupense || 342002 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 842 || Mycobacterium asiaticum || 1790 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 843 || Mycobacterium aubagnense || 319707 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 844 || Mycobacterium avium || 1764 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 845 || Mycobacterium bacteremicum || 564198 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 846 || Mycobacterium basiliense || 2094119 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 847 || Mycobacterium boenickei || 146017 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 848 || Mycobacterium bohemicum || 56425 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 849 || Mycobacterium bouchedurhonense || 701041 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 850 || Mycobacterium bovis || 1765 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 851 || Mycobacterium branderi || 43348 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 852 || Mycobacterium brisbanense || 146020 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 853 || Mycobacterium canariasense || 228230 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 854 || Mycobacterium caprae || 115862 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 855 || Mycobacterium celatum || 28045 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 856 || Mycobacterium chelonae || 1774 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 857 || Mycobacterium chimaera || 222805 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 858 || Mycobacterium colombiense || 339268 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 859 || Mycobacterium conceptionense || 451644 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 860 || Mycobacterium conspicuum || 44010 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 861 || Mycobacterium cosmeticum || 258533 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 862 || Mycobacterium doricum || 126673 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 863 || Mycobacterium elephantis || 81858 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 864 || Mycobacterium europaeum || 761804 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 865 || Mycobacterium farcinogenes || 1802 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 866 || Mycobacterium flavescens || 1776 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 867 || Mycobacterium florentinum || 292462 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 868 || Mycobacterium fortuitum || 1766 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 869 || Mycobacterium fragae || 1260918 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 870 || Mycobacterium gadium || 1794 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 871 || Mycobacterium gastri || 1777 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 872 || Mycobacterium genavense || 36812 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 873 || Mycobacterium goodii || 134601 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 874 || Mycobacterium gordonae || 1778 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 875 || Mycobacterium grossiae || 1552759 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 876 || Mycobacterium haemophilum || 29311 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 877 || Mycobacterium heckeshornense || 110505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 878 || Mycobacterium heidelbergense || 53376 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 879 || Mycobacterium heraklionense || 512402 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 880 || Mycobacterium holsaticum || 152142 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 881 || Mycobacterium immunogenum || 83262 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 882 || Mycobacterium interjectum || 33895 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 883 || Mycobacterium intermedium || 28445 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 884 || Mycobacterium intracellulare || 1767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 885 || Mycobacterium iranicum || 912594 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 886 || Mycobacterium kansasii || 1768 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 887 || Mycobacterium koreense || 1069220 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 888 || Mycobacterium kubicae || 120959 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 889 || Mycobacterium kumamotonense || 354243 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 890 || Mycobacterium kyorinense || 487514 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 891 || Mycobacterium lacus || 169765 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 892 || Mycobacterium lentiflavum || 141349 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 893 || Mycobacterium leprae || 1769 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 894 || Mycobacterium lepromatosis || 480418 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 895 || Mycobacterium llatzerense || 280871 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 896 || Mycobacterium longobardum || 1108812 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 897 || Mycobacterium mageritense || 53462 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 898 || Mycobacterium malmoense || 1780 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 899 || Mycobacterium mantenii || 560555 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 900 || Mycobacterium marinum || 1781 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 901 || Mycobacterium marseillense || 701042 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 902 || Mycobacterium massiliense || 1962118 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 903 || Mycobacterium microti || 1806 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 904 || Mycobacterium monacense || 85693 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 905 || Mycobacterium mucogenicum || 56689 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 906 || Mycobacterium mungi || 1844474 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 907 || Mycobacterium nebraskense || 244292 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 908 || Mycobacterium neoaurum || 1795 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 909 || Mycobacterium nonchromogenicum || 1782 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 910 || Mycobacterium noviomagense || 459858 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 911 || Mycobacterium palustre || 153971 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 912 || Mycobacterium paraffinicum || 53378 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 913 || Mycobacterium paragordonae || 1389713 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 914 || Mycobacterium parakoreense || 1069221 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 915 || Mycobacterium parascrofulaceum || 240125 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 916 || Mycobacterium paraseoulense || 590652 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 917 || Mycobacterium parmense || 185642 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 918 || Mycobacterium peregrinum || 43304 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 919 || Mycobacterium phocaicum || 319706 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 920 || Mycobacterium pinnipedii || 194542 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 921 || Mycobacterium porcinum || 39693 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 922 || Mycobacterium poriferae || 39694 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 923 || Mycobacterium rhodesiae || 36814 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 924 || Mycobacterium riyadhense || 486698 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 925 || Mycobacterium saskatchewanense || 220927 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 926 || Mycobacterium scrofulaceum || 1783 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 927 || Mycobacterium senegalense || 1796 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 928 || Mycobacterium senuense || 386913 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 929 || Mycobacterium seoulense || 386911 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 930 || Mycobacterium septicum || 98668 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 931 || Mycobacterium setense || 431269 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 932 || Mycobacterium sherrisii || 243061 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 933 || Mycobacterium shimoidei || 29313 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 934 || Mycobacterium shinjukuense || 398694 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 935 || Mycobacterium simiae || 1784 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 936 || Mycobacterium smegmatis || 1772 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 937 || Mycobacterium szulgai || 1787 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 938 || Mycobacterium terrae || 1788 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 939 || Mycobacterium thermoresistibile || 1797 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 940 || Mycobacterium timonense || 701043 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 941 || Mycobacterium tokaiense || 39695 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 942 || Mycobacterium triplex || 47839 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 943 || Mycobacterium triviale || 1798 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 944 || Mycobacterium tuberculosis || 1773 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 945 || Mycobacterium ulcerans || 1809 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 946 || Mycobacterium wolinskyi || 59750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 947 || Mycobacterium xenopi || 1789 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 948 || Mycoplasma amphoriforme || 273136 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 949 || Mycoplasma arginini || 2094 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 950 || Mycoplasma felis || 33923 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 951 || Mycoplasma fermentans || 2115 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 952 || Mycoplasma genitalium || 2097 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 953 || Metamycoplasma hominis&amp;lt;br&amp;gt;(Mycoplasma hominis) || 2098 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 954 || Mycoplasma lipofaciens || 114884 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 955 || Mycoplasma orale || 2121 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 956 || Mycoplasma penetrans || 28227 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 957 || Mycoplasma pirum || 2122 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 958 || Mycoplasma pneumoniae || 2104 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 959 || Mycoplasma salivarium || 2124 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 960 || Mycoplasmoides genitalium || 2097 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 961 || Mycoplasmoides pneumoniae || 2104 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 962 || Mycoplasmopsis fermentans || 2115 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 963 || Myroides injenensis || 1183151 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 964 || Myroides odoratimimus || 76832 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 965 || Myroides odoratus || 256 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 966 || Myroides phaeus || 702745 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 967 || Necropsobacter rosorum || 908285 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 968 || Negativicoccus succinicivorans || 620903 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 969 || Neisseria animaloris || 326522 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 970 || Neisseria bacilliformis || 267212 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 971 || Neisseria canis || 493 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 972 || Neisseria cinerea || 483 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 973 || Neisseria dumasiana || 1931275 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 974 || Neisseria elongata || 495 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 975 || Neisseria flava || 34026 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 976 || Neisseria flavescens || 484 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 977 || Neisseria gonorrhoeae || 485 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 978 || Neisseria lactamica || 486 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 979 || Neisseria macacae || 496 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 980 || Neisseria meningitidis || 487 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 981 || Neisseria mucosa || 488 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 982 || Neisseria oralis || 1107316 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 983 || Neisseria perflava || 33053 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 984 || Neisseria shayeganii || 607712 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 985 || Neisseria sicca || 490 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 986 || Neisseria subflava || 28449 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 987 || Neisseria wadsworthii || 607711 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 988 || Neisseria weaveri || 28091 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 989 || Neisseria zoodegmatis || 326523 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 990 || Neoehrlichia mikurensis || 89586 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 991 || Ehrlichia sennetsu(Neorickettsia sennetsu) || 951 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 992 || Nocardia abscessus || 120957 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 993 || Nocardia africana || 134964 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 994 || Nocardia amikacinitolerans || 756689 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 995 || Nocardia anaemiae || 263910 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 996 || Nocardia aobensis || 257277 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 997 || Nocardia araoensis || 228600 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 998 || Nocardia arizonensis || 1141647 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 999 || Nocardia arthritidis || 228602 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1000 || Nocardia asiatica || 209252 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1001 || Nocardia asteroides || 1824 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1002 || Nocardia barduliensis || 2736643 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1003 || Nocardia beijingensis || 95162 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1004 || Nocardia blacklockiae || 480036 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1005 || Nocardia brasiliensis || 37326 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1006 || Nocardia colli || 2545717 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1007 || Nocardia concava || 257281 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1008 || Nocardia cyriacigeorgici || 135487 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1009 || Nocardia donostiensis || 1538463 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1010 || Nocardia elegans || 300029 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1011 || Nocardia exalbida || 290231 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1012 || Nocardia farcinica || 37329 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1013 || Nocardia gipuzkoensis || 2749991 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1014 || Nocardia harenae || 358707 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1015 || Nocardia higoensis || 228599 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1016 || Nocardia ignorata || 145285 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1017 || Nocardia inohanensis || 209246 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1018 || Nocardia kroppenstedtii || 341199 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1019 || Nocardia kruczakiae || 261477 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1020 || Nocardia mexicana || 279262 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1021 || Nocardia mikamii || 508464 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1022 || Nocardia neocaledoniensis || 236511 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1023 || Nocardia niigatensis || 209249 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1024 || Nocardia ninae || 356145 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1025 || Nocardia niwae || 626084 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1026 || Nocardia nova || 37330 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1027 || Nocardia otitidiscaviarum || 1823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1028 || Nocardia paucivorans || 114259 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1029 || Nocardia pneumoniae || 228601 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1030 || Nocardia pseudobrasiliensis || 45979 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1031 || Nocardia puris || 208602 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1032 || Nocardia senatus || 248552 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1033 || Nocardia shinanonensis || 1769161 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1034 || Nocardia takedensis || 259390 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1035 || Nocardia terpenica || 455432 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1036 || Nocardia testaceus || 248551 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1037 || Nocardia thailandica || 257275 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1038 || Nocardia transvalensis || 37333 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1039 || Nocardia vermiculata || 257274 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1040 || Nocardia veterana || 132249 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1041 || Nocardia vinacea || 96468 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1042 || Nocardia vulneris || 1141657 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1043 || Nocardia wallacei || 480035 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1044 || Nocardia yamanashiensis || 209247 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1045 || Nocardiopsis dassonvillei || 2014 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1046 || Oblitimonas alkaliphila || 1697053 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1047 || Ochrobactrum anthropi || 529 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1048 || Ochrobactrum haematophilum || 419474 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1049 || Ochrobactrum intermedium || 94625 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1050 || Ochrobactrum pseudogrignonense || 419475 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1051 || Ochrobactrum tritici || 94626 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1052 || Odoribacter splanchnicus || 28118 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1053 || Oerskovia turbata || 1713 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1054 || Oligella ureolytica || 90244 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1055 || Oligella urethralis || 90245 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1056 || Oribacterium asaccharolyticum || 1501332 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1057 || Oribacterium parvum || 1501329 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1058 || Oribacterium sinus || 237576 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1059 || Candidatus Orientia mediorientalis(Orientia chuto) || 911112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1060 || Orientia tsutsugamushi || 784 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1061 || Oscillibacter ruminantium || 1263547 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1062 || Paenalcaligenes hominis || 643674 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1063 || Paenibacillus alvei || 44250 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1064 || Paenibacillus amylolyticus || 1451 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1065 || Paenibacillus assamensis || 311244 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1066 || Paenibacillus cineris || 237530 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1067 || Paenibacillus glucanolyticus || 59843 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1068 || Cohnella hongkongensis(Paenibacillus hongkongensis) || 178337 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1069 || Paenibacillus konsidensis || 479474 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1070 || Paenibacillus macerans || 44252 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1071 || Paenibacillus massiliensis || 225917 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1072 || Paenibacillus polymyxa || 1406 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1073 || Paenibacillus provencensis || 441151 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1074 || Paenibacillus residui || 629724 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1075 || Paenibacillus sanguinis || 225906 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1076 || Paenibacillus sputi || 646095 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1077 || Paenibacillus thiaminolyticus || 49283 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1078 || Paenibacillus timonensis || 225915 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1079 || Paenibacillus turicensis || 160487 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1080 || Paenibacillus vulneris || 1133364 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1081 || Pandoraea apista || 93218 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1082 || Pandoraea fibrosis || 1891094 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1083 || Pandoraea pnomenusa || 93220 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1084 || Pandoraea pulmonicola || 93221 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1085 || Pandoraea sputorum || 93222 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1086 || Pantoea agglomerans || 549 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1087 || Pantoea ananatis || 553 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1088 || Pantoea brenneri || 472694 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1089 || Pantoea calida || 665913 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1090 || Pantoea conspicua || 472705 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1091 || Pantoea dispersa || 59814 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1092 || Pantoea eucrina || 472693 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1093 || Pantoea septica || 472695 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1094 || Parabacteroides chongii || 2685834 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1095 || Parabacteroides distasonis || 823 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1096 || Parabacteroides goldsteinii || 328812 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1097 || Parabacteroides gordonii || 574930 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1098 || Paraclostridium bifermentans || 1490 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1099 || Paraclostridium dentum || 2662455 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1100 || Paracoccus sanguinis || 1545044 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1101 || Paracoccus yeeii || 147645 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1102 || Paraeggerthella hongkongensis || 230658 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1103 || Parapseudoflavitalea muciniphila || 2100819 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1104 || Parvimonas micra || 33033 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1105 || Pasteurella aerogenes || 749 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1106 || Pasteurella bettyae || 752 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1107 || Pasteurella caballi || 243701 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1108 || Pasteurella canis || 753 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1109 || Pasteurella dagmatis || 754 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1110 || Pasteurella multocida || 747 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1111 || Pasteurella pneumotropica || 758 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1112 || Pasteurella stomatis || 760 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1113 || Peptococcus niger || 2741 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1114 || Peptoniphilus asaccharolyticus || 1258 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1115 || Aedoeadaptatus coxii(Peptoniphilus coxii) || 755172 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1116 || Peptoniphilus duerdenii || 507750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1117 || Peptoniphilus gorbachii || 411567 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1118 || Peptoniphilus harei || 54005 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1119 || Peptoniphilus koenoeneniae || 507751 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1120 || Peptoniphilus lacydonensis || 1673725 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1121 || Peptoniphilus nemausus || 2582829 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1122 || Peptoniphilus olsenii || 411570 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1123 || Peptoniphilus tyrrelliae || 755171 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1124 || Peptostreptococcus anaerobius || 1261 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1125 || Peptostreptococcus asaccharolyticus || 1258 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1126 || Peptostreptococcus ivorii || 54006 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1127 || Peptostreptococcus lactolyticus || 33032 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1128 || Peptostreptococcus magnus || 1260 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1129 || Peptostreptococcus prevotii || 33034 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1130 || Peptostreptococcus stomatis || 341694 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1131 || Peptostreptococcus vaginalis || 33037 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1132 || Phocaeicola abscessus || 555313 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1133 || Photobacterium damselae || 38293 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1134 || Photorhabdus asymbiotica || 291112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1135 || Plesiomonas shigelloides || 703 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1136 || Pluralibacter gergoviae || 61647 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1137 || Pontibacter altruii || 1908342 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1138 || Porphyromonas asaccharolytica || 28123 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1139 || Porphyromonas bennonis || 501496 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1140 || Porphyromonas catoniae || 41976 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1141 || Porphyromonas circumdentaria || 29524 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1142 || Porphyromonas endodontalis || 28124 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1143 || Porphyromonas gingivalis || 837 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1144 || Porphyromonas levii || 28114 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1145 || Porphyromonas macacae || 28115 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1146 || Porphyromonas somerae || 322095 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1147 || Porphyromonas uenonis || 281920 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1148 || Prescottia equi || 43767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1149 || Prevotella amnii || 419005 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1150 || Prevotella aurantiaca || 596085 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1151 || Segatella baroniae(Prevotella baroniae) || 305719 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1152 || Prevotella bergensis || 242750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1153 || Prevotella bivia || 28125 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1154 || Prevotella brunnea || 2508867 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1155 || Segatella buccae(Prevotella buccae) || 28126 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1156 || Prevotella buccalis || 28127 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1157 || Prevotella colorans || 1703337 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1158 || Prevotella corporis || 28128 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1159 || Prevotella dentalis || 52227 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1160 || Prevotella denticola || 28129 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1161 || Prevotella disiens || 28130 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1162 || Prevotella enoeca || 76123 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1163 || Prevotella fusca || 589436 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1164 || Prevotella heparinolytica || 28113 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1165 || Prevotella intermedia || 28131 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1166 || Prevotella loescheii || 840 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1167 || Prevotella maculosa || 439703 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1168 || Hoylesella marshii(Prevotella marshii) || 189722 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1169 || Prevotella massiliensis || 329988 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1170 || Prevotella melaninogenica || 28132 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1171 || Prevotella multiformis || 282402 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1172 || Hallella multisaccharivorax(Prevotella multisaccharivorax) || 310514 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1173 || Hoylesella nanceiensis(Prevotella nanceiensis) || 425941 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1174 || Prevotella nigrescens || 28133 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1175 || Hoylesella oralis(Prevotella oralis) || 28134 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1176 || Segatella oris(Prevotella oris) || 28135 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1177 || Prevotella oulora || 28136 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1178 || Prevotella pleuritidis || 407975 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1179 || Xylanibacter ruminicola(Prevotella ruminicola) || 839 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1180 || Prevotella scopos || 589437 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1181 || Hoylesella timonensis(Prevotella timonensis) || 386414 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1182 || Prevotella veroralis || 28137 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1183 || Prevotella vespertina || 2608404 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1184 || Prevotella zoogleoformans || 28119 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1185 || Propionibacterium acidifaciens || 556499 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1186 || Propionibacterium acnes || 1747 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1187 || Propionibacterium avidum || 33010 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1188 || Cutibacterium granulosum(Propionibacterium granulosum) || 33011 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1189 || Propionibacterium namnetense || 1574624 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1190 || Arachnia propionica(Propionibacterium propionicum) || 1750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1191 || Proteus faecis || 2050967 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1192 || Proteus mirabilis || 584 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1193 || Proteus penneri || 102862 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1194 || Proteus vulgaris || 585 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1195 || Providencia alcalifaciens || 126385 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1196 || Providencia heimbachae || 333962 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1197 || Providencia rettgeri || 587 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1198 || Providencia stuartii || 588 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1199 || Gulosibacter bifidus(Pseudoclavibacter bifida) || 272239 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1200 || Pseudomonas aeruginosa || 287 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1201 || Aquipseudomonas alcaligenes(Pseudomonas alcaligenes) || 43263 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1202 || Pseudomonas andersonii || 147728 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1203 || Pseudomonas asiatica || 2219225 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1204 || Pseudomonas fluorescens || 294 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1205 || Pseudomonas fulva || 47880 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1206 || Pseudomonas japonica || 256466 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1207 || Pseudomonas juntendi || 2666183 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1208 || Pseudomonas luteola || 47886 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1209 || Pseudomonas mendocina || 300 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1210 || Pseudomonas monteilii || 76759 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1211 || Pseudomonas mosselii || 78327 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1212 || Pseudomonas nosocomialis || 1056496 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1213 || Pseudomonas oryzihabitans || 47885 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1214 || Pseudomonas otitidis || 319939 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1215 || Pseudomonas pickettii || 329 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1216 || Pseudomonas poae || 200451 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1217 || Pseudomonas pseudoalcaligenes || 301 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1218 || Pseudomonas putida || 303 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1219 || Pseudomonas stutzeri || 316 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1220 || Pseudomonas yangonensis || 2579922 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1221 || Pseudonocardia autotrophica || 2074 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1222 || Pseudonocardia carboxydivorans || 415010 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1223 || Pseudonocardia oroxyli || 366584 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1224 || Pseudopropionibacterium propionicum || 1750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1225 || Pseudoramibacter alactolyticus || 113287 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1226 || Pseudoxanthomonas winnipegensis || 2480810 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1227 || Psychrobacter arenosus || 256326 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1228 || Psychrobacter faecalis || 180588 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1229 || Psychrobacter immobilis || 498 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1230 || Psychrobacter phenylpyruvicus || 29432 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1231 || Psychrobacter sanguinis || 861445 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1232 || Pyramidobacter piscolens || 638849 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1233 || Rahnella aquatilis || 34038 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1234 || Ralstonia gilardii || 82541 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1235 || Ralstonia mannitolytica || 105219 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1236 || Ralstonia pickettii || 329 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1237 || Ralstonia respiraculi || 195930 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1238 || Raoultella ornithinolytica || 54291 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1239 || Raoultella planticola || 575 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1240 || Rhizobium pusense || 648995 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1241 || Rhodococcus corynebacterioides || 53972 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1242 || Prescottella equi(Rhodococcus equi) || 43767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1243 || Rhodococcus erythropolis || 1833 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1244 || Rhodococcoides fascians(Rhodococcus fascians) || 1828 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1245 || Rhodococcus globerulus || 33008 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1246 || Rhodococcus gordoniae || 223392 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1247 || Rhodococcus rhodnii || 38312 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1248 || Rhodococcus rhodochrous || 1829 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1249 || Rickettsia aeschlimannii || 45262 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1250 || Rickettsia africae || 35788 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1251 || Rickettsia akari || 786 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1252 || Rickettsia australis || 787 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1253 || Rickettsia conorii || 781 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1254 || Rickettsia felis || 42862 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1255 || Rickettsia heilongjiangensis || 226665 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1256 || Rickettsia helvetica || 35789 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1257 || Rickettsia honei || 37816 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1258 || Rickettsia japonica || 35790 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1259 || Rickettsia massiliae || 35791 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1260 || Rickettsia monacensis || 109232 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1261 || Rickettsia sibirica subsp. mongolitimonae(Rickettsia mongolotimonae) || 45261 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1262 || Rickettsia parkeri || 35792 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1263 || Rickettsia prowazekii || 782 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1264 || Rickettsia raoultii || 369822 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1265 || Rickettsia rickettsii || 783 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1266 || Rickettsia sibirica || 35793 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1267 || Rickettsia slovaca || 35794 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1268 || Rickettsia tamurae || 334545 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1269 || Rickettsia typhi || 785 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1270 || Rickettsia xinyangensis || 0 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1271 || Robinsoniella peoriensis || 180332 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1272 || Rodentibacter pneumotropicus || 758 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1273 || Roseomonas cervicalis || 204525 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1274 || Roseomonas gilardii || 257708 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1275 || Roseomonas mucosa || 207340 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1276 || Rothia aeria || 172042 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1277 || Rothia dentocariosa || 2047 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1278 || Rothia mucilaginosa || 43675 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1279 || Ruminococcus gnavus || 33038 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1280 || Ruminococcus productus || 33035 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1281 || Saccharomonospora viridis || 1852 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1282 || Saccharopolyspora rectivirgula || 28042 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1283 || Saccharopolyspora rosea || 524884 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1284 || Saezia sanguinis || 1965230 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1285 || Salmonella bongori || 54736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1286 || Salmonella choleraesuis || 28901 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1287 || Salmonella enterica || 28901 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1288 || Salmonella enteritidis || 149539 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1289 || Salmonella typhi || 90370 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1290 || Salmonella typhimurium || 90371 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1291 || Scandinavium goeteborgense || 1851514 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1292 || Scardovia wiggsiae || 230143 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1293 || Sciscionella marina || 508770 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1294 || Sebaldella termitidis || 826 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1295 || Sedimentibacter hongkongensis || 178338 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1296 || Segniliparus rotundus || 286802 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1297 || Segniliparus rugosus || 286804 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1298 || Selenomonas artemidis || 671224 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1299 || Selenomonas dianae || 135079 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1300 || Selenomonas flueggei || 135080 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1301 || Selenomonas infelix || 135082 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1302 || Selenomonas noxia || 135083 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1303 || Selenomonas sputigena || 69823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1304 || Serratia ficaria || 61651 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1305 || Serratia fonticola || 47917 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1306 || Serratia liquefaciens || 614 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1307 || Serratia marcescens || 615 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1308 || Serratia odorifera || 618 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1309 || Serratia plymuthica || 82996 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1310 || Serratia proteamaculans || 28151 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1311 || Serratia rubidaea || 61652 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1312 || Shewanella algae || 38313 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1313 || Shewanella haliotis || 38313 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1314 || Shewanella xiamenensis || 332186 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1315 || Shigella boydii || 621 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1316 || Shigella dysenteriae || 622 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1317 || Shigella flexneri || 623 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1318 || Shigella sonnei || 624 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1319 || Shuttleworthia satelles || 177972 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1320 || Simkania negevensis || 83561 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1321 || Slackia exigua || 84109 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1322 || Sneathia amnii || 187101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1323 || Sneathia sanguinegens || 40543 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1324 || Sodalis praecaptivus || 1239307 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1325 || Solobacterium moorei || 102148 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1326 || Sphingobacterium cellulitidis || 1768011 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1327 || Sphingobacterium hotanense || 649196 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1328 || Sphingobacterium multivorum || 28454 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1329 || Sphingobacterium spiritivorum || 258 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1330 || Sphingomonas koreensis || 93064 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1331 || Sphingomonas paucimobilis || 13689 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1332 || Spiroplasma apis || 2137 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1333 || Staphylococcus argenteus || 985002 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1334 || Staphylococcus aureus || 1280 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1335 || Staphylococcus borealis || 2742203 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1336 || Staphylococcus capitis || 29388 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1337 || Staphylococcus caprae || 29380 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1338 || Staphylococcus cohnii || 29382 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1339 || Staphylococcus condimenti || 70255 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1340 || Staphylococcus cornubiensis || 1986155 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1341 || Staphylococcus delphini || 53344 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1342 || Staphylococcus epidermidis || 1282 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1343 || Staphylococcus equorum || 246432 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1344 || Staphylococcus gallinarum || 1293 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1345 || Staphylococcus haemolyticus || 1283 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1346 || Staphylococcus hominis || 1290 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1347 || Staphylococcus hyicus || 1284 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1348 || Staphylococcus intermedius || 1285 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1349 || Staphylococcus lentus || 42858 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1350 || Staphylococcus lugdunensis || 28035 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1351 || Staphylococcus massiliensis || 555791 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1352 || Staphylococcus pasteuri || 45972 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1353 || Staphylococcus pettenkoferi || 170573 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1354 || Staphylococcus pseudintermedius || 283734 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1355 || Staphylococcus pseudolugdunensis || 425474 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1356 || Staphylococcus saccharolyticus || 33028 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1357 || Staphylococcus saprophyticus || 29385 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1358 || Staphylococcus schleiferi || 1295 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1359 || Mammaliicoccus sciuri(Staphylococcus sciuri) || 1296 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1360 || Staphylococcus simulans || 1286 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1361 || Staphylococcus succinus || 61015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1362 || Staphylococcus warneri || 1292 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1363 || Staphylococcus xylosus || 1288 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1364 || Stenotrophomonas africana || 1292134 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1365 || Stenotrophomonas maltophilia || 40324 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1366 || Stomatobaculum longum || 796942 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1367 || Streptobacillus hongkongensis || 1162717 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1368 || Streptobacillus moniliformis || 34105 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1369 || Streptococcus acidominimus || 1326 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1370 || Streptococcus agalactiae || 1311 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1371 || Streptococcus alactolyticus || 29389 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1372 || Streptococcus anginosus || 1328 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1373 || Streptococcus australis || 113107 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1374 || Streptococcus bovis || 1335 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1375 || Streptococcus canis || 1329 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1376 || Streptococcus constellatus || 76860 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1377 || Streptococcus criceti || 1333 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1378 || Streptococcus cristatus || 45634 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1379 || Streptococcus devriesei || 231233 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1380 || Streptococcus dysgalactiae || 1334 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1381 || Streptococcus equi || 1336 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1382 || Streptococcus equinus || 1335 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1383 || Streptococcus gallinaceus || 165758 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1384 || Streptococcus gordonii || 1302 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1385 || Streptococcus halichoeri || 254785 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1386 || Streptococcus hongkongensis || 910939 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1387 || Streptococcus infantarius || 102684 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1388 || Streptococcus iniae || 1346 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1389 || Streptococcus intermedius || 1338 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1390 || Streptococcus lactarius || 684066 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1391 || Streptococcus massiliensis || 313439 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1392 || Streptococcus merionis || 400065 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1393 || Streptococcus minor || 229549 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1394 || Streptococcus mitis || 28037 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1395 || Streptococcus mutans || 1309 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1396 || Streptococcus oralis || 1303 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1397 || Streptococcus parasanguinis || 1318 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1398 || Streptococcus pasteurianus || 197614 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1399 || Streptococcus pluranimalium || 82348 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1400 || Streptococcus pneumoniae || 1313 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1401 || Streptococcus porcinus || 1340 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1402 || Streptococcus pseudopneumoniae || 257758 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1403 || Streptococcus pseudoporcinus || 361101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1404 || Streptococcus pyogenes || 1314 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1405 || Streptococcus salivarius || 1304 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1406 || Streptococcus sanguis || 1305 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1407 || Streptococcus sinensis || 176090 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1408 || Streptococcus sobrinus || 1310 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1409 || Streptococcus suis || 1307 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1410 || Streptococcus thoraltensis || 55085 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1411 || Streptococcus tigurinus || 1077464 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1412 || Streptococcus uberis || 1349 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1413 || Streptococcus urinalis || 149016 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1414 || Streptococcus vestibularis || 1343 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1415 || Streptomyces albus || 1888 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1416 || Streptomyces bikiniensis || 1896 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1417 || Streptomyces cacaoi || 1898 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1418 || Streptomyces griseus || 1911 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1419 || Streptomyces lanatus || 66900 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1420 || Streptomyces somaliensis || 78355 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1421 || Streptomyces thermovulgaris || 1934 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1422 || Sutterella wadsworthensis || 40545 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1423 || Suttonella indologenes || 13276 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1424 || Tannerella forsythia || 28112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1425 || Tannerella serpentiformis || 712710 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1426 || Tatlockia maceachernii || 466 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1427 || Tatlockia micdadei || 451 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1428 || Tatumella ptyseos || 82987 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1429 || Tatumella saanichensis || 480813 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1430 || Tepidimonas arfidensis || 288769 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1431 || Terrisporobacter glycolicus || 36841 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1432 || Tissierella carlieri || 689904 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1433 || Tissierella praeacuta || 43131 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1434 || Treponema amylovorum || 59892 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1435 || Treponema carateum || 0 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1436 || Treponema denticola || 158 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1437 || Treponema lecithinolyticum || 53418 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1438 || Treponema maltophilum || 51160 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1439 || Treponema medium || 58231 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1440 || Treponema pallidum || 160 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1441 || Treponema parvum || 138851 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1442 || Treponema pectinovorum || 164 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1443 || Treponema putidum || 221027 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1444 || Treponema socranskii || 53419 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1445 || Tropheryma whippelii || 2039 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1446 || Tropheryma whipplei || 2039 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1447 || Trueperella bernardiae || 59561 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1448 || Trueperella pyogenes || 1661 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1449 || Tsukamurella asaccharolytica || 2592067 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1450 || Tsukamurella conjunctivitidis || 2592068 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1451 || Tsukamurella hominis || 1970232 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1452 || Tsukamurella hongkongensis || 1671023 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1453 || Tsukamurella inchonensis || 42777 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1454 || Tsukamurella ocularis || 1970234 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1455 || Tsukamurella paurometabola || 2061 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1456 || Tsukamurella pulmonis || 47312 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1457 || Tsukamurella sinensi || 1671022 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1458 || Tsukamurella sputi || 2591848 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1459 || Tsukamurella strandjordae || 147577 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1460 || Tsukamurella tyrosinosolvens || 57704 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1461 || Turicella otitidis || 29321 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1462 || Turicibacter sanguinis || 154288 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1463 || Ureaplasma urealyticum || 2130 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1464 || Vagococcus fluvialis || 2738 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1465 || Vagococcus lutrae || 81947 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1466 || Vagococcus vulneris || 1977869 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1467 || Varibaculum cambriensis || 184870 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1468 || Veillonella atypica || 39777 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1469 || Veillonella denticariosi || 419208 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1470 || Veillonella dispar || 39778 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1471 || Veillonella montpellierensis || 187328 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1472 || Veillonella parvula || 29466 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1473 || Veillonella rogosae || 423477 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1474 || Vibrio alginolyticus || 663 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1475 || Vibrio anguillarum || 55601 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1476 || Vibrio cholerae || 666 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1477 || Vibrio cidicii || 1763883 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1478 || Vibrio cincinnatiensis || 675 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1479 || Vibrio fluvialis || 676 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1480 || Vibrio furnissii || 29494 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1481 || Vibrio harveyi || 669 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1482 || Vibrio hollisae || 673 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1483 || Vibrio injenensis || 1307414 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1484 || Vibrio metschnikovii || 28172 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1485 || Vibrio mimicus || 674 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1486 || Vibrio parahaemolyticus || 670 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1487 || Vibrio vulnificus || 672 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1488 || Waddlia chondrophila || 71667 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1489 || Wautersiella falsenii || 343874 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1490 || Weeksella massiliensi || 1461577 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1491 || Weeksella virosa || 1014 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1492 || Weeksella zoohelcum || 1015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1493 || Weissella confusa || 1583 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1494 || Williamsia deligens || 321325 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1495 || Williamsia muralis || 85044 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1496 || Williamsia serinedens || 391736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1497 || Wohlfahrtiimonas chitiniclastica || 400946 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1498 || Wolinella succinogenes || 844 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1499 || Xenophilus aerolatus || 452922 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1500 || Yersinia bercovieri || 634 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1501 || Yersinia canariae || 2607663 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1502 || Yersinia enterocolitica || 630 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1503 || Yersinia frederiksenii || 29484 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1504 || Yersinia intermedia || 631 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1505 || Yersinia kristensenii || 28152 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1506 || Yersinia mollaretii || 33060 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1507 || Yersinia pestis || 632 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1508 || Yersinia pseudotuberculosis || 633 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1509 || Yersinia rohdei || 29485 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1510 || Yersinia ruckeri || 29486 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1511 || Yokenella regensburgei || 158877 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1512 || Arcanobacteria haemolyticum || 28264 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1513 || Corynebacteria diphtheriae || 1717 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1514 || Corynebacteria striatum || 43770 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1515 || Cryptococcus neoformans || 5207 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1516 || Escherichia coli O104:H4 || 1038927 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1517 || Histoplasma capsulatum || 447093 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1518 || Mycobacteria avium || 1770 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1519 || Mycobacteria intracellulare || 1767 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1520 || Mycobacteria kansasii || 1768 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1521 || Mycobacteria tuberculosis || 1773 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1522 || Nocardia cyriacigeorgica || 135487 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1523 || Nocardia huaxiensis || 2755382 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1524 || Nocardia iowensis || 204891 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1525 || Nocardia salmonicida || 53431 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1526 || Nocardia sp. FDAARGOS_372 || 2018066 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1527 || Nocardia sp. NBC_00403 || 2975990 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1528 || Nocardia sp. NBC_00416 || 2975991 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1529 || Nocardia sp. NBC_00508 || 2975992 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1530 || Nocardia sp. NBC_00565 || 2975993 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1531 || Nocardia sp. NBC_01327 || 2903593 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1532 || Nocardia sp. NBC_01329 || 2903594 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1533 || Nocardia sp. NBC_01503 || 2975997 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1534 || Nocardia sp. NBC_01730 || 2975998 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1535 || Streptococcus sp. &#039;group B&#039; || 1319 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1536 || Streptococcus viridans || 78535 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1537 || Lactobacillus crispatus || 47770 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1538 || Achromobacter deleyi || 1353891 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1539 || Achromobacter pestifer || 1353889 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1540 || Acinetobacter sp. FDAARGOS_131 || 1876769 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1541 || Acinetobacter sp. FDAARGOS_493 || 2420300 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1542 || Acinetobacter sp. FDAARGOS_494 || 2420301 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1543 || Acinetobacter sp. FDAARGOS_495 || 2420302 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1544 || Acinetobacter sp. FDAARGOS_515 || 2420307 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1545 || Acinetobacter sp. FDAARGOS_541 || 2420312 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1546 || Acinetobacter sp. FDAARGOS_558 || 2420303 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1547 || Acinetobacter sp. FDAARGOS_559 || 2420304 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1548 || Acinetobacter sp. FDAARGOS_560 || 2420305 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1549 || Acinetobacter sp. FDAARGOS_724 || 2545797 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1550 || Aeromonas allosaccharophila || 656 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1551 || Aeromonas enteropelogenes || 29489 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1552 || Aeromonas sp. FDAARGOS 1402 || 2778051 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1553 || Aeromonas sp. FDAARGOS 1403 || 2778052 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1554 || Aeromonas sp. FDAARGOS 1404 || 2778053 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1555 || Aeromonas sp. FDAARGOS 1405 || 2778054 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1556 || Aeromonas sp. FDAARGOS 1406 || 2778055 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1557 || Aeromonas sp. FDAARGOS 1407 || 2778056 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1558 || Aeromonas sp. FDAARGOS 1408 || 2778057 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1559 || Aeromonas sp. FDAARGOS 1409 || 2778058 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1560 || Aeromonas sp. FDAARGOS 1410 || 2778059 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1561 || Aeromonas sp. FDAARGOS 1411 || 2778060 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1562 || Aeromonas sp. FDAARGOS 1414 || 2778063 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1563 || Aeromonas sp. FDAARGOS 1415 || 2778064 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1564 || Aeromonas sp. FDAARGOS 1416 || 2778065 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1565 || Aeromonas sp. FDAARGOS 1417 || 2778066 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1566 || Aeromonas sp. FDAARGOS 1418 || 2778067 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1567 || Aeromonas sp. FDAARGOS 1419 || 2778068 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1568 || Agrobacterium pusense || 648995 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1569 || Agrobacterium sp. FDAARGOS_525 || 2420311 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1570 || Alistipes senegalensis || 1288121 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1571 || Anaerococcus degeneri || 361500 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1572 || Anaerococcus obesiensis || 1287640 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1573 || Arachnia propionica || 1750 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1574 || Bacillus sp. (in: firmicutes) || 1409 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1575 || Bacillus sp. FDAARGOS_1420 || 2856338 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1576 || Bacillus sp. FDAARGOS_235 || 1839798 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1577 || Bacillus sp. FDAARGOS_527 || 2576356 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1578 || Bacillus tropicus || 2026188 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1579 || Bacteroides cellulosilyticus || 246787 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1580 || Bartonella henselae str. Houston-1 || 283166 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1581 || Bifidobacterium breve || 1685 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1582 || Blautia massiliensis (ex Durand et al. 2017) || 1737424 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1583 || Borreliella burgdorferi || 139 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1584 || Brucella anthropi || 529 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1585 || Burkholderia gladioli pv. gladioli || 32009 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1586 || Burkholderia humptydooensis || 430531 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1587 || Burkholderia plantarii || 41899 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1588 || Capnocytophaga sp. FDAARGOS_737 || 2545799 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1589 || Cedecea sp. FDAARGOS_727 || 2545798 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1590 || Chryseobacterium arthrosphaerae || 651561 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1591 || Chryseobacterium gallinarum || 1324352 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1592 || Chryseobacterium sp. FDAARGOS 1104 || 2778077 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1593 || Citrobacter europaeus || 1914243 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1594 || Citrobacter portucalensis || 1639133 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1595 || Citrobacter sp. FDAARGOS_156 || 1702170 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1596 || Clavispora lusitaniae || 36911 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1597 || Clostridium scindens || 29347 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1598 || Clostridium sp. M62/1 || 411486 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1599 || Collinsella stercoris || 445975 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1600 || Comamonas terrigena || 32013 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1601 || Coprococcus comes || 410072 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1602 || Coprococcus eutactus || 411474 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1603 || Corynebacterium kefirresidentii || 1979527 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1604 || Corynebacterium sp. FDAARGOS 1242 || 2778078 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1605 || Cryptococcus deneoformans || 214684 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1606 || Cryptococcus gattii || 37769 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1607 || Cupriavidus necator || 106590 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1608 || Dermabacter vaginalis || 1630135 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1609 || Dermacoccus nishinomiyaensis || 1274 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1610 || Enterobacter roggenkampii || 1812935 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1611 || Enterocloster bolteae || 208479 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1612 || Enterocloster clostridioformis || 1531 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1613 || Enterococcus sp. FDAARGOS_375 || 2060307 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1614 || Enterococcus sp. FDAARGOS_553 || 2420313 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1615 || Enterovirus A71 || 39054 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1616 || Enterovirus B || 138949 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1617 || Enterovirus C99 || 1295563 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1618 || Fannyhessea vaginae || 40545 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1619 || Faucicola osloensis || 34062 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1620 || Fusobacterium canifelinum || 285729 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1621 || Grimontia hollisae || 673 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1622 || Heyndrickxia coagulans || 1398 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1623 || Hoylesella buccalis || 28127 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1624 || Jonesia denitrificans || 43674 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1625 || Klebsiella michiganensis || 1134687 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1626 || Klebsiella sp. FDAARGOS_511 || 2488567 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1627 || Lachnospira eligens || 39485 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1628 || Lachnospiraceae bacterium GAM79 || 2109691 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1629 || Lacrimispora saccharolytica || 84030 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1630 || Lactococcus lactis || 1358 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1631 || Leishmania donovani || 5661 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1632 || Leuconostoc falkenbergense || 2766470 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1633 || Lomentospora prolificans || 41688 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1634 || Lysinibacillus macroides || 33935 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1635 || Macrococcoides caseolyticum || 69966 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1636 || Madurella fahalii || 1157608 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1637 || Mammaliicoccus vitulinus || 71237 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1638 || Mediterraneibacter gnavus || 33038 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1639 || Micrococcus sp. FDAARGOS_333 || 1930558 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1640 || Mycobacterium ostraviense || 2738409 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1641 || Mycobacteroides abscessus || 1185650 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1642 || Mycolicibacterium smegmatis || 1772 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1643 || Niallia circulans || 1397 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1644 || Pantoea sp. FDAARGOS_194 || 1975707 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1645 || Pantoea vagans || 470934 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1646 || Parabacteroides johnsonii || 387661 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1647 || Parabacteroides merdae || 46503 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1648 || Paraburkholderia fungorum || 134537 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1649 || Paraburkholderia ginsengisoli || 311231 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1650 || Paracoccus yeei || 147645 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1651 || Pediococcus acidilactici || 1254 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1652 || Pediococcus pentosaceus || 1255 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1653 || Peribacillus psychrosaccharolyticus || 1407 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1654 || Phocaeicola coprophilus || 387090 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1655 || Phocaeicola dorei(Bacteroides dorei) || 357276 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1656 || Pichia kudriavzevii || 4909 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1657 || Plasmodium falciparum || 36329 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1658 || Pseudomonas protegens || 380021 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1659 || Pseudomonas sp. FDAARGOS_380 || 2018067 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1660 || Pseudomonas sp. FDAARGOS_761 || 2545800 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1661 || Psychrobacter cryohalolentis || 330922 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1662 || Psychrobacter sp. FDAARGOS_221 || 1975705 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1663 || Rhodanobacter sp. FDAARGOS 1247 || 2778082 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1664 || Roseburia inulinivorans || 622312 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1665 || Roseobacter denitrificans || 2434 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1666 || Rothia kristinae || 37923 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1667 || Ruminococcus albus 8 || 246199 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1668 || Salmonella enterica subsp. enterica serovar Bredeney || 134047 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1669 || Salmonella enterica subsp. enterica serovar Hadar || 149385 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1670 || Salmonella enterica subsp. enterica serovar Heidelberg || 611 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1671 || Salmonella enterica subsp. enterica serovar Ohio || 117541 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1672 || Salmonella enterica subsp. enterica serovar Typhimurium || 90371 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1673 || Salmonella enterica subsp. enterica serovar Typhimurium var. 5- || 1620419 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1674 || Schaalia odontolytica || 1660 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1675 || Segatella copri || 537011 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1676 || Serratia sp. FDAARGOS_506 || 2420306 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1677 || Serratia ureilytica || 300181 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1678 || Severe acute respiratory syndrome coronavirus 2 || 2697049 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1679 || Shewanella putrefaciens || 24 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1680 || Shewanella sp. FDAARGOS_354 || 1930557 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1681 || Simplexvirus humanalpha1 || 10298 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1682 || Staphylococcus auricularis || 29379 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1683 || Staphylococcus carnosus || 1281 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1684 || Staphylococcus felis || 46127 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1685 || Staphylococcus sp. FDAARGOS_39 || 2201033 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1686 || Streptococcus gallolyticus || 315405 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1687 || Streptococcus lutetiensis || 150055 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1688 || Streptococcus sanguinis || 1305 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1689 || Streptococcus sp. FDAARGOS_146 || 1702171 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1690 || Streptococcus sp. FDAARGOS_192 || 1839799 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1691 || Streptococcus sp. FDAARGOS_256 || 1975706 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1692 || Streptococcus sp. FDAARGOS_520 || 2420308 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1693 || Streptococcus sp. FDAARGOS_521 || 2420309 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1694 || Streptococcus sp. FDAARGOS_522 || 2420310 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1695 || Streptococcus thermophilus || 322159 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1696 || Streptomyces californicus || 67351 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1697 || Stutzerimonas balearica || 74829 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1698 || Stutzerimonas degradans || 2968968 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1699 || Stutzerimonas frequens || 2968969 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1700 || Stutzerimonas stutzeri || 316 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1701 || Talaromyces marneffei || 37727 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1702 || Thomasclavelia ramosa || 1547 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1703 || Vibrio diabolicus || 50719 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1704 || Weissella paramesenteroides || 1249 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1705 || Yersinia sp. FDAARGOS_228 || 1839800 ||  || FDA-ARGOS&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Viral Pathogens ==&lt;br /&gt;
&amp;lt;div style=&amp;quot;height: 500px; overflow-y: auto;&amp;quot;&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
! # !! Organism Name !! NCBI_taxid !! Source_PMID !! Source_ARGOS !! Source_Uniprot&lt;br /&gt;
|-&lt;br /&gt;
| 1 || Ljunganvirus 1 (LV) (Ljungan virus 1) || 1001061 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 2 || Influenza C virus (strain C/Johannesburg/1/1966) || 100673 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 3 || Influenza A virus (strain A/Chicken/Hong Kong/220/1997 H5N1 genotype Gs/Gd) || 100834 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 4 || Cowpox virus (CPV) || 10243 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 5 || Monkeypox virus || 10244 ||  || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 6 || Vaccinia virus (strain LC16m0) (VACV) || 10246 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 7 || Vaccinia virus (strain WR 65-16) (VACV) || 10247 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 8 || Vaccinia virus (strain LC16m8) (VACV) || 10248 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 9 || Vaccinia virus (strain Copenhagen) (VACV) || 10249 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 10 || Vaccinia virus (strain Dairen I) (VACV) || 10250 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 11 || Vaccinia virus (strain IHD-J) (VACV) || 10251 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 12 || Vaccinia virus (strain Lister) (VACV) || 10252 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 13 || Vaccinia virus (strain Tian Tan) (VACV) || 10253 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 14 || Variola virus || 10255 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 15 || Orf virus (ORFV) || 10258 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 16 || Orf virus (strain NZ2) (OV NZ-2) || 10259 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 17 || Molluscum contagiosum virus subtype 1 (MOCV) (MCVI) || 10280 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 18 || Molluscum contagiosum virus subtype 2 (MOCV) (MCVII) || 10281 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 19 || Human herpesvirus 1 (HHV-1) (Human herpes simplex virus 1) || 10298 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 20 || Human herpesvirus 1 (strain 17) (HHV-1) (Human herpes simplex virus 1) || 10299 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 21 || Human herpesvirus 1 (strain A44) (HHV-1) (Human herpes simplex virus 1) || 10300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 22 || Human herpesvirus 1 (strain Angelotti) (HHV-1) (Human herpes simplex virus 1) || 10301 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 23 || Human herpesvirus 1 (strain CL101) (HHV-1) (Human herpes simplex virus 1) || 10302 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 24 || Human herpesvirus 1 (strain HFEM) (HHV-1) (Human herpes simplex virus 1) || 10303 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 25 || Human herpesvirus 1 (strain F) (HHV-1) (Human herpes simplex virus 1) || 10304 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 26 || Human herpesvirus 1 (strain HZT) (HHV-1) (Human herpes simplex virus 1) || 10305 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 27 || Human herpesvirus 1 (strain KOS) (HHV-1) (Human herpes simplex virus 1) || 10306 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 28 || Human herpesvirus 1 (strain MP) (HHV-1) (Human herpes simplex virus 1) || 10307 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 29 || Human herpesvirus 1 (strain Patton) (HHV-1) (Human herpes simplex virus 1) || 10308 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 30 || Human herpesvirus 1 (strain SC16) (HHV-1) (Human herpes simplex virus 1) || 10309 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 31 || Human herpesvirus 2 (HHV-2) (Human herpes simplex virus 2) || 10310 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 32 || Human herpesvirus 2 (strain 186) (HHV-2) (Human herpes simplex virus 2) || 10312 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 33 || Human herpesvirus 2 (strain 333) (HHV-2) (Human herpes simplex virus 2) || 10313 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 34 || Human herpesvirus 2 (strain G) (HHV-2) (Human herpes simplex virus 2) || 10314 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 35 || Human herpesvirus 2 (strain HG52) (HHV-2) (Human herpes simplex virus 2) || 10315 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 36 || Herpes simplex virus type 2 (strain SA8) (Simian agent 8) || 10316 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 37 || Cercopithecine herpesvirus 1 (CeHV-1) (Simian herpes B virus) || 10325 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 38 || Human herpesvirus 3 (HHV-3) (Varicella-zoster virus) || 10335 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 39 || Varicella-zoster virus (strain Dumas) (HHV-3) (Human herpesvirus 3) || 10338 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 40 || Human cytomegalovirus (HHV-5) (Human herpesvirus 5) || 10359 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 41 || Human cytomegalovirus (strain AD169) (HHV-5) (Human herpesvirus 5) || 10360 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 42 || Human cytomegalovirus (strain Eisenhardt) (HHV-5) (Human herpesvirus 5) || 10362 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 43 || Human cytomegalovirus (strain Towne) (HHV-5) (Human herpesvirus 5) || 10363 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 44 || Human herpesvirus 6A (strain GS) (HHV-6 variant A) (Human B lymphotropic virus) || 10369 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 45 || Human herpesvirus 6A (strain Uganda-1102) (HHV-6 variant A) (Human B lymphotropic virus) || 10370 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 46 || Epstein-Barr virus (strain GD1) (HHV-4) (Human gammaherpesvirus 4) || 10376 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 47 || Epstein-Barr virus (strain B95-8) (HHV-4) (Human herpesvirus 4) || 10377 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 48 || Epstein-Barr virus (strain Raji) (HHV-4) (Human herpesvirus 4) || 10378 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 49 || Coxsackievirus B1 (strain Japan) || 103902 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 50 || Coxsackievirus B3 (strain Nancy) || 103903 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 51 || Coxsackievirus B3 (strain Woodruff) || 103904 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 52 || Coxsackievirus B4 (strain E2) || 103905 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 53 || Coxsackievirus B4 (strain JVB / Benschoten / New York/51) || 103906 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 54 || Coxsackievirus B5 (strain Peterborough / 1954/UK/85) || 103907 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 55 || Echovirus 1 (strain Human/Egypt/Farouk/1951) (E-1) || 103908 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 56 || Echovirus 12 (strain Travis) || 103909 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 57 || Echovirus 16 (strain Harrington) || 103910 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 58 || Human parechovirus 1 (strain Harris) (HPeV-1) (Echovirus 22) || 103911 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 59 || Echovirus 6 (strain Charles) || 103913 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 60 || Echovirus 9 (strain Barty) || 103914 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 61 || Echovirus 9 (strain Hill) || 103915 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 62 || Human herpesvirus 2 (strain B4327UR) (HHV-2) (Human herpes simplex virus 2) || 103921 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 63 || Human enterovirus 71 (strain 7423/MS/87) (EV71) (EV-71) || 103922 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 64 || Rabies virus (strain Pasteur vaccins / PV) (RABV) || 103929 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 65 || Hepatitis B virus (HBV) || 10407 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 66 || Hepatitis B virus genotype C subtype adr (strain Japan/adr4/1983) (HBV-C) || 10409 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 67 || Hepatitis B virus genotype A2 subtype adw2 (isolate Germany/991/1990) (HBV-A) || 10410 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 68 || Hepatitis B virus genotype D (isolate France/alpha1/1989) (HBV-D) || 10411 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 69 || Hepatitis B virus genotype B2 (isolate Indonesia/pIDW420/1988) (HBV-B) || 10412 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 70 || Hepatitis B virus genotype B1 subtype adw (isolate Japan/pJDW233/1988) (HBV-B) || 10413 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 71 || Hepatitis B virus genotype B/C subtype adw (isolate Okinawa/pODW282/1998) (HBV-B) || 10415 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 72 || Hepatitis B virus genotype D subtype adw (isolate United Kingdom/adyw/1979) (HBV-D) || 10419 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 73 || Hepatitis delta virus genotype II (isolate 7/18/83) (HDV) || 10421 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 74 || Hepatitis delta virus genotype I (isolate American) (HDV) || 10422 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 75 || Hepatitis delta virus genotype I (isolate Italian) (HDV) || 10423 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 76 || Hepatitis delta virus genotype I (isolate Japanese M-1) (HDV) || 10424 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 77 || Hepatitis delta virus genotype I (isolate Japanese M-2) (HDV) || 10425 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 78 || Hepatitis delta virus genotype I (isolate Nauru) (HDV) || 10426 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 79 || Hepatitis delta virus genotype II (isolate Japanese S-1) (HDV) || 10427 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 80 || Hepatitis delta virus genotype I (isolate Japanese S-2) (HDV) || 10428 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 81 || Human adenovirus C serotype 2 (HAdV-2) (Human adenovirus 2) || 10515 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 82 || Human adenovirus B serotype 7 (HAdV-7) (Human adenovirus 7) || 10519 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 83 || Human adenovirus B serotype 35 (HAdV-35) (Human adenovirus 35) || 10522 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 84 || Human adenovirus F serotype 41 (HAdV-41) (Human adenovirus 41) || 10524 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 85 || Human adenovirus D serotype 9 (HAdV-9) (Human adenovirus 9) || 10527 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 86 || Human adenovirus A serotype 18 (HAdV-18) (Human adenovirus 18) || 10528 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 87 || Human adenovirus A serotype 31 (HAdV-31) (Human adenovirus 31) || 10529 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 88 || Human adenovirus C serotype 1 (HAdV-1) (Human adenovirus 1) || 10533 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 89 || Human adenovirus C serotype 6 (HAdV-6) (Human adenovirus 6) || 10534 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 90 || Human papillomavirus 13 || 10573 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 91 || Human papillomavirus type 8 || 10579 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 92 || Human papillomavirus 11 || 10580 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 93 || Human papillomavirus type 1 (Human papillomavirus type 1a) || 10583 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 94 || Human papillomavirus type 2a || 10584 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 95 || Human papillomavirus 31 || 10585 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 96 || Human papillomavirus 33 || 10586 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 97 || Human papillomavirus 35 || 10587 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 98 || Human papillomavirus 39 || 10588 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 99 || Human papillomavirus type 41 || 10589 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 100 || Human papillomavirus 42 || 10590 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 101 || Human papillomavirus 43 || 10591 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 102 || Human papillomavirus 44 || 10592 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 103 || Human papillomavirus 45 || 10593 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 104 || Human papillomavirus 47 || 10594 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 105 || Human papillomavirus 51 || 10595 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 106 || Human papillomavirus 56 || 10596 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 107 || Human papillomavirus 58 || 10598 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 108 || Human papillomavirus type 5b || 10599 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 109 || Human papillomavirus type 6b || 10600 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 110 || Human papillomavirus type 6c || 10601 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 111 || Human papillomavirus type ME180 || 10602 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 112 || Human papillomavirus 12 || 10604 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 113 || Human papillomavirus 14 || 10605 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 114 || Human papillomavirus 15 || 10606 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 115 || Human papillomavirus 17 || 10607 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 116 || Human papillomavirus 19 || 10608 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 117 || Human papillomavirus 25 || 10609 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 118 || Human papillomavirus 30 || 10611 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 119 || Human papillomavirus 3 || 10614 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 120 || Human papillomavirus 40 || 10615 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 121 || Human papillomavirus type 49 || 10616 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 122 || Human papillomavirus 4 || 10617 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 123 || Human papillomavirus 52 || 10618 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 124 || Human papillomavirus 7 || 10620 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 125 || Human papillomavirus 9 || 10621 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 126 || BK polyomavirus (strain AS) (BKPyV) || 10631 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 127 || JC polyomavirus (JCPyV) (JCV) || 10632 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 128 || Hepatitis B virus subtype adr (HBV) || 106820 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 129 || Hepatitis B virus subtype adw (HBV) || 106821 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 130 || Influenza B virus (strain B/Ibaraki/2/1985) || 107411 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 131 || Influenza B virus (strain B/Singapore/222/1979) || 107417 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 132 || Influenza B virus (strain B/Victoria/2/1987) || 1077587 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 133 || Human parvovirus B19 (HPV B19) || 10798 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 134 || Influenza A virus (strain A/Niigata/137/1996 H3N2) || 109049 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 135 || Rotavirus B (isolate RVB/Human/China/ADRV/1982) (RV-B) (Rotavirus B (isolate adult diarrhea rotavirus)) || 10942 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 136 || Rotavirus A (isolate RVA/Human/Sweden/1076/1983/G2P2A[6]) (RV-A) || 10944 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 137 || Rotavirus A (strain RVA/Human/Indonesia/69M/1980/G8P4[10]) (RV-A) || 10947 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 138 || Rotavirus A (isolate RVA/Human/Australia/Hu5/1977/G2P[X]) (RV-A) (Rotavirus A (isolate Hu/5)) || 10948 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 139 || Rotavirus A (strain RVA/Human/Indonesia/B37/XXXX/G8P[X]) (RV-A) || 10949 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 140 || Rotavirus A (strain RVA/Human/United States/DS-1/1976/G2P1B[4]) (RV-A) (Rotavirus A (strain DS1)) || 10950 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 141 || Rotavirus A (strain RVA/Human/Venezuela/HN126/1983/G2P[X]) (RV-A) (Rotavirus A (strain HN-126)) || 10951 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 142 || Rotavirus A (strain RVA/Human/Japan/KU/1995/G1P1A[8]) (RV-A) || 10952 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 143 || Rotavirus A (strain RVA/Human/Philippines/L26/1987/G12P1B[4]) (RV-A) || 10953 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 144 || Rotavirus A (strain RVA/Human/Venezuela/M37/1982/G1P2A[6]) (RV-A) || 10954 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 145 || Rotavirus A (isolate RVA/Human/Australia/McN13/1980/G3P2A[6]) (RV-A) || 10955 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 146 || Rotavirus A (strain RVA/Human/Japan/MO/1982/G3P1A[8]) (RV-A) || 10956 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 147 || Rotavirus A (strain RVA/Human/United States/P/1974/G3P1A[8]) (RV-A) || 10957 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 148 || Rotavirus A (strain RVA/Human/Japan/S2/1980/G2P1B[4]) (RV-A) || 10959 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 149 || Rotavirus A (strain RVA/Human/United Kingdom/ST3/1975/G4P2A[6]) (RV-A) (Rotavirus A (strain St. Thomas 3)) || 10960 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 150 || Rotavirus A (isolate RVA/Human/Italy/VA70/1975/G4P1A[8]) (RV-A) || 10961 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 151 || Rotavirus A (strain RVA/Human/United States/Wa/1974/G1P1A[8]) (RV-A) || 10962 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 152 || Barmah forest virus (BFV) || 11020 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 153 || Eastern equine encephalitis virus (EEEV) (Eastern equine encephalomyelitis virus) || 11021 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 154 || Eastern equine encephalitis virus (strain va33[ten broeck]) (EEEV) (Eastern equine encephalomyelitis virus) || 11022 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 155 || O&#039;nyong-nyong virus (strain Gulu) (ONNV) || 11028 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 156 || Ross river virus (strain 213970) (RRV) || 11030 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 157 || Ross river virus (strain NB5092) (RRV) || 11031 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 158 || Ross river virus (strain T48) (RRV) || 11032 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 159 || Semliki forest virus (SFV) || 11033 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 160 || Sindbis virus (SINV) || 11034 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 161 || Venezuelan equine encephalitis virus (strain TC-83) (VEEV) || 11037 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 162 || Venezuelan equine encephalitis virus (strain Trinidad donkey) (VEEV) || 11038 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 163 || Western equine encephalitis virus (WEEV) || 11039 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 164 || Rubella virus (RUBV) || 11041 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 165 || Rubella virus (strain M33) (RUBV) || 11043 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 166 || Rubella virus (strain RA27/3 vaccine) (RUBV) || 11044 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 167 || Rubella virus (strain Therien) (RUBV) || 11045 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 168 || Dengue virus type 1 (strain Thailand/AHF 82-80/1980) (DENV-1) || 11057 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 169 || Dengue virus type 1 (strain Jamaica/CV1636/1977) (DENV-1) || 11058 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 170 || Dengue virus type 1 (strain Nauru/West Pac/1974) (DENV-1) || 11059 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 171 || Dengue virus type 2 (isolate Malaysia M2) (DENV-2) || 11062 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 172 || Dengue virus type 2 (isolate Malaysia M3) (DENV-2) || 11063 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 173 || Dengue virus type 2 (strain Jamaica/1409/1983) (DENV-2) || 11064 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 174 || Dengue virus type 2 (strain Thailand/NGS-C/1944) (DENV-2) || 11065 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 175 || Dengue virus type 2 (strain Puerto Rico/PR159-S1/1969) (DENV-2) || 11066 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 176 || Dengue virus type 2 (strain Tonga/EKB194/1974) (DENV-2) || 11067 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 177 || Dengue virus type 2 (strain Thailand/PUO-218/1980) (DENV-2) || 11068 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 178 || Japanese encephalitis virus (strain SA-14) (JEV) || 11073 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 179 || Japanese encephalitis virus (strain SA(v)) (JEV) || 11074 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 180 || Japanese encephalitis virus (strain Jaoars982) (JEV) || 11075 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 181 || Japanese encephalitis virus (strain Nakayama) (JEV) || 11076 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 182 || Kunjin virus (strain MRM61C) || 11078 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 183 || St. louis encephalitis virus (strain MS1-7) || 11081 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 184 || West Nile virus (WNV) || 11082 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 185 || Louping ill virus (LIV) || 11086 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 186 || Tick-borne encephalitis virus Far Eastern subtype (strain Sofjin) (SOFV) (Sofjin virus) || 11087 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 187 || Tick-borne encephalitis virus European subtype (strain Neudoerfl) (NEUV) (Neudoerfl virus) || 11088 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 188 || Yellow fever virus (strain 17D vaccine) (YFV) || 11090 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 189 || Hepatitis C virus genotype 1a (isolate 1) (HCV) || 11104 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 190 || Hepatitis C virus genotype 1b (isolate BK) (HCV) || 11105 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 191 || Hepatitis C virus (isolate EC10) (HCV) || 11106 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 192 || Hepatitis C virus (isolate EC1) (HCV) || 11107 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 193 || Hepatitis C virus (isolate HCT27) (HCV) || 11109 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 194 || Hepatitis C virus (isolate HCT18) (HCV) || 11110 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 195 || Hepatitis C virus (isolate HC-J2) (HCV) || 11111 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 196 || Hepatitis C virus (isolate HC-J5) (HCV) || 11112 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 197 || Hepatitis C virus genotype 2a (isolate HC-J6) (HCV) || 11113 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 198 || Hepatitis C virus (isolate HC-J7) (HCV) || 11114 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 199 || Hepatitis C virus genotype 2b (isolate HC-J8) (HCV) || 11115 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 200 || Hepatitis C virus genotype 1b (isolate Japanese) (HCV) || 11116 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 201 || Hepatitis C virus (isolate TH) (HCV) || 11117 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 202 || Human coronavirus 229E (HCoV-229E) || 11137 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 203 || Mumps virus (strain Edingburgh 2) (MuV) || 11162 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 204 || Mumps virus (strain Edingburgh 4) (MuV) || 11163 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 205 || Mumps virus (strain Edingburgh 6) (MuV) || 11164 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 206 || Mumps virus (strain Matsuyama) (MuV) || 11165 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 207 || Mumps virus (strain Belfast) (MuV) || 11166 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 208 || Mumps virus (strain Enders) (MuV) || 11167 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 209 || Mumps virus genotype A (strain Jeryl-Lynn) (MuV) || 11168 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 210 || Mumps virus (strain Kilham) (MuV) || 11169 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 211 || Mumps virus (strain Bristol 1) (MuV) || 11170 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 212 || Mumps virus genotype B (strain Miyahara vaccine) (MuV) || 11171 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 213 || Mumps virus (strain RW) (MuV) || 11172 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 214 || Mumps virus (strain SBL-1) (MuV) || 11173 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 215 || Mumps virus (strain Takahashi) (MuV) || 11174 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 216 || Mumps virus genotype B (strain Urabe vaccine AM9) (MuV) || 11175 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 217 || Parainfluenza virus 5 (strain W3) (PIV5) (Simian virus 5) || 11208 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 218 || Human parainfluenza 1 virus (strain C39) (HPIV-1) || 11210 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 219 || Human parainfluenza 1 virus (strain Washington/1957) (HPIV-1) || 11211 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 220 || Human parainfluenza 2 virus (strain Greer) (HPIV-2) || 11213 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 221 || Human parainfluenza 2 virus (strain Toshiba) (HPIV-2) || 11214 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 222 || Human parainfluenza 3 virus (strain Wash/47885/57) (HPIV-3) (Human parainfluenza 3 virus (strain NIH 47885)) || 11217 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 223 || Human parainfluenza 3 virus (strain Aus/124854/74) (HPIV-3) || 11218 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 224 || Human parainfluenza 3 virus (strain Tex/545/80) (HPIV-3) || 11219 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 225 || Human parainfluenza 3 virus (strain Tex/9305/82) (HPIV-3) || 11220 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 226 || Human parainfluenza 3 virus (strain Tex/12677/83) (HPIV-3) || 11221 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 227 || Human parainfluenza 3 virus (strain Wash/641/79) (HPIV-3) || 11222 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 228 || Human parainfluenza 3 virus (strain Wash/1511/73) (HPIV-3) || 11223 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 229 || Human parainfluenza 4a virus (strain Toshiba) (HPIV-4a) || 11225 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 230 || Human parainfluenza 4b virus (strain 68-333) (HPIV-4b) || 11227 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 231 || Measles virus (strain Edmonston) (MeV) (Subacute sclerose panencephalitis virus) || 11235 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 232 || Measles virus (strain Halle) (MeV) (Subacute sclerose panencephalitis virus) || 11236 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 233 || Measles virus (strain IP-3-Ca) (MeV) (Subacute sclerose panencephalitis virus) || 11237 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 234 || Measles virus (strain Hu2) (MeV) (Subacute sclerose panencephalitis virus) || 11238 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 235 || Measles virus (strain Yamagata-1) (MeV) (Subacute sclerose panencephalitis virus) || 11239 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 236 || Human respiratory syncytial virus || 11250 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 237 || Human respiratory syncytial virus B (strain 18537) || 11251 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 238 || Human respiratory syncytial virus A (strain rsb642) || 11252 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 239 || Human respiratory syncytial virus A (strain rsb1734) || 11253 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 240 || Human respiratory syncytial virus A (strain rsb5857) || 11254 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 241 || Human respiratory syncytial virus A (strain rsb6190) || 11255 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 242 || Human respiratory syncytial virus A (strain rsb6256) || 11256 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 243 || Human respiratory syncytial virus A (strain rsb6614) || 11257 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 244 || Human respiratory syncytial virus B (strain 8/60) || 11258 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 245 || Human respiratory syncytial virus A (strain A2) || 11259 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 246 || Human respiratory syncytial virus A (strain RSS-2) || 11261 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 247 || Chandipura virus (strain I653514) (CHPV) || 11273 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 248 || Vesicular stomatitis Indiana virus (strain Glasgow) (VSIV) || 11278 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 249 || Vesicular stomatitis Indiana virus (strain Mudd-Summers) (VSIV) || 11279 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 250 || Vesicular stomatitis New Jersey virus (strain Hazelhurst subtype Hazelhurst) (VSNJV) || 11281 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 251 || Vesicular stomatitis New Jersey virus (strain Missouri subtype Hazelhurst) (VSNJV) || 11282 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 252 || Vesicular stomatitis New Jersey virus (strain Ogden subtype Concan) (VSNJV) || 11283 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 253 || Vesicular stomatitis Indiana virus (strain Orsay) (VSIV) || 11284 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 254 || Vesicular stomatitis Indiana virus (strain San Juan) (VSIV) || 11285 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 255 || Rabies virus (strain PM1503/AVO1) (RABV) || 11293 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 256 || Rabies virus (strain CVS-11) (RABV) || 11294 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 257 || Rabies virus (strain ERA) (RABV) || 11295 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 258 || Rabies virus (strain HEP-Flury) (RABV) || 11296 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 259 || Rabies virus (strain PM) (RABV) || 11297 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 260 || Rabies virus (strain Nishigahara RCEH) (RABV) || 11298 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 261 || Rabies virus (strain SAD B19) (RABV) || 11300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 262 || Dhori virus (strain Indian/1313/61) (Dho) || 11319 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 263 || Influenza A virus (strain A/Chicken/Japan/1924 H7N7) || 11340 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 264 || Influenza A virus (strain A/Dunedin/4/1973 H3N2) || 11375 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 265 || Influenza A virus (strain A/Chicken/Weybridge H7N7) (Influenza A virus (strain A/FPV/Weybridge H7N7)) || 11384 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 266 || Influenza A virus (strain A/Equine/Cor/16/1974 H7N7) || 11397 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 267 || Influenza A virus (strain A/Equine/Tokyo/1971 H3N2) || 11418 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 268 || Influenza A virus (strain A/Victoria/5/1968 H2N2) || 11482 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 269 || Influenza A virus (strain A/Swine/Germany/2/1981 H1N1) || 11495 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 270 || Influenza B virus || 11520 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 271 || Influenza B virus (strain B/Ann Arbor/1/1986) || 11521 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 272 || Influenza B virus (strain B/Ann Arbor/1/1966 [cold-adapted]) || 11522 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 273 || Influenza B virus (strain B/Ann Arbor/1/1966 [wild-type]) || 11523 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 274 || Influenza B virus (strain B/BA/1978) || 11524 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 275 || Influenza B virus (strain B/Beijing/1/1987) || 11525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 276 || Influenza B virus (strain B/England/222/1982) || 11527 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 277 || Influenza B virus (strain B/Fukuoka/80/1981) || 11528 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 278 || Influenza B virus (strain B/GA/1986) || 11529 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 279 || Influenza B virus (strain B/GL/1954) || 11530 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 280 || Influenza B virus (strain B/HT/1984) || 11532 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 281 || Influenza B virus (strain B/ID/1986) || 11534 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 282 || Influenza B virus (strain B/Leningrad/179/1986) || 11536 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 283 || Influenza B virus (strain B/Maryland/1959) || 11537 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 284 || Influenza B virus (strain B/Memphis/6/1986) || 11538 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 285 || Influenza B virus (strain B/Nagasaki/1/1987) || 11540 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 286 || Influenza B virus (strain B/Oregon/5/1980) || 11541 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 287 || Influenza B virus (strain B/PA/1979) || 11542 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 288 || Influenza B virus (strain B/RU/1969) || 11543 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 289 || Influenza B virus (strain B/Singapore/1964) || 11545 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 290 || Influenza B virus (strain B/Victoria/3/1985) || 11547 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 291 || Influenza B virus (strain B/Victoria/1987) || 11548 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 292 || Influenza B virus (strain B/Yamagata/1/1973) || 11550 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 293 || Influenza C virus (strain C/Ann Arbor/1/1950) || 11553 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 294 || Influenza C virus (strain C/Berlin/1/1985) || 11554 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 295 || Influenza C virus (strain C/England/892/1983) || 11556 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 296 || Influenza C virus (strain C/Great lakes/1167/1954) || 11557 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 297 || Influenza C virus (strain C/JJ/1950) || 11560 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 298 || Influenza C virus (strain C/Pig/Beijing/10/1981) || 11564 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 299 || Influenza C virus (strain C/Pig/Beijing/439/1982) || 11566 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 300 || Influenza C virus (strain C/Taylor/1233/1947) || 11567 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 301 || Influenza C virus (strain C/Yamagata/10/1981) || 11568 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 302 || Bunyavirus La Crosse || 11577 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 303 || Bunyavirus La Crosse (isolate Aedes triseriatus/United States/L74/1974) || 11578 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 304 || Bunyavirus snowshoe hare || 11580 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 305 || Hantaan virus (strain Hojo) (Hojo virus) (Korean hemorrhagic fever virus) || 11583 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 306 || Punta toro phlebovirus || 11587 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 307 || Rift valley fever virus (RVFV) || 11588 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 308 || Rift valley fever virus (strain ZH-548 M12) (RVFV) || 11589 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 309 || Toscana virus (Tos) || 11590 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 310 || Uukuniemi virus (UUKV) || 11591 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 311 || Crimean-Congo hemorrhagic fever virus (isolate C68031) (CCHFV) || 11594 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 312 || Hantaan virus (strain Lee) (Lee virus) (Korean hemorrhagic fever virus) || 11601 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 313 || Hantaan virus (strain 76-118) (Korean hemorrhagic fever virus) || 11602 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 314 || Seoul virus (strain SR-11) (Sapporo rat virus) || 11610 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 315 || Lassa virus (strain GA391) (LASV) || 11621 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 316 || Lassa virus (strain Mouse/Sierra Leone/Josiah/1976) (LASV) || 11622 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 317 || Lymphocytic choriomeningitis virus (strain Armstrong) (LCMV) || 11624 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 318 || Lymphocytic choriomeningitis virus (strain Pasteur) (LCMV) || 11625 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 319 || Lymphocytic choriomeningitis virus (strain Traub) (LCMV) || 11626 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 320 || Lymphocytic choriomeningitis virus (strain WE) (LCMV) || 11627 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 321 || Simian foamy virus type 3 (strain LK3) (SFVagm) (SFV-3) || 11644 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 322 || Human immunodeficiency virus type 1 (HIV-1) || 11676 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 323 || Human immunodeficiency virus type 1 group M subtype B (isolate BH10) (HIV-1) || 11678 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 324 || Human immunodeficiency virus type 1 group M subtype B (isolate PCV12) (HIV-1) || 11679 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 325 || Human immunodeficiency virus type 1 group M subtype U (isolate Z3) (HIV-1) || 11680 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 326 || Human immunodeficiency virus type 1 group M subtype D (isolate Z84) (HIV-1) || 11681 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 327 || Human immunodeficiency virus type 1 group M subtype B (isolate BH5) (HIV-1) || 11682 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 328 || Human immunodeficiency virus type 1 group M subtype D (isolate Z2/CDC-Z34) (HIV-1) || 11683 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 329 || Human immunodeficiency virus type 1 group M subtype B (isolate BH8) (HIV-1) || 11684 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 330 || Human immunodeficiency virus type 1 group M subtype B (isolate ARV2/SF2) (HIV-1) || 11685 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 331 || Human immunodeficiency virus type 1 group M subtype B (isolate BRU/LAI) (HIV-1) || 11686 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 332 || Human immunodeficiency virus type 1 group M subtype B (isolate CDC-451) (HIV-1) || 11687 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 333 || Human immunodeficiency virus type 1 group M subtype B (isolate JRCSF) (HIV-1) || 11688 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 334 || Human immunodeficiency virus type 1 group M subtype D (isolate ELI) (HIV-1) || 11689 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 335 || Human immunodeficiency virus type 1 group M subtype B (isolate SF33) (HIV-1) || 11690 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 336 || Human immunodeficiency virus type 1 group M subtype B (isolate SF162) (HIV-1) || 11691 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 337 || Human immunodeficiency virus type 1 group M subtype A (isolate Z321) (HIV-1) || 11692 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 338 || Human immunodeficiency virus type 1 group M subtype B (isolate BRVA) (HIV-1) || 11693 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 339 || Human immunodeficiency virus type 1 group M subtype B (isolate JH32) (HIV-1) || 11694 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 340 || Human immunodeficiency virus type 1 group M subtype D (isolate NDK) (HIV-1) || 11695 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 341 || Human immunodeficiency virus type 1 group M subtype B (isolate MN) (HIV-1) || 11696 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 342 || Human immunodeficiency virus type 1 group M subtype A (isolate MAL) (HIV-1) || 11697 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 343 || Human immunodeficiency virus type 1 group M subtype B (isolate NY5) (HIV-1) || 11698 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 344 || Human immunodeficiency virus type 1 group M subtype B (isolate OYI) (HIV-1) || 11699 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 345 || Human immunodeficiency virus type 1 group M subtype B (isolate RF/HAT3) (HIV-1) || 11701 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 346 || Human immunodeficiency virus type 1 group M subtype B (isolate SC) (HIV-1) || 11702 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 347 || Human immunodeficiency virus type 1 group M subtype A (isolate U455) (HIV-1) || 11703 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 348 || Human immunodeficiency virus type 1 group M subtype B (isolate MFA) (HIV-1) || 11704 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 349 || Human immunodeficiency virus type 1 group M subtype B (isolate WMJ22) (HIV-1) || 11705 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 350 || Human immunodeficiency virus type 1 group M subtype B (isolate HXB2) (HIV-1) || 11706 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 351 || Human immunodeficiency virus type 1 group M subtype B (isolate HXB3) (HIV-1) || 11707 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 352 || Human immunodeficiency virus type 1 group M subtype D (isolate Z6) (HIV-1) || 11708 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 353 || Human immunodeficiency virus 2 || 11709 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 354 || Human immunodeficiency virus type 2 subtype A (isolate D194) (HIV-2) || 11713 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 355 || Human immunodeficiency virus type 2 subtype A (isolate BEN) (HIV-2) || 11714 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 356 || Human immunodeficiency virus type 2 subtype A (isolate CAM2) (HIV-2) || 11715 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 357 || Human immunodeficiency virus type 2 subtype B (isolate D205) (HIV-2) || 11716 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 358 || Human immunodeficiency virus type 2 subtype A (isolate Ghana-1) (HIV-2) || 11717 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 359 || Human immunodeficiency virus type 2 subtype A (isolate SBLISY) (HIV-2) || 11718 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 360 || Human immunodeficiency virus type 2 subtype A (isolate NIH-Z) (HIV-2) || 11719 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 361 || Human immunodeficiency virus type 2 subtype A (isolate ROD) (HIV-2) || 11720 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 362 || Human immunodeficiency virus type 2 subtype A (isolate ST) (HIV-2) || 11721 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 363 || Human T-cell leukemia virus 2 (HTLV-2) || 11909 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 364 || Human T-cell leukemia virus 1 (strain Japan ATK-1 subtype A) (HTLV-1) || 11926 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 365 || Human T-cell leukemia virus 1 (isolate Caribbea HS-35 subtype A) (HTLV-1) || 11927 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 366 || Human T-cell leukemia virus 1 (strain Japan MT-2 subtype A) (HTLV-1) || 11928 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 367 || Human spumaretrovirus (SFVcpz(hu)) (Human foamy virus) || 11963 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 368 || Echo 9 virus (EV-9) (Coxsackievirus A23) || 12060 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 369 || Coxsackievirus A9 (strain Griggs) || 12068 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 370 || Coxsackievirus A21 (strain Coe) || 12070 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 371 || Poliovirus type 1 (strain Mahoney) || 12081 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 372 || Poliovirus type 1 (strain Sabin) || 12082 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 373 || Poliovirus type 2 (strain Lansing) || 12084 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 374 || Poliovirus type 2 (strain W-2) || 12085 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 375 || Poliovirus type 3 (strain 23127) || 12087 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 376 || Poliovirus type 3 (strains P3/Leon/37 and P3/Leon 12A[1]B) || 12088 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 377 || Human hepatitis A virus genotype IA (isolate LCDC-1) (HHAV) (Human hepatitis A virus (isolate Human/China/LCDC-1/1984)) || 12093 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 378 || Human hepatitis A virus genotype IA (isolate CR326) (HHAV) (Human hepatitis A virus (isolate Human/Costa Rica/CR326/1960)) || 12097 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 379 || Human hepatitis A virus genotype IB (isolate HM175) (HHAV) (Human hepatitis A virus (isolate Human/Australia/HM175/1976)) || 12098 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 380 || Human hepatitis A virus genotype IA (isolate LA) (HHAV) (Human hepatitis A virus (isolate Human/Northern California/LA/1974)) || 12099 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 381 || Human hepatitis A virus genotype IB (isolate MBB) (HHAV) (Human hepatitis A virus (isolate Human/Northern Africa/MBB/1978)) || 12100 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 382 || Encephalomyocarditis virus || 12104 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 383 || Encephalomyocarditis virus (strain emc-b nondiabetogenic) || 12105 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 384 || Encephalomyocarditis virus (strain emc-d diabetogenic) || 12106 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 385 || Mengo encephalomyocarditis virus || 12107 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 386 || Human rhinovirus 2 (HRV-2) || 12130 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 387 || Human rhinovirus 14 (HRV-14) || 12131 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 388 || Human rhinovirus 89 (HRV-89) || 12132 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 389 || Human rhinovirus 1A (HRV-1A) || 12134 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 390 || Human rhinovirus 23 (HRV-23) || 12135 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 391 || Bhanja virus (BHAV) || 1213620 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 392 || Heartland virus (HTRV) || 1216928 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 393 || Human parechovirus 5 (strain CT86-6760) (HPeV-5) (Echovirus 23) || 122961 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 394 || Human parechovirus 2 (strain Williamson) (HPeV-2) (Echovirus 23) || 122962 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 395 || Non-A non-B hepatitis virus || 12440 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 396 || Human astrovirus-1 (HAstV-1) || 12456 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 397 || Hepatitis delta virus (HDV) || 12475 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 398 || Omsk hemorrhagic fever virus (OHFV) || 12542 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 399 || Seoul virus (strain 80-39) || 12557 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 400 || Middle East respiratory syndrome-related coronavirus (isolate United Kingdom/H123990006/2012) (MERS-CoV) (Betacoronavirus England 1) || 1263720 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 401 || Vaccinia virus (strain Ankara) (VACV) || 126794 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 402 || Human astrovirus-2 (HAstV-2) || 12701 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 403 || Influenza C virus (strain C/Nara/2/1985) || 127957 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 404 || Influenza C virus (strain C/Yamagata/4/1988) || 127958 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 405 || Zaire ebolavirus (strain Gabon-94) (ZEBOV) (Zaire Ebola virus) || 128947 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 406 || Sudan ebolavirus (strain Boniface-76) (SEBOV) (Sudan Ebola virus) || 128948 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 407 || Sudan ebolavirus (strain Maleo-79) (SEBOV) (Sudan Ebola virus) || 128949 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 408 || Zaire ebolavirus (strain Kikwit-95) (ZEBOV) (Zaire Ebola virus) || 128951 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 409 || Zaire ebolavirus (strain Mayinga-76) (ZEBOV) (Zaire Ebola virus) || 128952 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 410 || Tai Forest ebolavirus (strain Cote d&#039;Ivoire-94) (TAFV) (Cote d&#039;Ivoire Ebola virus) || 128999 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 411 || Zaire ebolavirus (strain Eckron-76) (ZEBOV) (Zaire Ebola virus) || 129000 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 412 || Reston ebolavirus (strain Philippines-96) (REBOV) (Reston Ebola virus) || 129003 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 413 || Reston ebolavirus (strain Siena/Philippine-92) (REBOV) (Reston Ebola virus) || 129004 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 414 || Human papillomavirus 82 || 129724 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 415 || Influenza A virus (strain A/Hong Kong/156/1997 H5N1 genotype Gs/Gd) || 130763 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 416 || Yaba-like disease virus (YLDV) || 132475 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 417 || Measles virus (strain Edmonston-Moraten vaccine) (MeV) (Subacute sclerose panencephalitis virus) || 132484 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 418 || Measles virus (strain Edmonston-Schwarz vaccine) (MeV) (Subacute sclerose panencephalitis virus) || 132487 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 419 || Influenza A virus (strain A/X-31 H3N2) || 132504 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 420 || Puumala virus (strain Bank vole/Russia/CG1820/1984) || 1337063 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 421 || Human rhinovirus C (strain C15) (HRV-C15) || 1418033 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 422 || Human picobirnavirus || 145856 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 423 || Human bocavirus 4 (HBoV4) (Human bocavirus type 4) || 1511883 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 424 || Cosavirus A (isolate Human/Pakistan/0553/-) (HCoSV-A) || 1554483 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 425 || Norovirus (isolate Human/NoV/United States/MD145-12/1987/GII) (Hu/NLV/GII/MD145-12/1987/US) || 158465 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 426 || Wesselsbron virus (WSLV) || 164416 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 427 || Influenza C virus (strain C/Miyagi/3/1993) || 165239 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 428 || Influenza C virus (strain C/Miyagi/4/1993) || 165240 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 429 || Influenza C virus (strain C/Kanagawa/1/1976) || 165246 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 430 || Influenza C virus (strain C/Miyagi/1977) || 165247 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 431 || Influenza C virus (strain C/Miyagi/1/1993) || 165248 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 432 || Influenza C virus (strain C/Miyagi/2/1993) || 165249 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 433 || Human papillomavirus type 54 || 1671798 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 434 || Hepatitis E virus (HEV) || 1678143 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 435 || Alkhumra hemorrhagic fever virus (ALKV) (Alkhurma hemorrhagic fever virus) || 172148 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 436 || Echovirus 5 (strain Noyce) || 176283 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 437 || Echovirus 30 (strain Bastianni) || 176284 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 438 || Influenza A virus (strain A/Duck/Hong Kong/2986.1/2000 H5N1 genotype C) || 176674 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 439 || Influenza A virus (strain A/Swine/New Jersey/11/1976 H1N1) || 186460 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 440 || BK polyomavirus (BKPyV) (Human polyomavirus 1) || 1891762 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 441 || Influenza A virus (strain A/Chicken/Hong Kong/YU562/2001 H5N1 genotype B) || 196426 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 442 || Influenza A virus (strain A/Silky Chicken/Hong Kong/SF189/2001 H5N1 genotype A) || 196430 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 443 || Influenza A virus (strain A/Chicken/Hong Kong/715.5/2001 H5N1 genotype E) || 196434 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 444 || West Nile virus (strain NY-99) (WNV) (West Nile virus (strain NY-1999)) || 1968826 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 445 || Andes orthohantavirus (ANDV) (Andes virus) || 1980456 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 446 || Influenza C virus (strain C/Miyagi/1/1990) || 199344 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 447 || Influenza C virus (strain C/Miyagi/5/1991) || 199345 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 448 || Influenza C virus (strain C/Miyagi/7/1991) || 199346 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 449 || Influenza C virus (strain C/Miyagi/5/1993) || 199347 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 450 || Influenza C virus (strain C/Sapporo/1971) || 199356 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 451 || Influenza C virus (strain C/Aomori/1974) || 199357 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 452 || Influenza C virus (strain C/Miyagi/2/1992) || 199360 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 453 || Influenza C virus (strain C/Yamagata/1/1988) || 203125 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 454 || Influenza C virus (strain C/California/1978) || 203224 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 455 || Influenza C virus (strain C/Hyogo/1/1983) || 203225 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 456 || Influenza C virus (strain C/Miyagi/9/1991) || 203228 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 457 || Influenza C virus (strain C/Mississippi/1980) || 203229 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 458 || Influenza C virus (strain C/Pig/Beijing/115/1981) || 203231 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 459 || Influenza C virus (strain C/Nara/1982) || 203232 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 460 || Influenza C virus (strain C/Kyoto/41/1982) || 203233 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 461 || Zika virus (isolate ZIKV/Human/French Polynesia/10087PF/2013) (ZIKV) || 2043570 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 462 || Influenza C virus (strain C/Hiroshima/246/2000) || 210752 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 463 || Influenza C virus (strain C/Hiroshima/247/2000) || 210753 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 464 || Influenza C virus (strain C/Hiroshima/248/2000) || 210754 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 465 || Influenza C virus (strain C/Hiroshima/249/2000) || 210755 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 466 || Influenza C virus (strain C/Hiroshima/250/2000) || 210756 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 467 || Influenza C virus (strain C/Hiroshima/251/2000) || 210757 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 468 || Influenza C virus (strain C/Hiroshima/290/1999) || 210759 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 469 || Influenza A virus (strain A/Puerto Rico/8/1934 H1N1) || 211044 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 470 || Influenza A virus (strain A/Texas/1/1968 H2N2) || 216887 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 471 || Junin mammarenavirus (JUNV) (Junn mammarenavirus) || 2169991 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 472 || Influenza C virus (strain C/Yamagata/1964) || 217166 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 473 || Influenza C virus (strain C/Aichi/1/1981) || 217167 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 474 || Influenza C virus (strain C/Saitama/1/2000) || 217719 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 475 || Influenza C virus (strain C/Saitama/2/2000) || 217720 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 476 || Influenza C virus (strain C/Saitama/3/2000) || 217721 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 477 || Influenza C virus (strain C/Hiroshima/252/1999) || 217722 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 478 || Influenza C virus (strain C/New Jersey/1976) || 217723 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 479 || Influenza C virus (strain C/Kansas/1/1979) || 217724 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 480 || Influenza C virus (strain C/Greece/1979) || 217725 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 481 || Influenza A virus (strain A/Equine/Sao Paulo/1/1976 H7N7) || 217828 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 482 || Influenza A virus (strain A/Equine/Switzerland/137/1972 H7N7) || 217829 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 483 || Influenza A virus (strain A/Equine/New Market/1/1977 H7N7) || 217831 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 484 || Influenza A virus (strain A/Equine/Detroit/1/1964 H7N7) || 217834 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 485 || Influenza A virus (strain A/Equine/Cambridge/1/1973 H7N7) || 217835 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 486 || Influenza A virus (strain A/Equine/C.Detroit/1/1964 H7N7) || 217836 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 487 || Influenza A virus (strain A/Equine/Cambridge/1/1963 H7N7) || 217837 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 488 || Influenza A virus (strain A/Qu/7/1970 H3N2) || 221016 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 489 || Influenza A virus (strain A/Chicken/Hong Kong/FY150/2001 H5N1 genotype D) || 222142 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 490 || Severe acute respiratory syndrome coronavirus (isolate Canada/Tor2/2003) (SARS-CoV) || 227984 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 491 || Influenza B virus (strain B/Bonn/1943) || 230285 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 492 || Influenza B virus (strain B/USSR/100/1983) || 230286 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 493 || Coxsackievirus A16 (strain Tainan/5079/98) || 231417 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 494 || Coxsackievirus B2 (strain Ohio-1) || 231473 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 495 || Coxsackievirus B6 (strain Schmitt) || 231474 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 496 || Zika virus (isolate ZIKV/Human/Cambodia/FSS13025/2010) (ZIKV) || 2316109 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 497 || Sapporo virus (isolate GII/Human/Thailand/Mc10/2000) (Hu/SaV/Mc10/2000/Thailand) || 234601 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 498 || Japanese encephalitis virus (strain M28) (JEV) || 2555554 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 499 || Human parainfluenza 2 virus (HPIV-2) || 2560525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 500 || Human papillomavirus type 94 || 260717 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 501 || Hepatitis delta virus genotype I (isolate US-2) (HDV) || 261991 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 502 || Hepatitis delta virus genotype II (isolate TW2476) (HDV) || 261992 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 503 || Hepatitis delta virus genotype III (isolate VnzD8624) (HDV) || 261993 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 504 || Hepatitis delta virus genotype III (isolate VnzD8349) (HDV) || 261994 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 505 || Hepatitis delta virus genotype III (isolate VnzD8375) (HDV) || 261995 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 506 || Hepatitis delta virus genotype III (isolate Peru-1) (HDV) || 261996 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 507 || Human herpesvirus 7 (strain RK) (HHV-7) (Human T lymphotropic virus) || 262398 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 508 || Cowpox virus (strain GRI-90 / Grishak) (CPV) || 265871 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 509 || Cowpox virus (strain Brighton Red) (CPV) || 265872 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 510 || Hepatitis delta virus genotype I (isolate HDV/Human/Central African Republic/FH27/1985) (HDV) || 2691025 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 511 || Severe acute respiratory syndrome coronavirus 2 (2019-nCoV) (SARS-CoV-2) || 2697049 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 512 || Human rhinovirus 1B (HRV-1B) || 2777147 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 513 || Human coronavirus NL63 (HCoV-NL63) || 277944 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 514 || Influenza A virus (strain A/Hong Kong/212/2003 H5N1 genotype Z+) || 279794 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 515 || Influenza A virus (strain A/Chicken/Hong Kong/96.1/2002 H5N1 genotype Y) || 279803 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 516 || Influenza C virus (strain C/Aichi/1/1999) || 282188 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 517 || Human adenovirus D serotype 15 (HAdV-15) (Human adenovirus 15) || 28276 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 518 || Human adenovirus E serotype 4 (HAdV-4) (Human adenovirus 4) || 28280 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 519 || Human adenovirus A serotype 12 (HAdV-12) (Human adenovirus 12) || 28282 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 520 || Human adenovirus F serotype 40 (HAdV-40) (Human adenovirus 40) || 28284 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 521 || Human adenovirus C serotype 5 (HAdV-5) (Human adenovirus 5) || 28285 ||  || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 522 || Sandfly fever sicilian virus (SFS) || 28292 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 523 || Human papillomavirus type 63 || 28311 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 524 || Human papillomavirus 65 || 28312 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 525 || Human T-cell leukemia virus 3 (HTLV-3) (Human T-lymphotropic virus 3) || 28332 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 526 || Influenza A virus (strain A/Chicken/Hong Kong/31.2/2002 H5N1 genotype X1) || 284169 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 527 || Influenza A virus (strain A/Chicken/Hong Kong/37.4/2002 H5N1 genotype X2) || 284172 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 528 || Influenza A virus (strain A/Chicken/Hong Kong/YU22/2002 H5N1 genotype Z) || 284177 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 529 || Influenza A virus (strain A/Chicken/Shantou/4231/2003 H5N1 genotype V) || 284184 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 530 || Influenza A virus (strain A/Guinea fowl/Hong Kong/38/2002 H5N1 genotype X0) || 284208 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 531 || Influenza A virus (strain A/Silky Chicken/Hong Kong/YU100/2002 H5N1 genotype X3) || 284214 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 532 || Influenza A virus (strain A/Teal/China/2978.1/2002 H5N1 genotype W) || 284215 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 533 || Influenza A virus (strain A/Vietnam/1203/2004 H5N1) || 284218 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 534 || Encephalomyocarditis virus (strain Rueckert) (EMCV) || 2870365 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 535 || Rotavirus B (isolate RVB/Rat/United States/IDIR/1984/G1P[X]) (RV-B) (Rotavirus B (isolate infectious diarrhea of infant rats)) || 28877 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 536 || Isfahan virus (ISFV) || 290008 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 537 || Human coronavirus HKU1 (HCoV-HKU1) || 290028 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 538 || Sapovirus (strain GII/Human/Japan/Sakai C12/2001) (SaV) (Sapporo virus) || 290314 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 539 || Human immunodeficiency virus type 1 group M subtype B (isolate Lai) (HIV-1) || 290579 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 540 || Sapporo virus (isolate GI/Human/Germany/pJG-Sap01) (Hu/Dresden/pJG-Sap01/DE) || 291175 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 541 || Influenza B virus (strain B/Paris/329/1990) || 291795 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 542 || Influenza B virus (strain B/Hong Kong/9/1989) || 291796 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 543 || Influenza B virus (strain B/Texas/1/1991) || 291799 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 544 || Influenza B virus (strain B/Texas/4/1990) || 291800 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 545 || Influenza B virus (strain B/New York/3/1990) || 291801 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 546 || Influenza B virus (strain B/Guangdong/55/1989) || 291802 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 547 || Influenza B virus (strain B/Victoria/103/1989) || 291803 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 548 || Influenza B virus (strain B/Victoria/19/1989) || 291804 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 549 || Influenza B virus (strain B/South Dakota/5/1989) || 291805 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 550 || Influenza B virus (strain B/India/3/1989) || 291806 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 551 || Human cytomegalovirus (strain Merlin) (HHV-5) (Human herpesvirus 5) || 295027 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 552 || Mumps virus genotype N (strain L-Zagreb vaccine) (MuV) || 301186 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 553 || Vaccinia virus (strain Tashkent) (VACV) || 301352 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 554 || Murray valley encephalitis virus (strain MVE-1-51) (MVEV) || 301478 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 555 || Nipah virus || 3052225 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 556 || Sabia mammarenavirus (isolate Human/Brasil/SPH114202/1990) (SABV) (Sabi mammarenavirus) || 3052299 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 557 || Pichinde mammarenavirus (PICV) (Pichind mammarenavirus) || 3052300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 558 || Chapare mammarenavirus (isolate Human/Bolivia/810419/2003) || 3052302 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 559 || Guanarito mammarenavirus (isolate Human/Venezuela/NH-95551/1990) (GTOV) || 3052307 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 560 || Mammarenavirus lassaense || 3052310 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 561 || Machupo virus (MACV) || 3052317 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 562 || Dobrava-Belgrade orthohantavirus (DOBV) (Dobrava virus) || 3052477 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 563 || Black Creek Canal orthohantavirus (BCCV) (Black Creek Canal virus) || 3052490 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 564 || Sin Nombre orthohantavirus (SNV) (Sin Nombre virus) || 3052499 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 565 || Tula orthohantavirus (TULV) (Tula virus) || 3052503 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 566 || Dugbe virus || 3052514 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 567 || Human adenovirus D serotype 15/H9 (HAdV-15/H9) (Human adenovirus 15/H9) || 308444 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 568 || Human cytomegalovirus (strain Toledo) (HHV-5) (Human herpesvirus 5) || 311339 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 569 || Hepatitis B virus genotype C subtype adr (isolate Korea/Kim/1989) (HBV-C) || 31512 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 570 || Hepatitis B virus genotype C subtype adr (isolate China/NC-1/1988) (HBV-C) || 31513 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 571 || Hepatitis B virus genotype A1 subtype adw (isolate Philippines/pFDW294/1988) (HBV-A) || 31514 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 572 || Hepatitis B virus genotype G subtype adw2 (isolate United States/sf/1990) (HBV-G) || 31515 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 573 || Epstein-Barr virus (strain Cao) (HHV-4) (Human herpesvirus 4) || 31525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 574 || Vaccinia virus (strain L-IVP) (VACV) || 31531 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 575 || Human adenovirus B serotype 16 (HAdV-16) (Human adenovirus 16) || 31544 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 576 || Human adenovirus D serotype 8 (HAdV-8) (Human adenovirus 8) || 31545 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 577 || Human papillomavirus 20 || 31547 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 578 || Human papillomavirus 21 || 31548 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 579 || Rotavirus C (isolate RVC/Human/Japan/88-220/1988) (RV-C) || 31565 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 580 || Rotavirus C (isolate RVC/Human/Brazil/Belem/1992) (RV-C) || 31566 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 581 || Rotavirus C (isolate RVC/Human/United Kingdom/Bristol/1989) (RV-C) || 31567 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 582 || Rotavirus C (isolate RVC/Human/United Kingdom/Preston/1992) (RV-C) || 31568 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 583 || Rotavirus A (strain RVA/Human/Australia/RV-5/1981/G2P1B[4]) (RV-A) (Rotavirus A (strain RV5)) || 31569 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 584 || Rotavirus A (strain RVA/Human/Australia/RV-4/1977/G1P1A[8]) (RV-A) (Rotavirus A (strain RV4)) || 31570 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 585 || Rotavirus A (strain RVA/Human/United Kingdom/A28/1987/G10P[X]) (RV-A) || 31571 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 586 || Rotavirus A (isolate RVA/Human/Japan/IGV-80-3/XXXX/GXP[X]) (RV-A) || 31574 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 587 || Human parainfluenza 1 virus (strain C35) (HPIV-1) || 31605 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 588 || Human parainfluenza 1 virus (strain CI-14/83) (HPIV-1) || 31606 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 589 || Human parainfluenza 1 virus (strain CI-5/73) (HPIV-1) || 31607 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 590 || Parainfluenza virus 5 (isolate Canine/CPI+) (PIV5) (Simian virus 5) || 31608 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 591 || Parainfluenza virus 5 (isolate Canine/CPI-) (PIV5) (Simian virus 5) || 31609 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 592 || Parainfluenza virus 5 (isolate Human/LN) (PIV5) (Simian virus 5) || 31610 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 593 || Rabies virus (isolate Human/Algeria/1991) (RABV) || 31613 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 594 || Hantaan virus (strain B-1) (Korean hemorrhagic fever virus) || 31617 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 595 || Seoul virus (strain R22) || 31620 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 596 || Human coronavirus OC43 (HCoV-OC43) || 31631 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 597 || Dengue virus type 2 (strain Thailand/16681/1984) (DENV-2) || 31634 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 598 || Dengue virus type 2 (strain 16681-PDK53) (DENV-2) || 31635 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 599 || Dengue virus type 2 (strain China/D2-04) (DENV-2) || 31636 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 600 || Dengue virus type 2 (strain Thailand/TH-36/1958) (DENV-2) || 31637 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 601 || Langat virus (strain TP21) || 31638 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 602 || Langat virus (strain Yelantsev) || 31639 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 603 || Louping ill virus (strain SB 526) (Li) || 31640 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 604 || Yellow fever virus (isolate Peru/1899/1981) (YFV) || 31641 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 605 || Hepatitis C virus genotype 1b (isolate HC-JT) (HCV) || 31642 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 606 || Hepatitis C virus (isolate HCV-476) (HCV) || 31643 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 607 || Hepatitis C virus (isolate HCV-KF) (HCV) || 31644 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 608 || Hepatitis C virus genotype 1b (isolate Taiwan) (HCV) || 31645 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 609 || Influenza A virus (strain A/Turkey/Bethlehem-Glilit/1492-B/1982 H1N1) || 31663 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 610 || Human immunodeficiency virus type 1 group M subtype B (isolate WMJ1) (HIV-1) || 31678 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 611 || Human immunodeficiency virus type 2 subtype A (isolate ST/24.1C#2) (HIV-2) || 31681 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 612 || Sindbis virus subtype Ockelbo (strain Edsbyn 82-5) (OCKV) (Ockelbo virus) || 31699 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 613 || Mengo encephalomyocarditis virus (strain 37A) || 31702 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 614 || Echovirus 11 (strain Gregory) || 31705 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 615 || Human hepatitis A virus genotype IIIA (isolate GA76) (HHAV) (Human hepatitis A virus (isolate Human/Georgia/GA76/1976)) || 31706 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 616 || Human rhinovirus 16 (HRV-16) || 31708 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 617 || Hepatitis delta virus genotype I (isolate D380) (HDV) || 31762 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 618 || Hepatitis delta virus genotype I (isolate Lebanon-1) (HDV) || 31763 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 619 || Hepatitis delta virus genotype I (isolate Woodchuck) (HDV) || 31764 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 620 || Hepatitis E virus (isolate Rhesus/HT-4) (HEV) || 31766 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 621 || Hepatitis E virus genotype 1 (isolate Human/Burma) (HEV-1) || 31767 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 622 || Hepatitis E virus genotype 2 (isolate Human/Mexico) (HEV-2) || 31768 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 623 || Hepatitis E virus genotype 1 (isolate Human/Myanmar/HEVNE8L) (HEV-1) || 31769 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 624 || Human enterovirus 70 (strain J670/71) (EV70) (EV-70) || 31915 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 625 || Human herpesvirus 6B (HHV-6 variant B) (Human B lymphotropic virus) || 32604 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 626 || Human immunodeficiency virus type 1 group O (isolate ANT70) (HIV-1) || 327105 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 627 || Hepatitis C virus (isolate Glasgow) (HCV) || 329389 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 628 || Hepatitis C virus genotype 1b (isolate Con1) (HCV) || 333284 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 629 || Human papillomavirus 27 || 333752 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 630 || Human papillomavirus 57 || 333753 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 631 || Human papillomavirus type 10 || 333759 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 632 || Human papillomavirus type 16 || 333760 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 633 || Human papillomavirus type 18 || 333761 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 634 || Human papillomavirus type 26 || 333762 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 635 || Human papillomavirus type 32 || 333763 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 636 || Human papillomavirus type 34 || 333764 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 637 || Human papillomavirus type 53 || 333765 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 638 || Human papillomavirus 72 || 333770 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 639 || Human papillomavirus 5 || 333923 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 640 || Human papillomavirus 62 || 334210 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 641 || Rotavirus X (strain RVX/Human/China/NADRV-J19/1997/GXP[X]) (RV ADRV-N) (Rotavirus (isolate novel adult diarrhea rotavirus-J19)) || 335103 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 642 || Rotavirus A (isolate RVA/Human/-/RK9/XXXX/GXP[X]) (RV-A) || 33722 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 643 || Lake Victoria marburgvirus (strain Musoke-80) (MARV) (Marburg virus (strain Kenya/Musoke/1980)) || 33727 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 644 || Lake Victoria marburgvirus (strain Popp-67) (MARV) (Marburg virus (strain West Germany/Popp/1967)) || 33728 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 645 || Mumps virus (strain SBL) (MuV) || 33729 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 646 || Parainfluenza virus 5 (strain 21004-WR) (PIV5) (Simian virus 5) || 33730 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 647 || Dengue virus type 1 (strain Singapore/S275/1990) (DENV-1) || 33741 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 648 || Kyasanur forest disease virus (KFDV) || 33743 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 649 || Hepatitis E virus genotype 1 (isolate Human/Pakistan/Sar-55) (HEV-1) || 33774 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 650 || Simian foamy virus type 1 (SFVmac) (SFV-1) || 338478 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 651 || Cercopithecine herpesvirus 16 (CeHV-16) (Herpesvirus papio 2) || 340907 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 652 || Varicella-zoster virus (strain Oka vaccine) (HHV-3) (Human herpesvirus 3) || 341980 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 653 || Human adenovirus B serotype 11 (strain Slobiski) (HAdV-11) (Human adenovirus 11P (strain Slobiski)) || 343462 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 654 || Human adenovirus B serotype 11 (strain BC34) (HAdV-11) (Human adenovirus 11A (strain BC34)) || 343463 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 655 || Rotavirus X (isolate RVX/Human/Bangladesh/NADRV-B219/2002/GXP[X]) (RV ADRV-N) (Rotavirus (isolate novel adult diarrhea rotavirus-B219)) || 348136 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 656 || Measles virus (strain Biken) (MeV) (Subacute sclerosing panencephalitis virus (strain Biken)) || 351669 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 657 || Influenza A virus (strain A/Duck/Alberta/35/1976 H1N1) || 352520 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 658 || Influenza A virus (strain A/Duck/Hong Kong/7/1975 H3N2) || 352551 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 659 || Human astrovirus-4 (HAstV-4) || 35300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 660 || Bunyamwera virus (BUNV) || 35304 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 661 || Hepatitis C virus genotype 1c (isolate India) (HCV) || 356386 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 662 || Hepatitis C virus genotype 5a (isolate SA13) (HCV) || 356390 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 663 || Hepatitis C virus genotype 6a (isolate 6a33) (HCV) || 356391 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 664 || Hepatitis C virus genotype 1c (isolate HC-G9) (HCV) || 356410 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 665 || Hepatitis C virus genotype 2a (isolate JFH-1) (HCV) || 356411 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 666 || Hepatitis C virus genotype 2b (isolate JPUT971017) (HCV) || 356412 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 667 || Hepatitis C virus genotype 2c (isolate BEBE1) (HCV) || 356413 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 668 || Hepatitis C virus genotype 2k (isolate VAT96) (HCV) || 356414 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 669 || Hepatitis C virus genotype 3a (isolate NZL1) (HCV) || 356415 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 670 || Hepatitis C virus genotype 3a (isolate k3a) (HCV) || 356416 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 671 || Hepatitis C virus genotype 3k (isolate JK049) (HCV) || 356417 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 672 || Hepatitis C virus genotype 4a (isolate ED43) (HCV) || 356418 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 673 || Hepatitis C virus genotype 5a (isolate EUH1480) (HCV) || 356419 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 674 || Hepatitis C virus genotype 6a (isolate EUHK2) (HCV) || 356420 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 675 || Hepatitis C virus genotype 6b (isolate Th580) (HCV) || 356421 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 676 || Hepatitis C virus genotype 6d (isolate VN235) (HCV) || 356422 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 677 || Hepatitis C virus genotype 6g (isolate JK046) (HCV) || 356423 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 678 || Hepatitis C virus genotype 6h (isolate VN004) (HCV) || 356424 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 679 || Hepatitis C virus genotype 6k (isolate VN405) (HCV) || 356425 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 680 || Xenotropic MuLV-related virus (isolate VP35) (XMRV) || 356663 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 681 || Xenotropic MuLV-related virus (isolate VP42) (XMRV) || 356664 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 682 || Hepatitis C virus genotype 3b (isolate Tr-Kj) (HCV) || 357355 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 683 || Human astrovirus-3 (HAstV-3) || 35740 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 684 || Human astrovirus-5 (HAstV-5) || 35741 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 685 || Human immunodeficiency virus type 1 group M subtype B (isolate YU-2) (HIV-1) || 362651 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 686 || Influenza A virus (strain A/New Zealand:South Canterbury/35/2000 H1N1) || 363066 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 687 || Human herpesvirus 1 (strain R15) (HHV-1) (Human herpes simplex virus 1) || 36345 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 688 || Human herpesvirus 1 (strain R19) (HHV-1) (Human herpes simplex virus 1) || 36346 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 689 || Human herpesvirus 6B (strain Z29) (HHV-6 variant B) (Human B lymphotropic virus) || 36351 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 690 || Human immunodeficiency virus type 1 group M subtype B (isolate KB-1/ETR) (HIV-1) || 36375 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 691 || Human immunodeficiency virus type 1 group M subtype B (isolate N1T-A) (HIV-1) || 36376 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 692 || Venezuelan equine encephalitis virus (strain 3880) (VEEV) || 36382 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 693 || Venezuelan equine encephalitis virus (strain Everglades Fe3-7c) (VEEV) || 36383 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 694 || Venezuelan equine encephalitis virus (strain Mena II) (VEEV) || 36384 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 695 || Venezuelan equine encephalitis virus (strain P676) (VEEV) || 36385 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 696 || Louping ill virus (strain 31) (Li) || 36386 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 697 || Louping ill virus (strain K) (Li) || 36387 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 698 || Louping ill virus (strain Negishi 3248/49/P10) (Li) || 36388 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 699 || Louping ill virus (strain Norway) (Li) || 36389 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 700 || Coxsackievirus A24 (strain EH24/70) || 36404 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 701 || Measles virus (strain Edmonston-AIK-C vaccine) (MeV) (Subacute sclerose panencephalitis virus) || 36408 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 702 || Human parainfluenza 1 virus (strains A1426 / 86-315 / 62m-753) (HPIV-1) || 36412 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 703 || Influenza A virus (strain A/Chicken/Brescia/1902 H7N7) || 36418 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 704 || Influenza A virus (strain A/Goose/Guangxi/345/2005 H5N1 genotype G) || 365089 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 705 || Sapporo virus (isolate GI/Human/Japan/Ehime643/2000) (Hu/SV/Ehi643/2000/JP) || 369964 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 706 || Human herpesvirus 1 (strain CVG-2) (HHV-1) (Human herpes simplex virus 1) || 37106 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 707 || Human herpesvirus 1 (strain MGH-10) (HHV-1) (Human herpes simplex virus 1) || 37107 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 708 || Chikungunya virus (strain S27-African prototype) (CHIKV) || 371094 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 709 || Chikungunya virus (strain 37997) (CHIKV) || 371095 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 710 || Chikungunya virus (strain Nagpur) (CHIKV) || 371096 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 711 || Human papillomavirus 28 || 37111 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 712 || Human papillomavirus 29 || 37112 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 713 || Human papillomavirus type 55 || 37114 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 714 || Human papillomavirus 59 || 37115 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 715 || Human papillomavirus type 61 || 37116 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 716 || Human papillomavirus type 64 || 37118 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 717 || Human papillomavirus 66 || 37119 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 718 || Human papillomavirus 67 || 37120 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 719 || Human papillomavirus 69 || 37121 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 720 || Human papillomavirus type 6a || 37122 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 721 || Chikungunya virus (CHIKV) || 37124 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 722 || Southampton virus (strain GI/Human/United Kingdom/Southampton/1991) (SHV) (Hu/NV/SHV/1991/UK) || 37129 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 723 || Human astrovirus-6 (HAstV-6) || 37130 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 724 || Rabies virus (isolate Fox/Ontario/1991) (RABV) || 37132 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 725 || Rotavirus A (isolate RVA/Human/Thailand/Mc35/1992/G10P11[14]) (RV-A) || 37136 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 726 || Human herpesvirus 8 (HHV-8) (Kaposi&#039;s sarcoma-associated herpesvirus) || 37296 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 727 || Xenotropic MuLV-related virus (isolate VP62) (XMRV) || 373193 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 728 || Eastern equine encephalitis virus (strain PE-0.0155) (EEEV) (Eastern equine encephalomyelitis virus) || 374596 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 729 || Eastern equine encephalitis virus (strain PE-3.0815) (EEEV) (Eastern equine encephalomyelitis virus) || 374597 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 730 || Eastern equine encephalitis virus (strain Florida 91-469) (EEEV) (Eastern equine encephalomyelitis virus) || 374598 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 731 || O&#039;nyong-nyong virus (strain SG650) (ONNV) || 374989 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 732 || Mayaro virus (strain Brazil) (MAYV) || 374990 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 733 || Rubella virus (strain BRD1) (RUBV) || 376262 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 734 || Rubella virus (strain BRDII) (RUBV) || 376263 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 735 || Rubella virus (strain TO-336) (RUBV) || 376264 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 736 || Rubella virus (strain TO-336 vaccine) (RUBV) || 376265 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 737 || Rubella virus (strain Cendehill) (RUBV) || 376266 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 738 || Rubella virus (strain RN-UK86) (RUBV) || 376267 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 739 || Lake Victoria marburgvirus (strain Ravn-87) (MARV) (Marburg virus (strain Kenya/Ravn/1987)) || 378809 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 740 || Lake Victoria marburgvirus (strain Angola/2005) (MARV) || 378830 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 741 || Human papillomavirus 22 || 37954 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 742 || Human papillomavirus 23 || 37955 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 743 || Human papillomavirus 24 || 37956 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 744 || Human papillomavirus 36 || 37957 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 745 || Human papillomavirus 37 || 37958 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 746 || Human papillomavirus 38 || 37959 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 747 || Influenza A virus (strain A/New Jersey/8/1976 H1N1) || 379756 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 748 || Influenza A virus (strain A/Taiwan/1/1986 H1N1) || 380213 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 749 || Influenza A virus (strain A/Swine/Hong Kong/3/1976 H3N2) || 380216 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 750 || Influenza A virus (strain A/Swine/Hong Kong/4/1976 H3N2) || 380217 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 751 || Influenza A virus (strain A/Fort Monmouth/1/1947 H1N1) || 380282 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 752 || Influenza A virus (strain A/Equine/Prague/1/1956 H7N7) || 380337 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 753 || Influenza A virus (strain A/Equine/London/1416/1973 H7N7) || 380340 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 754 || Influenza A virus (strain A/Swine/Iowa/17672/1988 H1N1) || 380341 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 755 || Influenza A virus (strain A/Swine/Iowa/15/1930 H1N1) || 380342 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 756 || Influenza A virus (strain A/Wisconsin/3523/1988 H1N1) || 380346 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 757 || Influenza A virus (strain A/Swine/Netherlands/12/1985 H1N1) || 380347 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 758 || Influenza A virus (strain A/Turkey/Minnesota/1661/1981 H1N1) || 380349 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 759 || Influenza A virus (strain A/Beijing/353/1989 H3N2) || 380949 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 760 || Influenza A virus (strain A/Tokyo/3/1967 H2N2) || 380960 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 761 || Influenza A virus (strain A/Leningrad/134/47/1957 H2N2) || 380983 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 762 || Influenza A virus (strain A/Leningrad/134/17/1957 H2N2) || 380984 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 763 || Influenza A virus (strain A/Chile/1/1983 H1N1) || 380985 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 764 || Influenza A virus (strain A/USSR/90/1977 H1N1) || 381516 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 765 || Influenza A virus (strain A/Udorn/307/1972 H3N2) || 381517 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 766 || Influenza A virus (strain A/Wilson-Smith/1933 H1N1) (Influenza A virus (strain A/WS/1933 H1N1)) || 381518 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 767 || Influenza A virus (strain A/Singapore/1/1957 H2N2) || 382781 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 768 || Influenza A virus (strain A/Guangdong/39/1989 H3N2) || 382812 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 769 || Influenza A virus (strain A/Philippines/2/1982 H3N2) || 382825 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 770 || Influenza A virus (strain A/RI/5-/1957 H2N2) || 382828 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 771 || Influenza A virus (strain A/Swine/29/1937 H1N1) || 382842 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 772 || Influenza A virus (strain A/Swine/Cambridge/1/1935 H1N1) || 382844 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 773 || Influenza A virus (strain A/Swine/Dandong/9/1983 H3N2) || 382846 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 774 || Influenza A virus (strain A/Swine/Hong Kong/126/1982 H3N2) || 382848 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 775 || Influenza A virus (strain A/Swine/Italy/839/1989 H1N1) || 382851 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 776 || Influenza A virus (strain A/Swine/Wisconsin/1/1967 H1N1) || 382855 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 777 || Influenza A virus (strain A/Swine/Italy/141/1981 H1N1) || 383530 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 778 || Influenza A virus (strain A/Swine/Italy/2/1979 H1N1) || 383531 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 779 || Influenza A virus (strain A/Swine/Italy/437/1976 H1N1) || 383532 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 780 || Influenza A virus (strain A/Swine/Wisconsin/1/1961 H1N1) || 383533 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 781 || Influenza A virus (strain A/Swine/Wisconsin/1/1957 H1N1) || 383534 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 782 || Influenza A virus (strain A/Swine/May/1954 H1N1) || 383535 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 783 || Influenza A virus (strain A/Swine/41/1949 H1N1) || 383536 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 784 || Influenza A virus (strain A/Swine/Iowa/1946 H1N1) || 383537 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 785 || Influenza A virus (strain A/Swine/Jamesburg/1942 H1N1) || 383538 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 786 || Influenza A virus (strain A/Swine/Ohio/23/1935 H1N1) || 383539 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 787 || Influenza A virus (strain A/England/19/1955 H1N1) || 383541 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 788 || Influenza A virus (strain A/Hickox/1940 H1N1) || 383543 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 789 || Influenza A virus (strain A/Teal/Iceland/29/1980 H7N7) || 383546 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 790 || Influenza A virus (strain A/Duck/Australia/749/1980 H1N1) || 383547 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 791 || Influenza A virus (strain A/Fowl plague virus/Dobson/&#039;Dutch&#039;/1927 H7N7) || 383551 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 792 || Influenza A virus (strain A/Shanghai/16/1989 H3N2) || 383567 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 793 || Influenza A virus (strain A/Shanghai/11/1987 H3N2) || 383568 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 794 || Influenza A virus (strain A/Shanghai/31/1980 H3N2) || 383569 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 795 || Influenza A virus (strain A/Shanghai/6/1990 H3N2) || 383570 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 796 || Influenza A virus (strain A/Memphis/6/1986 H3N2) || 383571 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 797 || Influenza A virus (strain A/Memphis/14/1985 H3N2) || 383572 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 798 || Influenza A virus (strain A/Memphis/5/1980 H3N2) || 383575 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 799 || Influenza A virus (strain A/Memphis/4/1980 H3N2) || 383578 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 800 || Influenza A virus (strain A/Memphis/18/1978 H3N2) || 383579 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 801 || Influenza A virus (strain A/Memphis/2/1978 H3N2) || 383580 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 802 || Influenza A virus (strain A/Memphis/110/1976 H3N2) || 383581 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 803 || Influenza A virus (strain A/Memphis/1/1973 H3N2) || 383582 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 804 || Influenza A virus (strain A/Memphis/101/1972 H3N2) || 383583 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 805 || Influenza A virus (strain A/Memphis/1/1971 H3N2) || 383586 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 806 || Influenza A virus (strain A/Memphis/8/1988 H3N2) || 383588 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 807 || Influenza A virus (strain A/Memphis/3/1988 H3N2) || 383589 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 808 || Influenza A virus (strain A/Guangdong/9/1987 H3N2) || 383592 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 809 || Influenza A virus (strain A/Guangdong/38/1977 H3N2) || 383593 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 810 || Influenza A virus (strain A/Beijing/337/1989 H3N2) || 383595 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 811 || Influenza A virus (strain A/Beijing/39/1975 H3N2) || 383596 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 812 || Influenza A virus (strain A/Beijing/352/1989 H3N2) || 383597 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 813 || Influenza A virus (strain A/Swine/Tennessee/26/1977 H1N1) || 384479 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 814 || Influenza A virus (strain A/Swine/Iowa/1976/1931 H1N1) || 384482 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 815 || Influenza A virus (strain A/Swine/Hong Kong/127/1982 H3N2) || 384483 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 816 || Influenza A virus (strain A/Swine/Hong Kong/81/1978 H3N2) || 384484 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 817 || Influenza A virus (strain A/Swine/Hong Kong/6/1976 H3N2) || 384485 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 818 || Influenza A virus (strain A/Swine/Indiana/1726/1988 H1N1) || 384487 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 819 || Influenza A virus (strain A/Loyang/4/1957 H1N1) || 384489 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 820 || Influenza A virus (strain A/Seal/Massachusetts/1/1980 H7N7) || 384493 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 821 || Influenza A virus (strain A/Kiev/59/1979 H1N1) || 384495 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 822 || Influenza A virus (strain A/Ann Arbor/6/1960 H2N2) || 384498 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 823 || Influenza A virus (strain A/Beijing/11/1956 H1N1) || 384500 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 824 || Influenza A virus (strain A/Swine/Ontario/2/1981 H1N1) || 384501 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 825 || Influenza A virus (strain A/Mallard/New York/6750/1978 H2N2) || 384502 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 826 || Influenza A virus (strain A/Northern Territory/60/1968 H3N2) (Influenza A virus (strain NT60)) (Influenza A virus (strain A/NT/60/1968 H3N2)) || 384505 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 827 || Influenza A virus (strain A/Mallard/New York/6874/1978 H3N2) || 384518 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 828 || Influenza A virus (strain A/Fort Warren/1/1950 H1N1) || 384525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 829 || Influenza A virus (strain A/Canberra grammar/1977 H3N2) || 384526 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 830 || Influenza A virus (strain A/Berkeley/1/1968 H2N2) || 384528 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 831 || Influenza A virus (strain A/Alaska/6/1977 H3N2) || 385576 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 832 || Influenza A virus (strain A/Ohio/4/1983 H1N1) || 385596 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 833 || Influenza A virus (strain A/Udorn/1972 H3N2) || 385599 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 834 || Influenza A virus (strain A/Swine/Tennessee/24/1977 H1N1) || 385606 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 835 || Influenza A virus (strain A/Port Chalmers/1/1973 H3N2) || 385624 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 836 || Influenza A virus (strain A/BH/1935 H1N1) || 385629 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 837 || Influenza A virus (strain A/Bangkok/1/1979 H3N2) || 385630 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 838 || Influenza A virus (strain A/Memphis/102/1972 H3N2) || 385640 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 839 || Influenza A virus (strain A/Swine/Ukkel/1/1984 H3N2) || 385644 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 840 || Influenza A virus (strain A/Swine/Colorado/1/1977 H3N2) || 385645 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 841 || Reston ebolavirus (strain Reston-89) (REBOV) (Reston Ebola virus) || 386032 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 842 || Sudan ebolavirus (strain Human/Uganda/Gulu/2000) (SEBOV) (Sudan Ebola virus) || 386033 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 843 || Influenza A virus (strain A/Aichi/2/1968 H3N2) || 387139 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 844 || Influenza A virus (strain A/England/878/1969 H3N2) || 387147 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 845 || Influenza A virus (strain A/Hong Kong/5/1983 H3N2) || 387159 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 846 || Influenza A virus (strain A/Japan/305/1957 H2N2) || 387161 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 847 || Influenza A virus (strain A/Leningrad/134/1957 H2N2) || 387163 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 848 || Influenza A virus (strain A/Camel/Mongolia/1982 H1N1) || 387191 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 849 || Influenza A virus (strain A/Duck/Bavaria/2/1977 H1N1) || 387203 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 850 || Lagos bat virus (LBV) || 38766 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 851 || Duvenhage virus (DUVV) || 38767 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 852 || Yaba monkey tumor virus (YMTV) || 38804 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 853 || Banzi virus (BANV) || 38837 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 854 || Human immunodeficiency virus type 1 group M subtype C (isolate ETH2220) (HIV-1) || 388796 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 855 || Human immunodeficiency virus type 1 group M subtype C (isolate 92BR025) (HIV-1) || 388812 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 856 || Human immunodeficiency virus type 1 group M subtype F1 (isolate VI850) (HIV-1) || 388813 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 857 || Human immunodeficiency virus type 1 group M subtype F1 (isolate 93BR020) (HIV-1) || 388814 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 858 || Human immunodeficiency virus type 1 group M subtype F2 (isolate MP255) (HIV-1) || 388815 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 859 || Human immunodeficiency virus type 1 group O (isolate MVP5180) (HIV-1) || 388816 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 860 || Human immunodeficiency virus type 1 group N (isolate YBF30) (HIV-1) || 388818 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 861 || Human immunodeficiency virus type 1 group N (isolate YBF106) (HIV-1) || 388819 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 862 || Human immunodeficiency virus type 2 subtype B (isolate EHO) (HIV-2) || 388821 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 863 || Human immunodeficiency virus type 2 subtype B (isolate UC1) (HIV-2) || 388822 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 864 || Human immunodeficiency virus type 1 group M subtype F2 (isolate MP257) (HIV-1) || 388823 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 865 || Human immunodeficiency virus type 1 group M subtype G (isolate SE6165) (HIV-1) || 388824 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 866 || Human immunodeficiency virus type 1 group M subtype G (isolate 92NG083) (HIV-1) || 388825 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 867 || Human immunodeficiency virus type 1 group M subtype H (isolate 90CF056) (HIV-1) || 388826 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 868 || Human immunodeficiency virus type 1 group M subtype H (isolate VI991) (HIV-1) || 388888 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 869 || Human immunodeficiency virus type 1 group M subtype J (isolate SE9173) (HIV-1) || 388904 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 870 || Human immunodeficiency virus type 1 group M subtype J (isolate SE9280) (HIV-1) || 388905 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 871 || Human immunodeficiency virus type 1 group M subtype K (isolate 96CM-MP535) (HIV-1) || 388906 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 872 || Human immunodeficiency virus type 1 group M subtype K (isolate 97ZR-EQTB11) (HIV-1) || 388907 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 873 || Human astrovirus-7 (HAstV-7) || 38950 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 874 || Influenza A virus (strain A/Memphis/4/1973 H3N2) || 38973 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 875 || Influenza B virus (strain B/Finland/145/1990) || 38988 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 876 || Influenza B virus (strain B/Finland/146/1990) || 38990 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 877 || Influenza B virus (strain B/Finland/147/1990) || 38991 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 878 || Influenza B virus (strain B/Finland/148/1990) || 38992 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 879 || Influenza B virus (strain B/Finland/149/1990) || 38993 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 880 || Influenza B virus (strain B/Finland/150/1990) || 38994 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 881 || Influenza B virus (strain B/Finland/151/1990) || 38995 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 882 || Influenza B virus (strain B/Finland/24/1985) || 38996 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 883 || Influenza B virus (strain B/Finland/56/1988) || 38997 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 884 || Puumala virus (strain Berkel) || 38998 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 885 || Puumala virus (strain Evo/12CG/93) || 38999 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 886 || Puumala virus (strain K27) || 39000 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 887 || Puumala virus (strain P360) || 39001 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 888 || Puumala virus (strain Sotkamo/V-2969/81) || 39002 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 889 || Puumala virus (strain Udmurtia/894CG/91) || 39003 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 890 || Rabies virus (isolate Skunk/Ontario/1991) (RABV) || 39005 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 891 || Tick-borne powassan virus (strain LB) (POWV) (Powassan virus) || 39008 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 892 || Rotavirus A (isolate RVA/Human/Australia/A91a/1991/G1P[X]) (RV-A) || 39011 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 893 || Rotavirus A (strain RVA/Human/Japan/K8/1977/G1P3A[9]) (RV-A) || 39012 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 894 || Rotavirus A (strain RVA/Human/Japan/AU-1/1982/G3P3[9]) (RV-A) || 39013 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 895 || Human T-cell leukemia virus 1 (isolate Zaire EL subtype B) (HTLV-1) || 39015 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 896 || Human T-cell leukemia virus 1 (isolate Caribbea CH subtype A) (HTLV-1) || 39016 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 897 || Human enterovirus 71 (EV71) (EV-71) || 39054 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 898 || Influenza A virus (strain A/Victoria/3/1975 H3N2) || 392809 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 899 || Influenza A virus (strain A/Leningrad/1/1954 H1N1) || 393557 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 900 || Influenza A virus (strain A/Brazil/11/1978 H1N1) || 393560 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 901 || Influenza A virus (strain A/India/6263/1980 H1N1) || 393562 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 902 || Influenza A virus (strain A/England/321/1977 H3N2) || 393563 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 903 || Human papillomavirus type 70 || 39457 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 904 || Influenza A virus (strain A/China:Nanchang/11/1996 H1N1) || 394786 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 905 || Horsepox virus (HSPV) || 397342 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 906 || Human immunodeficiency virus type 1 group M subtype B (strain 89.6) (HIV-1) || 401671 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 907 || Human T-cell leukemia virus 3 (strain 2026ND) (HTLV-3) || 402036 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 908 || Human T-cell leukemia virus 1 (isolate Melanesia mel5 subtype C) (HTLV-1) || 402046 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 909 || Influenza A virus (strain A/Chicken/Victoria/1/1985 H7N7) || 402520 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 910 || Influenza A virus (strain A/Starling/Victoria/5156/1985 H7N7) || 402525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 911 || Influenza A virus (strain A/Chicken/Scotland/1959 H5N1) || 402527 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 912 || Human papillomavirus type 48 || 40538 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 913 || Human papillomavirus type 50 || 40539 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 914 || Human papillomavirus type 60 || 40540 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 915 || Human T-cell leukemia virus 3 (strain Pyl43) (HTLV-3) || 406769 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 916 || Yellow fever virus (strain Ghana/Asibi/1927) (YFV) || 407134 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 917 || Yellow fever virus (strain French neurotropic vaccine FNV) (YFV) || 407135 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 918 || Yellow fever virus (isolate Ivory Coast/1999) (YFV) || 407136 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 919 || Yellow fever virus (strain Trinidad/TRINID79A/1979) (YFV) || 407137 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 920 || Yellow fever virus (isolate Ivory Coast/85-82H/1982) (YFV) || 407138 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 921 || Yellow fever virus (isolate Uganda/A7094A4/1948) (YFV) || 407139 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 922 || Yellow fever virus (isolate Angola/14FA/1971) (YFV) || 407140 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 923 || Yellow fever virus (isolate Ethiopia/Couma/1961) (YFV) || 407141 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 924 || Dengue virus type 1 (strain Brazil/97-11/1997) (DENV-1) || 408685 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 925 || Dengue virus type 4 (strain Philippines/H241/1956) (DENV-4) || 408686 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 926 || Dengue virus type 4 (strain Singapore/8976/1995) (DENV-4) || 408687 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 927 || Dengue virus type 4 (strain Thailand/0348/1991) (DENV-4) || 408688 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 928 || Dengue virus type 4 (strain Thailand/0476/1997) (DENV-4) || 408689 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 929 || Dengue virus type 3 (strain China/80-2/1980) (DENV-3) || 408690 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 930 || Dengue virus type 3 (strain Martinique/1243/1999) (DENV-3) || 408691 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 931 || Dengue virus type 3 (strain Sri Lanka/1266/2000) (DENV-3) || 408692 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 932 || Dengue virus type 3 (strain Singapore/8120/1995) (DENV-3) || 408693 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 933 || Dengue virus type 2 (strain Peru/IQT2913/1996) (DENV-2) || 408694 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 934 || Dengue virus type 3 (strain Philippines/H87/1956) (DENV-3) || 408870 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 935 || Dengue virus type 4 (strain Dominica/814669/1981) (DENV-4) || 408871 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 936 || Influenza B virus (strain B/Panama/45/1990) || 408929 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 937 || Human respiratory syncytial virus A (strain S-2) (HRSV-S2) || 410078 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 938 || Dengue virus type 2 (isolate Thailand/0168/1979) (DENV-2) || 413041 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 939 || Influenza B virus (strain B/Yamagata/16/1988) || 416674 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 940 || Influenza B virus (strain B/Hong Kong/22/1989) || 416675 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 941 || Influenza B virus (strain B/Bangkok/163/1990) || 416677 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 942 || Influenza A virus (strain A/USA:Memphis/10/1996 H1N1) || 416730 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 943 || Hepatitis C virus genotype 1b (strain HC-J4) (HCV) || 420174 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 944 || Hepatitis C virus genotype 1b (isolate HC-J1) (HCV) || 421877 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 945 || Hepatitis C virus genotype 1b (isolate HCR6) (HCV) || 421879 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 946 || KI polyomavirus (isolate Stockholm 60) (KIPyV) || 423446 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 947 || KI polyomavirus (isolate Stockholm 350) (KIPyV) || 423447 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 948 || KI polyomavirus (isolate Stockholm 380) (KIPyV) || 423448 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 949 || Influenza A virus (strain A/USA:Huston/AA/1945 H1N1) || 425551 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 950 || Influenza A virus (strain A/California/10/1978 H1N1) || 425557 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 951 || Influenza A virus (strain A/Henry/1936 H1N1) || 425562 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 952 || Influenza A virus (strain A/USA:Iowa/1943 H1N1) || 425563 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 953 || Influenza A virus (strain A/Malaysia:Malaya/302/1954 H1N1) || 425566 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 954 || Influenza A virus (strain A/USA:Phila/1935 H1N1) || 425570 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 955 || Influenza A virus (strain A/USA:Albany/12/1951 H1N1) || 425580 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 956 || Influenza B virus (strain B/Hong Kong/8/1973) || 427826 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 957 || Human astrovirus-8 (HAstV-8) || 43358 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 958 || Saffold virus (SafV) (Human TMEV-like virus-Saffold) || 434309 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 959 || Vesicular stomatitis Indiana virus (strain 98COE North America) (VSIV) || 434488 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 960 || Vesicular stomatitis Indiana virus (strain 94GUB Central America) (VSIV) || 434489 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 961 || Vesicular stomatitis Indiana virus (strain 85CLB South America) (VSIV) || 434490 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 962 || Kokobera virus (KOKV) || 44024 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 963 || WU polyomavirus (WUPyV) || 440266 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 964 || Human rhinovirus 3 (HRV-3) || 44130 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 965 || Human coronavirus HKU1 (isolate N1) (HCoV-HKU1) || 443239 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 966 || Human coronavirus HKU1 (isolate N2) (HCoV-HKU1) || 443240 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 967 || Human coronavirus HKU1 (isolate N5) (HCoV-HKU1) || 443241 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 968 || Influenza A virus (strain A/Texas/1/1977 H3N2) || 444318 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 969 || Rabies virus (strain India) (RABV) || 445790 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 970 || Rabies virus (strain China/MRV) (RABV) || 445791 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 971 || Rabies virus (strain China/DRV) (RABV) || 445792 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 972 || Rabies virus (strain silver-haired bat-associated) (RABV) (SHBRV) || 445793 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 973 || Australian bat lyssavirus (isolate Bat/AUS/1996) (ABLV) || 446561 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 974 || Australian bat lyssavirus (isolate Human/AUS/1998) (ABLV) || 446562 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 975 || New York virus (NYV) || 44755 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 976 || Human papillomavirus 68 || 45240 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 977 || Hepatitis B virus genotype F2 (isolate Brazil/w4B) (HBV-F) || 45410 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 978 || Rabies virus (strain Vnukovo-32) (RABV) || 45418 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 979 || Influenza A virus (strain A/USA:Texas/UR06-0195/2007 H1N1) || 455880 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 980 || Human adenovirus B serotype 3 (HAdV-3) (Human adenovirus 3) || 45659 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 981 || Influenza B virus (strain B/Malaysia/2506/2004) || 464417 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 982 || Colorado tick fever virus (CTFV) || 46839 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 983 || Human adenovirus D serotype 17 (HAdV-17) (Human adenovirus 17) || 46922 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 984 || Human hepatitis A virus genotype IA (isolate GBM) (HHAV) (Human hepatitis A virus (isolate Human/Germany/GBM/1976)) || 470422 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 985 || Human hepatitis A virus genotype IA (isolate H2) (HHAV) (Human hepatitis A virus (isolate Human/China/H2/1982)) || 470423 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 986 || Human hepatitis A virus genotype IA (isolate HAS-15) (HHAV) (Human hepatitis A virus (isolate Human/Arizona/HAS-15/1979)) || 470424 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 987 || Human hepatitis A virus genotype IIA (isolate CF-53) (HHAV) (Human hepatitis A virus (isolate Human/France/CF-53/1979)) || 470591 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 988 || Human hepatitis A virus genotype IIB (isolate SLF88) (HHAV) (Human hepatitis A virus (isolate Human/Sierra Leone/SLF88/1988)) || 470592 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 989 || Human hepatitis A virus genotype IIIA (isolate NOR-21) (HHAV) (Human hepatitis A virus (isolate Human/Norway/NOR-21/1998)) || 470593 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 990 || Human hepatitis A virus genotype IIIB (isolate HAJ85-1) (HHAV) (Human hepatitis A virus (isolate Human/Japan/HAJ85-1/1985)) || 474341 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 991 || Influenza A virus (strain A/Equine/Lexington/1/1966 H7N7) || 475494 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 992 || Influenza A virus (strain A/wyoming/03/2003 H3N2) || 480024 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 993 || Hepatitis B virus genotype A2 subtype adw2 (strain Rutter 1979) (HBV-A) || 480116 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 994 || Hepatitis B virus genotype C subtype adr (isolate Japan/Nishioka/1983) (HBV-C) || 482133 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 995 || Hepatitis B virus genotype A2 subtype adw (isolate Japan/Nishioka/1983) (HBV-A) || 482134 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 996 || Lake Victoria marburgvirus (strain Ozolin-75) (MARV) (Marburg virus (strain South Africa/Ozolin/1975)) || 482820 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 997 || Torque teno virus (isolate Human/Japan/TRM1/1999) (TTV) (Torque teno virus genotype 1a) || 486275 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 998 || Torque teno virus (isolate Human/Japan/SANBAN/1999) (TTV) || 486277 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 999 || Torque teno virus (isolate Human/China/CT39F/2001) (TTV) || 486279 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1000 || Torque teno virus (strain VT416) (TTV) || 486280 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1001 || Torque teno virus (isolate Human/Ghana/GH1/1996) (TTV) || 487067 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1002 || Uukuniemi virus (strain S23) (UUKV) || 487099 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1003 || Influenza A virus (strain A/Korea/426/1968 H2N2) || 488241 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1004 || Hepatitis B virus genotype A1 subtype adw2 (isolate Southern-Africa/Cai) (HBV-A) || 489449 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1005 || Hepatitis B virus genotype A1 subtype adw2 (isolate South Africa/84/2001) (HBV-A) || 489454 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1006 || Hepatitis B virus genotype A2 (isolate Japan/11D11HCCW/1998) (HBV-A) || 489457 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1007 || Hepatitis B virus genotype A3 (isolate Cameroon/CMR983/1994) (HBV-A) || 489458 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1008 || Hepatitis B virus genotype A3 (isolate Cameroon/CMR711/1994) (HBV-A) || 489459 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1009 || Hepatitis B virus genotype B2 (isolate Vietnam/9873/1997) (HBV-B) || 489461 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1010 || Hepatitis B virus genotype B2 (isolate Vietnam/16091/1992) (HBV-B) || 489462 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1011 || Hepatitis B virus genotype B2 subtype adw (isolate China/patient4/1996) (HBV-B) || 489463 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1012 || Hepatitis B virus genotype B1 (isolate Japan/Yamagata-2/1998) (HBV-B) || 489464 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1013 || Hepatitis B virus genotype B1 (isolate Japan/Ry30/2002) (HBV-B) || 489465 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1014 || Hepatitis B virus genotype C subtype ar (isolate Japan/S-207/1988) (HBV-C) || 489467 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1015 || Hepatitis B virus genotype C subtype ad (isolate Japan/S-179/1988) (HBV-C) || 489468 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1016 || Hepatitis B virus genotype C subtype ayw (isolate China/Tibet127/2002) (HBV-C) || 489469 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1017 || Hepatitis B virus genotype C subtype adr (isolate Japan/A4/1994) (HBV-C) || 489470 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1018 || Hepatitis B virus genotype C subtype ayw (isolate Australia/AustRC/1992) (HBV-C) || 489471 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1019 || Hepatitis B virus genotype C (isolate Vietnam/3270/2000) (HBV-C) || 489472 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1020 || Hepatitis B virus genotype D subtype ayw (isolate Japan/JYW796/1988) (HBV-D) || 489487 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1021 || Hepatitis B virus genotype D subtype ayw (isolate Australia/AustKW/1991) (HBV-D) || 489488 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1022 || Hepatitis B virus genotype D subtype ayw (isolate Italy/CI/1992) (HBV-D) || 489489 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1023 || Hepatitis B virus genotype D (isolate Germany/1-91/1991) (HBV-D) || 489490 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1024 || Hepatitis B virus genotype E subtype ayw4 (isolate Kou) (HBV-E) || 489495 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1025 || Hepatitis B virus genotype E (isolate Cote d&#039;Ivoire/ABI-129/2003) (HBV-E) || 489496 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1026 || Hepatitis B virus genotype E (isolate Chimpanzee/Ch195/1999) (HBV-E) || 489497 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1027 || Hepatitis B virus genotype E (isolate Cote d&#039;Ivoire/ABI-212/2003) (HBV-E) || 489498 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1028 || Hepatitis B virus genotype F1 subtype adw4 (isolate El Salvador/1116Sal/1997) (HBV-F) || 489499 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1029 || Hepatitis B virus genotype F1 (isolate Argentina/sa11/2000) (HBV-F) || 489500 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1030 || Hepatitis B virus genotype F2 (isolate Argentina/sa16/2000) (HBV-F) || 489501 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1031 || Hepatitis B virus genotype F2 subtype adw4q (isolate Senegal/9203) (HBV-F) || 489503 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1032 || Hepatitis B virus genotype G (isolate United States/USG17/2002) (HBV-G) || 489537 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1033 || Hepatitis B virus genotype G (isolate IG29227/2000) (HBV-G) || 489538 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1034 || Hepatitis B virus genotype H (isolate United States/LAS2523/2002) (HBV-H) || 489539 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1035 || Hepatitis B virus genotype H subtype adw4 (isolate Nicaragua/1853Nic/1997) (HBV-H) || 489540 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1036 || Hepatitis B virus genotype H subtype adw4 (isolate Nicaragua/2928Nic/1997) (HBV-H) || 489541 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1037 || Hepatitis B virus genotype D subtype ayw (isolate France/Tiollais/1979) (HBV-D) || 490133 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1038 || Influenza A virus (strain A/Hong Kong/1/1968 H3N2) || 506350 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1039 || Hepatitis E virus genotype 3 (isolate Human/United States/US2) (HEV-3) || 509615 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1040 || Hepatitis E virus genotype 4 (isolate Human/China/T1) (HEV-4) (Hepatitis E virus genotype 4 (isolate Human/China/Ct1)) || 509627 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1041 || Human papillomavirus 73 || 51033 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1042 || Hepatitis E virus genotype 3 (isolate Swine/United States/swUS1) (HEV-3) (Hepatitis E virus genotype 3 (isolate Swine/United States/Meng)) || 512345 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1043 || Hepatitis E virus genotype 1 (isolate Human/India/Hyderabad) (HEV-1) || 512346 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1044 || Influenza B virus (strain B/Lee/1940) || 518987 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1045 || Influenza A virus (strain A/Russia:St.Petersburg/8/2006 H1N1) || 518998 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1046 || Norovirus (strain Human/NoV/United States/Norwalk/1968/GI) (Hu/NV/NV/1968/US) || 524364 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1047 || Human herpesvirus 7 (strain JI) (HHV-7) (Human T lymphotropic virus) || 57278 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1048 || Human herpesvirus 7 (strain MUK) (HHV-7) (Human T lymphotropic virus) || 57279 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1049 || Human bocavirus 2 (HBoV2) (Human bocavirus type 2) || 573977 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1050 || Rotavirus A (isolate RVA/Human/United Kingdom/A64/1987/G10P11[14]) (RV-A) || 578827 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1051 || Rotavirus A (strain RVA/Human/Japan/KUN/1980/G2P1B[4]) (RV-A) || 578829 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1052 || Rotavirus A (isolate RVA/Human/United States/WI61/1983/G9P1A[8]) (RV-A) || 578830 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1053 || Rotavirus A (strain RVA/Human/United States/D/1974/G1P1A[8]) (RV-A) || 578831 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1054 || Rotavirus A (strain RVA/Human/Japan/YO/1977/G3P1A[8]) (RV-A) || 578832 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1055 || Rotavirus A (strain RVA/Human/United States/M/1976/G3P[X]) (RV-A) || 578834 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1056 || Rotavirus A (isolate RVA/Human/Belgium/B4106/2000/G3P11[14]) (RV-A) (Rotavirus A (isolate B4106)) || 578843 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1057 || Variola virus (isolate Human/India/Ind3/1967) (VARV) (Smallpox virus) || 587200 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1058 || Getah virus (GETV) || 59300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1059 || Sagiyama virus (SAGV) || 59303 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1060 || Ilheus virus (ILHV) || 59563 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1061 || Monkeypox virus (strain Zaire-96-I-16) (MPX) || 619591 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1062 || Influenza A virus (strain A/Kitakyushu/159/1993 H3N2) || 62478 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1063 || Hepatitis C virus genotype 1a (isolate H77) (HCV) || 63746 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1064 || Rotavirus A (isolate RVA/Human/India/116E/1986/G9P8[11]) (RV-A) || 638299 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1065 || Human bocavirus 3 (HBoV3) (Adelavirus W471) || 638313 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1066 || Influenza A virus (strain swl A/California/04/2009 H1N1) || 641501 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1067 || Usutu virus (USUV) || 64286 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1068 || Tembusu virus (TMUV) || 64293 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1069 || Bussuquara virus (BUSV) || 64304 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1070 || Rocio virus (ROCV) || 64315 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1071 || Zika virus (ZIKV) || 64320 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1072 || Influenza A virus (strain swl A/New York/23/2009 H1N1) || 643546 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1073 || Influenza A virus (strain swl A/Mexico/InDRE4487/2009 H1N1) || 643780 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1074 || Influenza A virus (strain swl A/Paris/2590/2009 H1N1) || 644653 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1075 || Influenza A virus (strain swl A/Mexico/4108/2009 H1N1) || 644882 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1076 || Measles virus (strain Ichinose-B95a) (MeV) (Subacute sclerose panencephalitis virus) || 645098 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1077 || Human astrovirus VA1 (HAstV-VA1) (Mamastrovirus 9) || 645687 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1078 || Orf virus (strain Goat/Texas/SA00/2000) (OV-SA00) (Orf virus-San Angelo 2000) || 647330 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1079 || Human picobirnavirus (strain Human/Thailand/Hy005102/-) (PBV) || 647332 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1080 || Colorado tick fever virus (strain USA/Florio N-7180) (CTFV) || 648168 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1081 || Human parvovirus B19 (strain HV) (HPV B19) || 648237 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1082 || Human parvovirus B19 (isolate AU) (HPV B19) || 648238 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1083 || Influenza A virus (strain swl A/Guangdong/02/2009 H1N1) || 649331 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1084 || Human rhinovirus A serotype 89 (strain 41467-Gallo) (HRV-89) || 650130 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1085 || Aichi virus (strain Human/A846/88/1989) (AiV) (Aichi virus (strain A846/88)) || 650132 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1086 || Influenza A virus (strain swl A/Italy/05/2009 H1N1) || 651124 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1087 || Salivirus A (isolate Human/Nigeria/NG-J1/2007) (SV-A) || 651733 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1088 || Hepatitis E virus genotype 1 (isolate Human/China/HeBei/1987) (HEV) || 652674 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1089 || Influenza A virus (strain swl A/Sakai/1/2009 H1N1) || 652935 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1090 || Crimean-Congo hemorrhagic fever virus (strain Nigeria/IbAr10200/1970) (CCHFV) || 652961 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1091 || Human klassevirus 1 (HKV-1) || 655603 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1092 || Measles virus (strain Shanghai-191 vaccine) (MeV) || 673322 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1093 || Human torovirus (HuTV) || 67605 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1094 || Torque teno virus (isolate Human/Finland/Hel32/2002) (TTV) (Torque teno virus genotype 6) || 687342 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1095 || Torque teno virus (isolate Human/Germany/KAV/2001) (TTV) || 687345 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1096 || Torque teno virus (isolate Japanese macaque/Japan/Mf-TTV9/2000) (TTV) || 687364 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1097 || Torque teno virus (isolate Human/China/CT23F/2001) (TTV) || 687366 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1098 || Primate bocaparvovirus 1 (strain Human bocavirus 1 type 1) (HBoV1) (Human bocavirus type 1) || 689403 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1099 || Human enterovirus 71 (strain USA/BrCr/1970) (EV71) (EV-71) || 69153 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1100 || Coxsackievirus A16 (strain G-10) || 69159 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1101 || Human cytomegalovirus (strain 1042) (HHV-5) (Human herpesvirus 5) || 69162 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1102 || Human cytomegalovirus (strain 2387) (HHV-5) (Human herpesvirus 5) || 69163 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1103 || Human cytomegalovirus (strain 4654) (HHV-5) (Human herpesvirus 5) || 69164 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1104 || Human cytomegalovirus (strain 5040) (HHV-5) (Human herpesvirus 5) || 69165 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1105 || Human cytomegalovirus (strain 5035) (HHV-5) (Human herpesvirus 5) || 69166 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1106 || Human cytomegalovirus (strain 5160) (HHV-5) (Human herpesvirus 5) || 69167 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1107 || Human cytomegalovirus (strain 5508) (HHV-5) (Human herpesvirus 5) || 69168 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1108 || Human cytomegalovirus (strain PT) (HHV-5) (Human herpesvirus 5) || 69169 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1109 || Severe acute respiratory syndrome coronavirus (SARS-CoV) || 694009 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1110 || Human metapneumovirus (strain CAN97-83) (HMPV) || 694067 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1111 || Measles virus (strain Edmonston B) (MeV) (Subacute sclerose panencephalitis virus) || 70146 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1112 || Measles virus (strain Leningrad-16) (MeV) (Subacute sclerose panencephalitis virus) || 70147 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1113 || Measles virus (strain Philadelphia-26) (MeV) (Subacute sclerose panencephalitis virus) || 70148 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1114 || Measles virus (strain Edmonston-Zagreb vaccine) (MeV) (Subacute sclerose panencephalitis virus) || 70149 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1115 || Tick-borne encephalitis virus (strain Hypr) (TBEV) || 70733 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1116 || Aichi virus (AiV) || 72149 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1117 || Human cytomegalovirus (strain 119) (HHV-5) (Human herpesvirus 5) || 73483 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1118 || Human immunodeficiency virus type 2 subtype A (isolate KR) (HIV-2) || 73484 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1119 || Orf virus (strain NZ7) (OV NZ-7) || 73495 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1120 || Human associated cyclovirus 1 (isolate Homo sapiens/Pakistan/PK5510/2007) (HuCyV-1) (Cyclovirus PK5510) || 742918 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1121 || Torque teno virus 1 (isolate TA278) || 766182 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1122 || Torque teno mini virus 1 (isolate TLMV-CBD279) || 766183 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1123 || Torque teno midi virus 1 (isolate MD1-073) || 766184 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1124 || Dugbe virus (isolate ArD44313) (DUGV) || 766194 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1125 || Bunyavirus La Crosse (isolate Human/United States/L78/1978) || 796210 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1126 || Human papillomavirus type RTRX7 || 79691 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1127 || Human respiratory syncytial virus B (strain B1) || 79692 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1128 || Rotavirus A (isolate RVA/Human/Israel/RO1845/1993/G3P5A[3]) (RV-A) || 79694 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1129 || O&#039;nyong-nyong virus (strain Igbo Ora) (ONNV) (Igbo Ora virus) || 79899 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1130 || Lordsdale virus (strain GII/Human/United Kingdom/Lordsdale/1993) (Human enteric calicivirus) (Hu/NV/LD/1993/UK) || 82658 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1131 || Sapporo virus (strain Human/United Kingdom/Manchester/1993) (Hu/SV/Man/1993/UK) || 82659 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1132 || Epstein-Barr virus (strain P3HR-1) (HHV-4) (Human herpesvirus 4) || 82829 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1133 || Epstein-Barr virus (strain AG876) (HHV-4) (Human herpesvirus 4) || 82830 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1134 || Human immunodeficiency virus type 1 group M subtype B (isolate LW123) (HIV-1) || 82834 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1135 || Human herpesvirus 8 type P (isolate GK18) (HHV-8) (Kaposi&#039;s sarcoma-associated herpesvirus) || 868565 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1136 || Influenza A virus (strain A/Brevig Mission/1/1918 H1N1) (Influenza A virus (strain A/South Carolina/1/1918 H1N1)) || 88776 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1137 || Hepatitis B virus genotype C subtype ayr (isolate Human/Japan/Okamoto/-) (HBV-C) || 928302 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1138 || Hendra virus (isolate Horse/Autralia/Hendra/1994) || 928303 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1139 || Yaba monkey tumor virus (strain VR587) (YMTV) || 928314 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1140 || Influenza A virus (strain A/Goose/Guangdong/1/1996 H5N1 genotype Gs/Gd) || 93838 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1141 || Influenza B virus (strain B/Memphis/3/1989) || 98827 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1142 || Influenza B virus (strain B/Memphis/12/1997) || 98832 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1143 || SFTS phlebovirus (isolate SFTSV/Human/China/HB29/2010) (Severe fever with thrombocytopenia virus) || 992212 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1144 || Chiba virus (strain GI/Human/Japan/Chiba 407/1987) (Hu/NLV/Chiba 407/1987/JP) || 99565 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1145 || Aigai virus || 2849717 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1146 || Alenquer virus || 629726 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1147 || Anelloviridae sp. || 2055263 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1148 || Aura virus || 44158 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1149 || Banna virus || 77763 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1150 || Banzi virus || 38837 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1151 || Barmah Forest virus || 11020 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1152 || Batai virus || 80942 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1153 || Bhanja virus || 1213620 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1154 || Borna disease virus 1 || 1714621 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1155 || Bourbon virus || 1618189 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1156 || Bovine papular stomatitis virus || 129727 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1157 || Bundibugyo virus || 565995 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1158 || Bólè tick virus 3 || 1608042 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1159 || Běijí nairovirus || 2304647 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1160 || Cache Valley virus || 80935 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1161 || Caraparú virus || 192196 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1162 || Cardamones virus || 1437125 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1163 || Catú virus || 1678225 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1164 || Chagres virus || 629727 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1165 || Chandipura virus || 11272 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1166 || Chicken anemia virus || 12618 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1167 || Choclo virus || 169173 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1168 || Coclé virus || 1649829 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1169 || Colorado tick fever virus || 46839 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1170 || Ebola virus || 1570291 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1171 || Echarate virus || 1000646 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1172 || Ekpoma virus 1 || 1987020 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1173 || Ekpoma virus 2 || 1987021 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1174 || European bat lyssavirus 1 || 57482 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1175 || European bat lyssavirus 2 || 57483 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1176 || Fort Sherman virus || 273345 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1177 || GB virus-B || 2847087 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1178 || Gemycircularvirus sp. || 1983771 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1179 || Gibbon ape leukemia virus || 11840 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1180 || Guaroa virus || 80941 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1181 || Heartland virus || 1216928 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1182 || Human circovirus VS6600022 || 1525173 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1183 || Human genital-associated circular DNA virus-1 || 1488574 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1184 || Ilesha virus || 273341 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1185 || Ilhéus virus || 59563 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1186 || Ingwavuma virus || 159145 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1187 || JC polyomavirus || 10632 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1188 || Jamestown Canyon virus || 35511 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1189 || Japanese encephalitis virus || 11072 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1190 || Kadipiro virus || 104580 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1191 || Keystone virus || 35514 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1192 || Kyasanur Forest disease virus || 33743 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1193 || LI polyomavirus || 1965344 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1194 || La Crosse virus || 11577 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1195 || Langat virus || 11085 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1196 || Le Dantec virus || 318848 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1197 || Lángyá virus || 2971765 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1198 || MW polyomavirus || 1203539 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1199 || Madrid virus || 348013 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1200 || Maguari virus || 11575 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1201 || Maldonado virus || 1004889 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1202 || Marituba virus || 292278 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1203 || Mayaro virus || 59301 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1204 || Melao virus || 35515 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1205 || Merkel cell polyomavirus || 493803 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1206 || Middelburg virus || 11023 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1207 || Middle East respiratory syndrome-related coronavirus || 1335626 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1208 || Moloney murine leukemia virus || 11801 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1209 || Mundri virus || 2913478 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1210 || Murray Valley encephalitis virus || 11079 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1211 || Nairobi sheep disease virus || 194540 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1212 || Nelson Bay orthoreovirus || 118027 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1213 || Ngari virus || 273357 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1214 || Norwalk virus || 11983 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1215 || Omsk hemorrhagic fever virus || 12542 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1216 || Oriboca virus || 192199 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1217 || Oropouche virus || 118655 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1218 || Orungo virus || 40058 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1219 || Oya virus || 181003 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1220 || Powassan virus || 11083 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1221 || Punta Toro virus || 11587 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1222 || Rift Valley fever virus || 11588 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1223 || Ross River virus || 11029 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1224 || SAfia-838D_Ambidensovirus || 3070158 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1225 || STL polyomavirus || 1277649 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1226 || Sabiá virus || 2907957 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1227 || Sapporo virus || 95342 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1228 || Semliki Forest virus || 11033 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1229 || Sindbis virus || 11034 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1230 || Sosuga virus || 1452514 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1231 || St. Louis encephalitis virus || 11080 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1232 || Sōnglǐng virus || 2795181 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1233 || TTV-like mini virus || 93678 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1234 || Tacaiuma virus || 611707 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1235 || Tahyňa virus || 45270 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1236 || Tanapox virus || 99000 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1237 || Tataguine virus || 1623310 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1238 || Tembusu virus || 64293 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1239 || Toscana virus || 11590 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1240 || Trichodysplasia spinulosa-associated polyomavirus || 862909 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1241 || Tǎchéng tick virus 1 || 1608083 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1242 || Tǎchéng tick virus 2 || 1608084 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1243 || Tǎchéng tick virus 5 || 1608087 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1244 || Umbre virus || 552554 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1245 || Usutu virus || 64286 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1246 || WU polyomavirus || 440266 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1247 || Wesselsbron virus || 164416 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1248 || Yezo virus || 2825847 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1249 || Zika virus || 64320 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1250 || adeno-associated virus 2 || 10804 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1251 || avastrovirus 2 || 1239438 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1252 || avian gyrovirus 2 || 1002273 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1253 || avian paramyxovirus 1 || 2560319 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1254 || bovine leukemia virus || 11901 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1255 || bovine parvovirus 3 || 172297 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1256 || bovine viral diarrhea virus 1 || 11099 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1257 || bovine viral diarrhea virus 2 || 54315 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1258 || camelpox virus || 28873 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1259 || chimpanzee smacovirus || 1603067 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1260 || cosavirus A1 || 2757769 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1261 || cosavirus B1 || 2849707 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1262 || cosavirus D1 || 586468 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1263 || cosavirus E1 || 2849712 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1264 || cosavirus F1 || 2849713 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1265 || cowpox virus || 10243 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1266 || coxsackievirus A2 || 33757 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1267 || coxsackievirus B3 || 12072 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1268 || dengue virus || 12637 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1269 || ectromelia virus || 12643 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1270 || enterovirus D68 || 42789 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1271 || equine torovirus || 329862 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1272 || gyrovirus 4 || 1214955 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1273 || gyrovirus GyV3 || 1163715 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1274 || gyrovirus Tu243 || 1415627 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1275 || gyrovirus Tu789 || 1415628 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1276 || hepatitis D virus 1 || 2847173 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1277 || hepatitis D virus 2 || 2847174 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1278 || hepatitis D virus 3 || 2847175 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1279 || hepatitis D virus 4 || 2847176 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1280 || hepatitis E virus || 291484 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1281 || human adenovirus 40 || 28284 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1282 || human adenovirus 52 || 332179 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1283 || human associated cyclovirus 1 || 2038719 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1284 || human associated cyclovirus 10 || 2038728 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1285 || human associated cyclovirus 11 || 1987745 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1286 || human associated cyclovirus 12 || 2169855 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1287 || human associated cyclovirus 2 || 2038720 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1288 || human associated cyclovirus 3 || 2038721 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1289 || human associated cyclovirus 4 || 2038722 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1290 || human associated cyclovirus 5 || 2038723 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1291 || human associated cyclovirus 6 || 2038724 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1292 || human associated cyclovirus 7 || 2038725 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1293 || human associated cyclovirus 8 || 2038726 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1294 || human associated cyclovirus 9 || 2038727 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1295 || human associated gemykibivirus 1 || 2004487 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1296 || human associated gemykibivirus 2 || 2004957 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1297 || human associated gemykibivirus 3 || 2004960 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1298 || human associated gemykibivirus 4 || 2004961 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1299 || human associated gemykibivirus 5 || 2004962 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1300 || human associated gemyvongvirus 1 || 1985415 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1301 || human associated porprismacovirus || 2530494 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1302 || human associated porprismacovirus 3 || 2496633 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1303 || human bocavirus 1 || 689403 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1304 || human bocavirus 2c || 2773471 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1305 || human circovirus 1 || 3025750 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1306 || human feces smacovirus 2 || 1820158 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1307 || human feces smacovirus 3 || 1820159 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1308 || human metapneumovirus || 162145 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1309 || human papillomavirus 10 || 333759 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1310 || human papillomavirus 101 || 915425 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1311 || human papillomavirus 109 || 915426 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1312 || human papillomavirus 112 || 915427 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1313 || human papillomavirus 116 || 915428 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1314 || human papillomavirus 121 || 915429 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1315 || human papillomavirus 126 || 1055684 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1316 || human papillomavirus 127 || 746832 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1317 || human papillomavirus 128 || 931209 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1318 || human papillomavirus 131 || 909330 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1319 || human papillomavirus 135 || 1070408 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1320 || human papillomavirus 137 || 1070410 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1321 || human papillomavirus 144 || 1070417 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1322 || human papillomavirus 156 || 1248396 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1323 || human papillomavirus 16 || 333760 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1324 || human papillomavirus 163 || 1315262 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1325 || human papillomavirus 167 || 1420545 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1326 || human papillomavirus 172 || 1434987 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1327 || human papillomavirus 175 || 1434782 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1328 || human papillomavirus 178 || 1478160 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1329 || human papillomavirus 18 || 333761 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1330 || human papillomavirus 184 || 1472343 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1331 || human papillomavirus 187 || 1851130 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1332 || human papillomavirus 201 || 1682340 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1333 || human papillomavirus 204 || 1650736 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1334 || human papillomavirus 32 || 333763 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1335 || human papillomavirus 49 || 10616 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1336 || human papillomavirus 71 || 120686 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1337 || human papillomavirus 88 || 337054 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1338 || human papillomavirus 92 || 211787 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1339 || human papillomavirus 96 || 247269 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1340 || human parainfluenza virus 4a || 11224 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1341 || human parvovirus 4 || 289365 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1342 || human parvovirus B19 || 10798 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1343 || human pegivirus || 1758225 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1344 || human polyomavirus 6 || 746830 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1345 || human polyomavirus 7 || 746831 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1346 || human polyomavirus 9 || 943908 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1347 || human respiratory-associated brisavirus || 3116878 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1348 || human smacovirus 1 || 1595998 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1349 || influenza A virus || 11320 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1350 || influenza C virus || 11552 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1351 || louping ill virus || 11086 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1352 || mamastrovirus 1 || 1239565 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1353 || mamastrovirus 5 || 1239569 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1354 || mamastrovirus 6 || 1239570 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1355 || mamastrovirus 8 || 1239572 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1356 || mamastrovirus 9 || 1239573 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1357 || mammalian orthoreovirus 3 || 538123 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1358 || molluscum contagiosum virus || 10279 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1359 || mouse mammary tumor virus || 11757 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1360 || orf virus || 10258 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1361 || parainfluenza virus 5 || 2905673 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1362 || poliovirus 1 || 12080 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1363 || porcine circovirus 1 || 133704 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1364 || porcine circovirus 2 || 85708 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1365 || porcine coronavirus HKU15 || 1159905 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1366 || porcine torovirus || 237020 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1367 || primate T-lymphotropic virus 1 || 194440 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1368 || primate T-lymphotropic virus 2 || 194441 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1369 || primate T-lymphotropic virus 3 || 194443 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1370 || pseudocowpox virus || 129726 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1371 || rat hepatitis E virus || 2848048 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1372 || rhinovirus A1 || 573824 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1373 || rhinovirus B3 || 44130 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1374 || rhinovirus C1 || 1219416 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1375 || rosavirus A2 || 1511807 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1376 || rotavirus A || 28875 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1377 || rotavirus B || 28876 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1378 || rotavirus C || 36427 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1379 || rotavirus H || 1348384 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1380 || rubella virus || 11041 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1381 || salivirus A1 || 2847280 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1382 || sandfly fever Naples virus || 206160 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1383 || sandfly fever Sicilian virus || 28292 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1384 || severe acute respiratory syndrome coronavirus || 2901879 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1385 || severe fever with thrombocytopenia syndrome virus || 1003835 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1386 || simian foamy virus Pan troglodytes schweinfurthii || 2849769 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1387 || simian foamy virus Pan troglodytes troglodytes || 2849770 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1388 || simian immunodeficiency virus || 11723 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1389 || simian parvovirus || 31598 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1390 || tick-borne encephalitis virus || 11084 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1391 || torque teno midi virus 1 || 687379 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1392 || torque teno midi virus 10 || 2065051 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1393 || torque teno midi virus 11 || 2065052 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1394 || torque teno midi virus 12 || 2065053 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1395 || torque teno midi virus 13 || 2065054 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1396 || torque teno midi virus 14 || 2065055 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1397 || torque teno midi virus 15 || 2065056 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1398 || torque teno midi virus 2 || 687380 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1399 || torque teno midi virus 3 || 2065044 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1400 || torque teno midi virus 4 || 2065045 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1401 || torque teno midi virus 5 || 2065046 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1402 || torque teno midi virus 6 || 2065047 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1403 || torque teno midi virus 7 || 2065048 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1404 || torque teno midi virus 8 || 2065049 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1405 || torque teno midi virus 9 || 2065050 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1406 || torque teno mini virus 1 || 687369 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1407 || torque teno mini virus 10 || 2065036 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1408 || torque teno mini virus 11 || 2065037 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1409 || torque teno mini virus 12 || 2065038 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1410 || torque teno mini virus 18 || 1859149 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1411 || torque teno mini virus 2 || 687370 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1412 || torque teno mini virus 3 || 687371 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1413 || torque teno mini virus 4 || 687372 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1414 || torque teno mini virus 5 || 687373 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1415 || torque teno mini virus 6 || 687374 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1416 || torque teno mini virus 7 || 687375 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1417 || torque teno mini virus 8 || 687376 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1418 || torque teno mini virus 9 || 687377 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1419 || torque teno mini virus ALA22 || 1535290 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1420 || torque teno mini virus ALH8 || 1535291 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1421 || torque teno mini virus SHA || 2057931 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1422 || torque teno virus || 68887 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1423 || torque teno virus 1 || 687340 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1424 || torque teno virus 10 || 687349 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1425 || torque teno virus 13 || 687352 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1426 || torque teno virus 15 || 687354 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1427 || torque teno virus 17 || 687356 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1428 || torque teno virus 18 || 687357 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1429 || torque teno virus 19 || 687358 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1430 || torque teno virus 2 || 687341 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1431 || torque teno virus 20 || 687359 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1432 || torque teno virus 21 || 687360 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1433 || torque teno virus 24 || 687363 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1434 || torque teno virus 29 || 687368 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1435 || torque teno virus 3 || 687342 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1436 || torque teno virus 5 || 687344 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1437 || torque teno virus 6 || 687345 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1438 || torque teno virus 7 || 687346 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1439 || torque teno virus 9 || 687348 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1440 || transmissible gastroenteritis virus || 11149 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1441 || variegated squirrel bornavirus 1 || 1885248 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1442 || vesicular exanthema of swine virus || 35612 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1443 || vesicular stomatitis Indiana virus || 11277 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1444 || yellow fever virus || 11089 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1445 || Enterovirus D || 138951 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1446 || Human mastadenovirus C || 129951 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1447 || Human mastadenovirus D || 130310 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1448 || Human mastadenovirus E || 130308 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1449 || Human orthorubulavirus 2 || 2560525 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1450 || Human orthorubulavirus 4 || 2560526 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1451 || Human parainfluenza virus 4b || 11226 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1452 || Human Respiratory syncytial virus 9320 || 253182 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1453 || Human respiratory syncytial virus A || 208893 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1454 || Human respiratory syncytial virus B || 208895 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1455 || Human respirovirus 1 || 12730 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1456 || Human respirovirus 3 || 11216 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1457 || rhinovirus A || 147711 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1458 || rhinovirus A101 || 1219381 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1459 || rhinovirus A103 || 1033850 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1460 || rhinovirus A105 || 2777143 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1461 || rhinovirus A11 || 39767 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1462 || rhinovirus A12 || 147684 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1463 || rhinovirus A13 || 185893 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1464 || rhinovirus A1B || 2777147 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1465 || rhinovirus A2 || 12130 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1466 || rhinovirus A20 || 147675 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1467 || rhinovirus A21 || 44128 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1468 || rhinovirus A22 || 185896 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1469 || rhinovirus A23 || 12135 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1470 || rhinovirus A24 || 185897 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1471 || rhinovirus A25 || 185898 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1472 || rhinovirus A28 || 147672 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1473 || rhinovirus A29 || 44129 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1474 || rhinovirus A30 || 185901 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1475 || rhinovirus A31 || 185902 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1476 || rhinovirus A34 || 185905 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1477 || rhinovirus A39 || 185907 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1478 || rhinovirus A40 || 185908 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1479 || rhinovirus A46 || 167324 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1480 || rhinovirus A47 || 185911 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1481 || rhinovirus A49 || 44131 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1482 || rhinovirus A53 || 185913 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1483 || rhinovirus A54 || 185914 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1484 || rhinovirus A58 || 44133 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1485 || rhinovirus A59 || 185918 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1486 || rhinovirus A60 || 185919 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1487 || rhinovirus A61 || 185920 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1488 || rhinovirus A63 || 185921 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1489 || rhinovirus A66 || 185923 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1490 || rhinovirus A67 || 185924 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1491 || rhinovirus A68 || 185925 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1492 || rhinovirus A78 || 147685 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1493 || rhinovirus A80 || 185934 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1494 || rhinovirus A85 || 185937 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1495 || rhinovirus A9 || 185891 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1496 || rhinovirus A94 || 185941 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1497 || rhinovirus B || 147712 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1498 || rhinovirus B100 || 2777136 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1499 || rhinovirus B101 || 2777137 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1500 || rhinovirus B14 || 12131 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1501 || rhinovirus B27 || 185900 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1502 || rhinovirus B4 || 185889 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1503 || rhinovirus B42 || 147683 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1504 || rhinovirus B6 || 147681 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1505 || rhinovirus B70 || 185926 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1506 || rhinovirus B91 || 167325 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1507 || rhinovirus C || 463676 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1508 || rhinovirus C11 || 1240004 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1509 || rhinovirus C13 || 2777132 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1510 || rhinovirus C15 || 1418033 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1511 || rhinovirus C17 || 1219404 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1512 || rhinovirus C19 || 1418043 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1513 || rhinovirus C2 || 1219376 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1514 || rhinovirus C20 || 1418062 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1515 || rhinovirus C23 || 2045067 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1516 || rhinovirus C26 || 2045069 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1517 || rhinovirus C28 || 1418042 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1518 || rhinovirus C3 || 1219377 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1519 || rhinovirus C31 || 2045073 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1520 || rhinovirus C33 || 2045074 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1521 || rhinovirus C34 || 2045075 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1522 || rhinovirus C36 || 1418041 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1523 || rhinovirus C40 || 1219406 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1524 || rhinovirus C42 || 1219407 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1525 || rhinovirus C43 || 1219413 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1526 || rhinovirus C44 || 2045079 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1527 || rhinovirus C55 || 2555550 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1528 || rhinovirus C56 || 2094116 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1529 || rhinovirus C6 || 1219378 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1530 || rhinovirus C7 || 1219379 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1531 || rhinovirus C8 || 1219380 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1532 || rhinovirus C9 || 1220265 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1533 || Orthomarburgvirus marburgense || 3052505 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1534 || Orthonairovirus haemorrhagiae || 3052518 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1535 || Orthonairovirus yezoense || 3060506 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1536 || Sudan ebolavirus || 186540 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1537 || Tai Forest ebolavirus || 186541 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1538 || Zaire ebolavirus || 186538 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1539 || Betapolyomavirus tertihominis || 1891764 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1540 || Cardiovirus B || 1821750 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1541 || Coxsackievirus A16 || 31704 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1542 || Coxsackievirus A21 || 12069 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1543 || Coxsackievirus A4 || 42785 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1544 || Coxsackievirus A6 || 86107 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1545 || Coxsackievirus A9 || 12067 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1546 || Coxsackievirus B1 || 12071 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1547 || Coxsackievirus B2 || 82639 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1548 || Coxsackievirus B4 || 12073 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1549 || Coxsackievirus B5 || 12074 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1550 || dengue virus type 1 || 11053 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1551 || dengue virus type 3 || 11069 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1552 || Eastern equine encephalitis virus || 11021 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1553 || Echovirus E11 || 12078 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1554 || Echovirus E16 || 47504 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1555 || Echovirus E18 || 47506 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1556 || Echovirus E25 || 45101 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1557 || Echovirus E30 || 41846 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1558 || Echovirus E31 || 47513 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1559 || Echovirus E4 || 35295 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1560 || Echovirus E6 || 12062 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1561 || Echovirus E7 || 46018 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1562 || Echovirus E9 || 12060 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1563 || Hepatovirus A || 12092 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1564 || Human adenovirus 1 || 10533 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1565 || Human adenovirus 106 || 3025491 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1566 || Human adenovirus 108 || 3043599 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1567 || Human adenovirus 11 || 10541 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1568 || Human adenovirus 14 || 10521 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1569 || Human adenovirus 21 || 32608 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1570 || Human adenovirus 31 || 10529 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1571 || Human adenovirus 34 || 10548 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1572 || Human adenovirus 35 || 10522 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1573 || Human adenovirus 41 || 10524 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1574 || Human adenovirus 51 || 245072 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1575 || Human adenovirus 56 || 880565 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1576 || Human adenovirus 6 || 10534 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1577 || Human adenovirus 64 || 1145295 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1578 || Human adenovirus 7 || 10519 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1579 || Human adenovirus 89 || 3033760 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1580 || Human adenovirus B3 || 45659 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1581 || Human adenovirus C108 || 3088344 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1582 || Human adenovirus D37 || 52275 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1583 || Human betaherpesvirus 5 || 10359 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1584 || human gammaherpesvirus 4 || 10376 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1585 || Human parechovirus 1B || 3092269 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1586 || Lyssavirus rabies || 11292 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1587 || Marburg virus || 33727 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1588 || Measles virus genotype B3 || 658048 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1589 || Measles virus genotype D8 || 170528 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1590 || Metapneumovirus hominis || 694067 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1591 || Morbillivirus hominis || 3052345 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1592 || Mumps virus genotype G || 1384672 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1593 || Norovirus GII || 122929 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1594 || Orthoflavivirus encephalitidis || 3052465 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1595 || Orthoflavivirus nilense || 3048448 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1596 || Orthopoxvirus monkeypox || 3431483 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1597 || Respiratory syncytial virus type A || 1439707 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1598 || Roseomonas sp. FDAARGOS_362 || 2018065 ||  || FDA-ARGOS || &lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Eukaryotic Pathogens ==&lt;br /&gt;
&amp;lt;div style=&amp;quot;height: 500px; overflow-y: auto;&amp;quot;&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
! # !! Organism Name !! NCBI_taxid !! Source_NIAID !! Source_ARGOS !! Source_WHO&lt;br /&gt;
|-&lt;br /&gt;
| 1 || Coccidioides immitis || 5501 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 2 || Coccidioides posadasii || 199306 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 3 || Microsporidia || 6029 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 4 || Mucorales || 4827 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 5 || Balamuthia mandrillaris || 66527 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 6 || Cryptosporidium parvum || 5807 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 7 || Cyclospora cayetanensis || 88456 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 8 || Entamoeba histolytica || 5759 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 9 || Giardia lamblia || 5741 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 10 || Naegleria fowleri || 5763 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 11 || Toxoplasma gondii || 5811 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 12 || Aspergillus flavus || 5059 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 13 || Aspergillus fumigatus || 746128 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 14 || Blastomyces dermatitidis || 559297 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 15 || Candida albicans || 5476 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 16 || Candida parapsilosis || 5480 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 17 || Candidozyma auris || 498019 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 18 || Fusarium acuminatum || 5515 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 19 || Fusarium avenaceum || 40199 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 20 || Fusarium culmorum || 5516 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 21 || Fusarium graminearum || 5518 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 22 || Fusarium meridionale || 282269 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 23 || Fusarium odoratissimum || 2502994 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 24 || Fusarium oxysporum || 327505 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 25 || Fusarium oxysporum f. sp. albedinis || 72712 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 26 || Fusarium oxysporum f. sp. cepae || 396571 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 27 || Fusarium phialophorum || 2750198 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 28 || Fusarium pseudograminearum || 101028 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 29 || Fusarium verticillioides || 117187 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 30 || Fusobacteria necrophorum || 143387 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 31 || Nakaseomyces glabratus(Candida glabrata) || 5478 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 32 || Rhizopus delemar || 246409 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 33 || Rhizopus microsporus || 58291 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 34 || Rhizopus microsporus var. microsporus || 86635 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 35 || Actinomyces naeslundii || 1655 ||  ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 36 || Actinomyces oris || 544580 ||  ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 37 || Aspergillus niger || 5061 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 38 || Saccharomyces cerevisiae || 4932 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 39 || Cryptococcus neoformans || 5207 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 40 || Histoplasma spp. || 5036 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 41 || Candida tropicalis || 5482 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 42 || Scedosporium || 41687 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 43 || Lomentospora prolificans || 41688 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 44 || Pichia kudriavzevii(Candida krusei) || 4909 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 45 || Cryptococcus gattii || 37769 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 46 || Talaromyces marneffei || 37727 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 47 || Pneumocystis jirovecii || 42068 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 48 || Pneumocystis jirovecii RU7 || 1408657 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 49 || Paracoccidioides || 38946 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|}&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Summer_2026&amp;diff=1254</id>
		<title>Volunteership Summer 2026</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Summer_2026&amp;diff=1254"/>
		<updated>2026-04-19T20:45:35Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2026 Summer Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Application Deadline&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
May 15, 2026 | 12:00 PM ET&lt;br /&gt;
&lt;br /&gt;
Please email your updated resume and projects in order of preference. Acceptance letter/email will be sent to candidates latest the day after the kick-off meeting.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Date TBD | 11:00 AM to 12:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: June 1, 2026 –  July 31, 2026&#039;&#039;&#039; (9 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[[Volunteership Spring 2026|Spring 2026 Volunteership]]&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 20 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Volunteers should be responsive to email/slack communications. &lt;br /&gt;
# 30-minute Zoom meetings (during regular work hours) once a week or every other week with the assigned project point of contact (POC).&lt;br /&gt;
# Volunteers are expected to attend volunteership events such as a symposium.&lt;br /&gt;
# Attend some lectures or seminars remotely (max 4-5).&lt;br /&gt;
# This volunteership does not allow for vacation time.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; &#039;&#039;&#039;If the scrum is not updated for 2 consecutive working days,&#039;&#039;&#039; &#039;&#039;&#039;the candidate will be automatically dropped from the program.&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteership Support ===&lt;br /&gt;
Each group has dedicated Points of Contact (PoCs) who are your main resource for questions and guidance.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;How to Get Help&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Slack Group Channel&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Use your group Slack channel as the primary place to ask questions and share ideas. This is strongly encouraged so everyone can learn together. Direct messages to PoCs are discouraged.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Office Hours&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
PoCs will host group office hours every two weeks once the program begins. These sessions are a space to ask questions, discuss ideas, and collaborate live.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;How to get support&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
- Use the Slack channel as your first point of contact (if you are not yet in the Slack channel, then email your PoC at mazumder_lab AT gwu.edu)&lt;br /&gt;
&lt;br /&gt;
- Follow up with your PoCs in the group channel&lt;br /&gt;
&lt;br /&gt;
- Come prepared with questions for office hours&lt;br /&gt;
&lt;br /&gt;
- Participate in discussions and support your peers&lt;br /&gt;
&lt;br /&gt;
Our goal is to create an open, collaborative environment where everyone can learn and contribute.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Summer 2026. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email &#039;&#039;mazumder_lab@gwu.edu&#039;&#039; your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen. &amp;lt;u&amp;gt;We are also looking for individuals who have previously worked with us to take on a coordinator role&amp;lt;/u&amp;gt;.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project ====&lt;br /&gt;
POC: Jeet Vora (primary), Maria Kim, Cyrus Au-Yeung&lt;br /&gt;
&lt;br /&gt;
[https://biomarkerkb.org/about/ BiomarkerKB] is a biomedical knowledgebase project focused on harmonizing and structuring biomarker knowledge from scientific literature and public resources. We are currently recruiting individuals with experience working with LLMs (e.g. Claude, ChatGPT) to support the following tasks:&lt;br /&gt;
&lt;br /&gt;
# &#039;&#039;&#039;Validation of existing published biomarkers from scientific literature (JV, MK, CA)&#039;&#039;&#039;&lt;br /&gt;
#* Review and validate previously reported biomarkers by checking the original literature, confirming evidence support, and standardizing biomarker annotations&lt;br /&gt;
#* Assess the evidence strength of biomarkers and identify additional literature to strengthen the support for biomarker claims&lt;br /&gt;
# &#039;&#039;&#039;Curation of novel biomarkers from scientific literature (MK)&#039;&#039;&#039;&lt;br /&gt;
#* Curate high-quality biomarkers for a selected disease area, organize the findings into a structured dataset&lt;br /&gt;
#* Standardize biomarker representations using controlled vocabularies and ontologies and classify biomarkers by their biomarker types&lt;br /&gt;
#* Construct and test-query a disease-specific biomarker knowledge graph (optional)&lt;br /&gt;
# &#039;&#039;&#039;Electronic Health Records Normal Entity Data Integration (JV)&#039;&#039;&#039;&lt;br /&gt;
#* Identify relevant EHR data elements (lab tests, diagnoses, procedures)&lt;br /&gt;
#* Map entities to standard terminologies (e.g., SNOMED CT, LOINC, ICD codes)&lt;br /&gt;
#* Resolve ambiguities and inconsistencies in mapping, clinical terminology&lt;br /&gt;
# &#039;&#039;&#039;Front-end testing for BiomarkerKB.org (MK, JV)&#039;&#039;&#039;&lt;br /&gt;
#* Test the BiomarkerKB web interface for functionality and data presentation, and document issues / improvement suggestions for the development team&lt;br /&gt;
# &#039;&#039;&#039;Benchmarking and LLM-based biomarker extraction (optional*) (CA)&#039;&#039;&#039;&lt;br /&gt;
#* Construct manually curated biomarker reference sets in the glycobiology domain to support benchmarking of LLM-based knowledge extraction pipelines.&lt;br /&gt;
#* Apply an LLM workflow to extract disease-specific biomarkers from literature and comparing model outputs against the manually curated benchmark sets&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note:&#039;&#039; Participation in the benchmarking and LLM-based biomarker extraction subproject depends on sufficient progress in either &#039;&#039;&#039;task 1&#039;&#039;&#039; or &#039;&#039;&#039;task 2&#039;&#039;&#039;. Volunteers are expected to first complete either validation of an LLM-extracted glycobiology subset or comprehensive curation of a disease-specific biomarker set before beginning this component. Because this volunteership is structured around a 20-hour-per-week commitment, participation in this part is not guaranteed.&lt;br /&gt;
&lt;br /&gt;
Individuals interested in this opportunity may reach out to Jeet Vora ([mailto:jeetvora@gwu.edu jeetvora@gwu.edu]) for project details.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;2. GlycoSiteMiner Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Kate Warner  &lt;br /&gt;
&lt;br /&gt;
GlycoSiteMiner (PMID: [https://pubmed.ncbi.nlm.nih.gov/40401984/ 40401984]) is a large language model (LLM)-based tool developed by the GlyGen team to automate a literature-mining pipeline that extracts experimentally validated, protein sequence–specific glycosylation sites from PubMed abstracts. By leveraging natural language processing, GlycoSiteMiner accelerates the identification of glycosylation evidence that would otherwise require extensive manual review.&lt;br /&gt;
&lt;br /&gt;
The objective of this project is to validate these text-mined entries and curate them into structured datasets using GlyTableMaker (https://glygen.ccrc.uga.edu/tablemaker), a companion tool designed to support the deposition of glycans and glycoproteins, assignment of standardized metadata, and generation of high-quality Excel/CSV tables. This process ensures that extracted information is accurate, consistent, and suitable for integration into GlyGen’s knowledgebase.&lt;br /&gt;
&lt;br /&gt;
This opportunity provides hands-on experience in biocuration workflows, including data validation, standardization, and quality control. Participants will deepen their understanding of glycobiology concepts, gain practical experience working with biological databases, and develop skills in evaluating and refining LLM-generated outputs for scientific applications.&lt;br /&gt;
&lt;br /&gt;
==== 3. GlyGen Biocuration Project ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding; however, the data contained within them remains highly valuable to the research community. Integrating these legacy datasets into modern databases or knowledgebases, such as GlyGen, presents a significant challenge because much of the associated metadata (e.g., species, tissue, disease, cell line) is recorded as free-text that does not conform to the standardized dictionaries and ontologies used by current resources.&lt;br /&gt;
&lt;br /&gt;
To address this challenge, this project will leverage large language models (LLMs) to automate the mapping of free-text metadata from legacy databases, specifically CarbBank and CFG, to standardized accessions in authoritative resources such as NCBI Taxonomy, Disease Ontology, and Cellosaurus. The LLM-based workflow will identify and normalize synonyms, abbreviations, and spelling variants (e.g., “human,” “man,” or “h. sapiens” mapped to Homo sapiens), enabling scalable and reproducible metadata harmonization that would otherwise require extensive manual curation. The LLM tasks will be performed using OpenAI resources integrated into the GlyGen curation pipeline. The project involves the development of Python scripts to read and write data, invoke the OpenAI API and compare results with manual curated data. Another aspect of the work is the development and finetunning of a prompt for ChatGPT to ensure reliable and accurate mapping is produced.&lt;br /&gt;
&lt;br /&gt;
While the mapping process will be largely automated, manual validation will be incorporated as a quality-control step to assess model performance, verify correctness, and identify edge cases requiring refinement. This hybrid approach significantly reduces curator burden while ensuring high-quality, ontology-aligned annotations.&lt;br /&gt;
&lt;br /&gt;
The goal of this effort is to migrate and modernize datasets from CarbBank and CFG, making them interoperable with GlyGen and other contemporary glycoinformatics resources through a scalable, AI-assisted curation strategy.&lt;br /&gt;
&lt;br /&gt;
Two projects:&lt;br /&gt;
&lt;br /&gt;
# Taking predicted sites and curating them using table maker&lt;br /&gt;
# Website testing (all volunteers)&lt;br /&gt;
&lt;br /&gt;
For any questions, please contact Rene Ranzinger (rene@ccrc.uga.edu) or Kate Warner (k.warner1@email.gwu.edu).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;4. GlyGen Publication Analysis Project&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 5. PredictMod Machine Learning (ML) Modeling Project ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeely&lt;br /&gt;
&lt;br /&gt;
Volunteers will conduct ML modeling using publicly-available -omics datasets that were previously identified (see our [[Recommended Publications for Intervention Outcome Prediction Models|Recommended Publications for IOPMs]] page). This volunteership will involve data harmonization, model training, and pipeline documentation.&lt;br /&gt;
&lt;br /&gt;
Tasks associated with this project include:&lt;br /&gt;
&lt;br /&gt;
# Exploring and understanding the data found in relevant PMIDs that can be used to train intervention outcome prediction models.&lt;br /&gt;
# Preparing the data for model training and model performance evaluation&lt;br /&gt;
# Testing the modeling tutorial, PredictMod platform, and associated project tools&lt;br /&gt;
# Documentation of the ML pipeline and testing results&lt;br /&gt;
&lt;br /&gt;
Deliverables for this project include:&lt;br /&gt;
&lt;br /&gt;
# ML-ready datasets&lt;br /&gt;
# Trained model scripts&lt;br /&gt;
# Pipeline documentation captured in BioCompute Objects (BCOs) and testing reports&lt;br /&gt;
# Volunteership documentation (final report, progress updates, symposium presentation)&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu. Please note that this project requires attendance at biweekly meetings and a final presentation of your work.&lt;br /&gt;
&lt;br /&gt;
==== 6. BioCompute Objects User Research Project ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeely&lt;br /&gt;
&lt;br /&gt;
Volunteers will conduct individual audits and user researcher to improve the human readability of BioCompute Objects (BCOs) and the project documentation. This volunteership will involve user research, prototyping, and documentation.&lt;br /&gt;
&lt;br /&gt;
Tasks associated with the project include:&lt;br /&gt;
&lt;br /&gt;
# Reviewing existing documentation to gain a comprehensive understanding of BioCompute Objects, their relevance to bioinformatics, and key user personas. The volunteer will identify and report gaps in the current documentation.&lt;br /&gt;
# Conducting user research to understand pain points and desired outcomes. The volunteer will develop user stories based on interviews with BCO users.&lt;br /&gt;
# Prototyping improvements to the BCO documentation and/or portal based on user stories. This could involve visual diagrams, wiki restructuring, or decision logs.&lt;br /&gt;
&lt;br /&gt;
Deliverables will include:&lt;br /&gt;
&lt;br /&gt;
# User research report with user story maps&lt;br /&gt;
# BCO documentation improvement plan&lt;br /&gt;
# Volunteership documentation (final report, progress updates, symposium presentation)&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu. Please note that this project requires attendance at biweekly meetings and a final presentation of your work.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;7. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This volunteership is currently paused.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 9-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program. Additional recognition will be given to the top three volunteers with exceptional presentations at the end of the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!POC Assigned&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|Sahana Adusumilli&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Jeet Vora&lt;br /&gt;
|Review EHR Normal Ranges&lt;br /&gt;
|-&lt;br /&gt;
|Abhirama Chillara&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Jeet Vora/Maria&lt;br /&gt;
|TBD&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Returning volunteer.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;nowiki&amp;gt;**&amp;lt;/nowiki&amp;gt;Not directly involved in the semester curriculum; long-term volunteer.&lt;br /&gt;
&lt;br /&gt;
== Summer 2026 Symposium ==&lt;br /&gt;
The Summer symposium will be held virtually.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; TBD&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Time:&#039;&#039;&#039; 4 - 6 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Zoom Link&#039;&#039;&#039; - TBA&lt;br /&gt;
&lt;br /&gt;
=== Agenda (All times are in Eastern Standard Time) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Time&lt;br /&gt;
!Project&lt;br /&gt;
!Presentation Title&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |&lt;br /&gt;
|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=GW_Bioinformatics_Network&amp;diff=1246</id>
		<title>GW Bioinformatics Network</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=GW_Bioinformatics_Network&amp;diff=1246"/>
		<updated>2026-04-10T17:33:04Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Upcoming Meetings */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Contents ==&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
== About ==&lt;br /&gt;
The GW Bioinformatics Network was established in the fall of 2024 when a group of principal investigators came together to discuss their shared research interests and explore opportunities for improved collaboration.  &lt;br /&gt;
&lt;br /&gt;
== Upcoming Meetings ==&lt;br /&gt;
=== 2026 Fall Meeting (2nd GW-Bioinformatics Symposium) ===&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; October 2nd. &lt;br /&gt;
&#039;&#039;&#039;Overall idea:&#039;&#039;&#039; All-day meeting/conference. We will have external and internal speakers, posters, and talks. Students, staff, and faculty are encouraged to join.  &lt;br /&gt;
&#039;&#039;&#039;Link:&#039;&#039;&#039; TBD&lt;br /&gt;
&lt;br /&gt;
== Past Meetings ==&lt;br /&gt;
[[File:sym.jpg|thumb|right|250px|Attendee picture | 1st Bioinformatics Retreat (2024 Fall)]]&lt;br /&gt;
[[File:Notes.png|thumb|right|250px|Attendee picture | Attendee notes | 1st Bioinformatics Retreat(2024 Fall)]]&lt;br /&gt;
=== 2025 Spring Meeting (GW-Bioinformatics Symposium) ===&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; April 29th. &lt;br /&gt;
&#039;&#039;&#039;Overall idea:&#039;&#039;&#039; All-hands, all-day meeting/conference. We will have posters and talks. Students, staff, and faculty will be encouraged to join.  &lt;br /&gt;
&#039;&#039;&#039;Link:&#039;&#039;&#039; [https://hivelab.biochemistry.gwu.edu/wiki/2025_Bioinformatics_Symposium 2025 Bioinformatics Symposium]&lt;br /&gt;
=== 2024 Fall Meeting ===&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; 10/31/2024  &lt;br /&gt;
&#039;&#039;&#039;Fall Retreat (PD/PI-Only):&#039;&#039;&#039; A smaller meeting dedicated to discussions about proposals, funding, and our strategic mission.  &lt;br /&gt;
&#039;&#039;&#039;Notes:&#039;&#039;&#039; Notes from Fall 2024 meeting.&lt;br /&gt;
&lt;br /&gt;
== LISTSERV ==&lt;br /&gt;
Anyone interested in bioinformatics at GW can subscribe. To subscribe to the listserv, which we can use to share funding, collaboration, and training opportunities, please follow these steps:  &lt;br /&gt;
&lt;br /&gt;
# Go to your email program and choose &#039;&#039;&#039;Compose&#039;&#039;&#039;. Keep &#039;&#039;&#039;SUBJECT&#039;&#039;&#039; empty.  &lt;br /&gt;
# Type the bolded text below:  &lt;br /&gt;
#&#039;&#039;&#039;TO:&#039;&#039;&#039; listserv@hermes.gwu.edu  &lt;br /&gt;
#&#039;&#039;&#039;MESSAGE TEXT:&#039;&#039;&#039; &#039;&#039;&#039;subscribe BIOINFO your-first-name your-last-name&#039;&#039;&#039;  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Bioinformatics Funding Opportunities ==&lt;br /&gt;
See [https://blogs.gwu.edu/smhsresearch/genomics/ here] for bioinformatics related funding opportunities.  &lt;br /&gt;
== GW Bioinformatics Labs/Groups ==&lt;br /&gt;
* [https://cblab.org/ Alekseyev, Max Lab]  &lt;br /&gt;
* Bradley, Brenda Lab&lt;br /&gt;
* Berger, Seth Lab  &lt;br /&gt;
* Broniatowski, David Lab  &lt;br /&gt;
* Caldovic, Ljubica Lab  &lt;br /&gt;
* Callier, Shawneequa Lab  &lt;br /&gt;
* Crandall, Keith Lab  &lt;br /&gt;
* Garbey, Marc Lab  &lt;br /&gt;
* Gaylord, Clark Group  &lt;br /&gt;
* Gulla, Aiste Lab&lt;br /&gt;
* Horvath, Anelia Lab  &lt;br /&gt;
* Huang Lab  &lt;br /&gt;
* Kaminski, Henry Lab  &lt;br /&gt;
* [https://hivelab.biochemistry.gwu.edu/ Mazumder, Raja Lab (Biochemistry, SMHS)]  &lt;br /&gt;
* Morizono, Hiroki Lab  &lt;br /&gt;
* Orti, Guillermo Lab  &lt;br /&gt;
* Peng, Weiqun Lab  &lt;br /&gt;
* Perez-Losada, Marcos Lab  &lt;br /&gt;
* Pyron, Alex Lab  &lt;br /&gt;
* Qiu, Xiangyun Lab  &lt;br /&gt;
* Rahman, Muhammad Lab  &lt;br /&gt;
* Rahnavard, Ali Lab  &lt;br /&gt;
* Jo Lynne Rokita Lab  &lt;br /&gt;
* Saw, Jimmy Lab  &lt;br /&gt;
* Sepulveda, Jorge Lab  &lt;br /&gt;
* Simha, Rahul Lab  &lt;br /&gt;
* Zeng, Chen Lab  &lt;br /&gt;
* Zeng, Qing Lab&lt;br /&gt;
* Zirikly, Aya Lab&lt;br /&gt;
&lt;br /&gt;
== Contact ==&lt;br /&gt;
To add your name to this list please email mazumder_lab@gwu.edu. If you have a URL for your lab, please let us know so that we can link it. This will allow others to learn about your research and also find other faculty and staff in your lab/group.&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Comprehensive_Pathogenic_Organisms_Reference&amp;diff=1244</id>
		<title>Comprehensive Pathogenic Organisms Reference</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Comprehensive_Pathogenic_Organisms_Reference&amp;diff=1244"/>
		<updated>2026-04-08T15:19:54Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page provides a comprehensive reference table of human pathogenic organisms, including bacteria, viruses, and eukaryotic pathogens. The table integrates data from multiple curated sources and includes taxonomic identifiers and classification information for downstream analysis and database integration. The current dataset comprises 1,705 bacterial species, 1598 viral species, and 49 fungal and other eukaryotic organisms. You can browse and review the contents of this dataset on this wiki page. To download or work with the full file, it is available on [https://github.com/FDA-ARGOS/data.argosdb/blob/main/data_files/HumanPathogens_Comprehensive.xlsx GitHub].&lt;br /&gt;
&lt;br /&gt;
Pathogen names were collected and standardized using data from the following sources.&lt;br /&gt;
&lt;br /&gt;
# [https://data.argosdb.org/ FDA-ARGOS] (includes NCBI FDA-ARGOS BioProject 231221 + additional organisms analyzed as part of the [https://www.fda.gov/emergency-preparedness-and-response/preparedness-research/expanding-next-generation-sequencing-tools-support-pandemic-preparedness-and-response project)]&lt;br /&gt;
# [https://pubmed.ncbi.nlm.nih.gov/36748702/ PMID: 36748702] (Bartlett et. al. A comprehensive list of bacterial pathogens infecting humans)&lt;br /&gt;
# [https://pubmed.ncbi.nlm.nih.gov/39923424/ PMID: 39923424] (He et. al. Human viruses: An ever-increasing list)&lt;br /&gt;
# [https://www.uniprot.org/uniprotkb?query=%28taxonomy_id:10239%29 UniProt taxonomy records] (Curated UniProt Human as host data)&lt;br /&gt;
# [https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c National Institute of Allergy and Infectious Diseases biodefense pathogen lists]&lt;br /&gt;
# [https://www.who.int/publications/i/item/9789240060241 World Health Organization reports]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
 __TOC__&lt;br /&gt;
&lt;br /&gt;
== Bacterial Pathogens ==&lt;br /&gt;
&amp;lt;div style=&amp;quot;height: 500px; overflow-y: auto;&amp;quot;&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
! # !! Organism Name !! NCBI_taxid !! Source_PMID !! Source_ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1 || Abiotrophia defectiva || 46125 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 2 || Abiotrophia elegans || 137732 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 3 || Acetobacter cibinongensis || 146475 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 4 || Acetobacter indonesiensis || 104101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 5 || Acholeplasma oculi || 35623 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 6 || Achromobacter aegrifaciens || 1287736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 7 || Achromobacter animicus || 1389935 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 8 || Achromobacter anxifer || 1287737 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 9 || Achromobacter denitrificans || 32002 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 10 || Achromobacter dolens || 1287738 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 11 || Achromobacter insolitus || 217204 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 12 || Achromobacter insuavis || 1287735 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 13 || Achromobacter marplatensis || 470868 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 14 || Achromobacter mucicolens || 1389922 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 15 || Achromobacter piechaudii || 72556 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 16 || Achromobacter pulmonis || 1389932 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 17 || Achromobacter ruhlandii || 72557 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 18 || Achromobacter spanius || 217203 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 19 || Achromobacter spiritinus || 470868 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 20 || Achromobacter xylosoxidans || 85698 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 21 || Acidaminococcus fermentans || 905 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 22 || Acidomonas methanolica || 437 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 23 || Acidovorax oryzae || 862720 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 24 || Acinetobacter baumannii || 470 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 25 || Acinetobacter baylyi || 202950 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 26 || Acinetobacter beijerinckii || 262668 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 27 || Acinetobacter bereziniae || 106648 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 28 || Acinetobacter calcoaceticus || 471 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 29 || Acinetobacter guillouiae || 106649 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 30 || Acinetobacter gyllenbergii || 134534 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 31 || Acinetobacter haemolyticus || 29430 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 32 || Acinetobacter johnsonii || 40214 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 33 || Acinetobacter junii || 40215 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 34 || Acinetobacter lwoffii || 28090 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 35 || Acinetobacter nosocomialis || 106654 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 36 || Acinetobacter parvus || 134533 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 37 || Acinetobacter pittii || 48296 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 38 || Acinetobacter radioresistens || 40216 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 39 || Acinetobacter schindleri || 108981 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 40 || Acinetobacter seifertii || 1530123 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 41 || Acinetobacter septicus || 465797 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 42 || Acinetobacter ursingii || 108980 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 43 || Acinetobacter variabilis || 70346 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 44 || Actinobacillus equuli || 718 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 45 || Actinobacillus hominis || 719 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 46 || Actinobacillus lignieresii || 720 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 47 || Actinobacillus pleuropneumoniae || 715 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 48 || Actinobacillus suis || 716 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 49 || Actinobacillus ureae || 723 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 50 || Actinobaculum massiliae || 202789 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 51 || Actinobaculum massiliense || 202789 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 52 || Actinobaculum schaalii || 59505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 53 || Actinobaculum urinale || 190146 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 54 || Actinomadura chibensis || 392828 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 55 || Actinomadura madurae || 1993 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 56 || Actinomadura mexicana || 134959 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 57 || Actinomadura meyerae || 240840 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 58 || Actinomadura pelletieri || 111805 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 59 || Actinomadura sputi || 589159 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 60 || Actinomyces bovis || 1658 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 61 || Actinomyces cardiffensis || 181487 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 62 || Actinomyces dentalis || 272548 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 63 || Actinomyces europaeus || 66228 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 64 || Actinomyces funkei || 132933 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 65 || Actinomyces georgiae || 52768 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 66 || Actinomyces gerencseriae || 52769 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 67 || Actinomyces graevenitzii || 55565 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 68 || Actinomyces hominis || 595468 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 69 || Actinomyces hongkongensis || 178339 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 70 || Actinomyces israelii || 1659 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 71 || Actinomyces johnsonii || 544581 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 72 || Actinomyces massiliensis || 461393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 73 || Schaalia meyeri(Actinomyces meyeri) || 52773 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 74 || Actinomyces naeslundii || 1655 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 75 || Winkia neuii(Actinomyces neuii) || 33007 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 76 || Actinomyces odontolyticus || 1660 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 77 || Actinomyces oricola || 206043 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 78 || Actinomyces oris || 544580 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 79 || Actinomyces radicidentis || 111015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 80 || Schaalia radingae(Actinomyces radingae) || 131110 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 81 || Actinomyces timonensis || 1288391 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 82 || Schaalia turicensis(Actinomyces turicensis) || 131111 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 83 || Actinomyces urinae || 1689268 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 84 || Actinomyces urogenitalis || 103621 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 85 || Actinomyces viscosus || 1656 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 86 || Actinotignum sanguinis || 1445614 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 87 || Actinotignum schaalii || 59505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 88 || Actinotignum urinale || 190146 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 89 || Advenella incenata || 267800 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 90 || Aerococcus christensenii || 87541 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 91 || Aerococcus sanguicola || 119206 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 92 || Aerococcus urinae || 1376 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 93 || Aerococcus viridans || 1377 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 94 || Aeromonas aquariorum || 196024 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 95 || Aeromonas caviae || 648 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 96 || Aeromonas dhakensis || 196024 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 97 || Aeromonas hydrophila || 644 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 98 || Aeromonas jandaei || 650 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 99 || Aeromonas salmonicida || 645 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 100 || Aeromonas sanarellii || 633415 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 101 || Aeromonas schubertii || 652 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 102 || Aeromonas sobria || 646 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 103 || Aeromonas taiwanensis || 633417 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 104 || Aeromonas tecta || 324617 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 105 || Aeromonas veronii || 654 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 106 || Afipia broomeae || 56946 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 107 || Afipia clevelandensis || 1034 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 108 || Afipia felis || 1035 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 109 || Aggregatibacter actinomycetemcomitans || 714 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 110 || Aggregatibacter aphrophilus || 732 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 111 || Aggregatibacter segnis || 739 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 112 || Agrobacterium tumefaciens || 358 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 113 || Alcaligenes denitrificans || 32002 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 114 || Alcaligenes faecalis || 511 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 115 || Alcaligenes odorans || 32001 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 116 || Alcaligenes piechaudii || 72556 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 117 || Alistipes finegoldii || 214856 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 118 || Alistipes indistinctus || 626932 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 119 || Alistipes onderdonkii || 328813 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 120 || Alistipes shahii || 328814 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 121 || Alkanindiges hongkongensis || 208968 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 122 || Alloiococcus otitis || 1652 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 123 || Alloprevotella rava || 671218 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 124 || Alloprevotella tannerae || 76122 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 125 || Alloscardovia omnicolens || 419015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 126 || Amycolatopsis benzoatilytica || 346045 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 127 || Amycolatopsis orientalis || 31958 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 128 || Amycolatopsis palatopharyngis || 187982 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 129 || Anaerobiospirillum succiniciproducens || 13335 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 130 || Anaerobiospirillum thomasii || 179995 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 131 || Anaerococcus degenerii || 361500 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 132 || Anaerococcus lactolyticus || 33032 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 133 || Anaerococcus murdochii || 411577 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 134 || Anaerococcus nagyae || 1755241 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 135 || Anaerococcus octavius || 54007 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 136 || Anaerococcus prevotii || 33034 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 137 || Anaerococcus vaginalis || 33037 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 138 || Anaeroglobus geminatus || 156456 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 139 || Anaerostipes caccae || 105841 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 140 || Anaplasma phagocytophilum || 948 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 141 || Anaplasma platys || 949 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 142 || Aquimonas voraii || 265719 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 143 || Arcanobacterium bernardiae || 59561 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 144 || Arcanobacterium haemolyticum || 28264 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 145 || Arcanobacterium pyogenes || 1661 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 146 || Arcobacter butzleri || 28197 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 147 || Arcobacter cryaerophilus || 28198 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 148 || Arcobacter skirrowii || 28200 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 149 || Arthrobacter albus || 98671 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 150 || Arthrobacter luteolus || 98672 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 151 || Arthrobacter scleromae || 158897 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 152 || Arthrobacter woluwensis || 156980 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 153 || Asaia bogorensis || 91915 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 154 || Asaia lannensis || 415421 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 155 || Atlantibacter hermannii || 565 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 156 || Atopobium deltae || 1393034 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 157 || Atopobium minutum || 1381 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 158 || Atopobium rimae || 1383 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 159 || Atopobium vaginae || 82135 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 160 || Aureimonas altamirensis || 370622 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 161 || Auritidibacter ignavus || 678932 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 162 || Bacillus anthracis || 1392 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 163 || Bacillus cereus || 1396 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 164 || Bacillus circulans || 1397 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 165 || Bacillus coagulans || 1398 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 166 || Bacillus cytotoxicus || 580165 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 167 || Bacillus idriensis || 324768 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 168 || Bacillus infantis || 324767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 169 || Bacillus licheniformis || 1402 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 170 || Bacillus massiliensis || 292806 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 171 || Bacillus mycoides || 1405 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 172 || Bacillus pumilus || 1408 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 173 || Bacillus sphaericus || 1421 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 174 || Bacillus subtilis || 1423 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 175 || Bacillus thuringiensis || 1428 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 176 || Bacteroides caccae || 47678 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 177 || Bacteroides coagulans || 46507 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 178 || Bacteroides denticanum || 266833 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 179 || Bacteroides distasonis || 823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 180 || Bacteroides eggerthii || 28111 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 181 || Bacteroides faecis || 674529 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 182 || Bacteroides fluxus || 626930 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 183 || Bacteroides forsythus || 28112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 184 || Bacteroides fragilis || 817 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 185 || Bacteroides galacturonicus || 384639 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 186 || Bacteroides gracilis || 824 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 187 || Bacteroides heparinolyticus || 28113 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 188 || Bacteroides massiliensis || 204516 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 189 || Bacteroides merdae || 46503 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 190 || Bacteroides nordii || 291645 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 191 || Bacteroides ovatus || 28116 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 192 || Bacteroides pectinophilus || 384638 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 193 || Bacteroides pyogenes || 310300 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 194 || Bacteroides salyersiae || 291644 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 195 || Bacteroides splanchnicus || 28118 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 196 || Bacteroides stercoris || 46506 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 197 || Bacteroides thetaiotaomicron || 818 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 198 || Bacteroides uniformis || 820 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 199 || Bacteroides ureolyticus || 827 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 200 || Phocaeicola vulgatus(Bacteroides vulgatus) || 821 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 201 || Bacteroides zoogleoformans || 28119 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 202 || Balneatrix alpica || 75684 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 203 || Bartonella alsatica || 52764 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 204 || Bartonella ancashensis || 1318743 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 205 || Bartonella bacilliformis || 774 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 206 || Bartonella elizabethae || 807 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 207 || Bartonella grahamii || 33045 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 208 || Bartonella henselae || 38323 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 209 || Bartonella koehlerae || 92181 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 210 || Bartonella mayotimonensis || 572280 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 211 || Bartonella melophagi || 291176 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 212 || Bartonella quintana || 803 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 213 || Bartonella tamiae || 373638 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 214 || Bartonella vinsonii || 33047 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 215 || Candidatus Bartonella washoeensis&amp;lt;br&amp;gt;(Bartonella washoensis) || 186739 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 216 || Bergeyella cardium || 1585976 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 217 || Bergeyella zoohelcum || 1015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 218 || Bifidobacterium denticolens || 78258 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 219 || Bifidobacterium dentium || 1689 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 220 || Bifidobacterium inopinatum || 78259 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 221 || Bifidobacterium scardovii || 158787 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 222 || Bilophila wadsworthia || 35833 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 223 || Bisgaardia hudsonensis || 109472 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 224 || Bordetella ansorpii || 288768 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 225 || Bordetella avium || 521 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 226 || Bordetella bronchialis || 463025 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 227 || Bordetella bronchiseptica || 518 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 228 || Bordetella flabilis || 463014 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 229 || Bordetella hinzii || 103855 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 230 || Bordetella holmesii || 35814 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 231 || Bordetella parapertussis || 519 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 232 || Bordetella pertussis || 520 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 233 || Bordetella petrii || 94624 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 234 || Bordetella sputigena || 1416810 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 235 || Bordetella trematum || 123899 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 236 || Borrelia americana || 478807 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 237 || Borrelia brasiliensis || 1653832 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 238 || Borrelia burgdorferi || 139 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 239 || Borrelia caucasica || 1653833 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 240 || Borrelia crocidurae || 29520 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 241 || Borrelia duttonii || 40834 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 242 || Borrelia hermsii || 140 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 243 || Borrelia hispanica || 40835 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 244 || Borrelia latyschewii || 1027767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 245 || Borrelia lonestari || 38876 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 246 || Borrelia mayonii || 1674146 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 247 || Borrelia mazzottii || 1653837 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 248 || Borrelia miyamotoi || 47466 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 249 || Borrelia parkeri || 141 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 250 || Borrelia persica || 44448 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 251 || Borrelia recurrentis || 44449 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 252 || Borrelia spielmanii || 88916 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 253 || Borrelia turicatae || 142 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 254 || Borrelia venezuelensis || 1653839 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 255 || Brachybacterium paraconglomeratum || 173362 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 256 || Brachyspira aalborgi || 29522 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 257 || Brachyspira pilosicoli || 52584 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 258 || Branchiibius cervicis || 908252 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 259 || Brevibacillus agri || 51101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 260 || Brevibacillus brevis || 1393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 261 || Brevibacillus centrosporus || 54910 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 262 || Brevibacterium casei || 33889 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 263 || Brevibacterium iodinum || 31943 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 264 || Brevibacterium luteolum || 199591 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 265 || Brevibacterium lutescens || 199591 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 266 || Brevibacterium massiliense || 479117 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 267 || Brevibacterium otitidis || 53364 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 268 || Brevibacterium paucivorans || 170994 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 269 || Brevibacterium sanguinis || 232444 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 270 || Brevundimonas diminuta || 293 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 271 || Brevundimonas vancanneytii || 1325724 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 272 || Brevundimonas vesicularis || 41276 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 273 || Brucella abortus || 235 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 274 || Brucella canis || 36855 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 275 || Brucella inopinata || 1218315 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 276 || Brucella melitensis || 29459 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 277 || Brucella neotomae || 29460 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 278 || Budvicia aquatica || 82979 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 279 || Bulleidia extructa || 118748 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 280 || Burkholderia ambifaria || 152480 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 281 || Burkholderia anthina || 179879 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 282 || Burkholderia arboris || 488730 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 283 || Burkholderia cenocepacia || 95486 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 284 || Burkholderia cepacia || 292 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 285 || Burkholderia contaminans || 488447 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 286 || Burkholderia diffusa || 488732 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 287 || Burkholderia dolosa || 152500 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 288 || Burkholderia fungorum || 134537 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 289 || Burkholderia gladioli || 28095 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 290 || Burkholderia glumae || 337 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 291 || Burkholderia lata || 482957 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 292 || Burkholderia latens || 488446 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 293 || Burkholderia mallei || 13373 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 294 || Burkholderia metallica || 488729 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 295 || Burkholderia multivorans || 87883 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 296 || Burkholderia oklahomensis || 342113 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 297 || Burkholderia pseudomallei || 28450 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 298 || Burkholderia pyrrocinia || 60550 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 299 || Burkholderia seminalis || 488731 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 300 || Burkholderia stabilis || 95485 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 301 || Burkholderia stagnalis || 1503054 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 302 || Burkholderia thailandensis || 57975 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 303 || Burkholderia ubonensis || 101571 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 304 || Burkholderia vietnamiensis || 60552 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 305 || Buttiauxella gaviniae || 82990 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 306 || Butyricimonas faecihominis || 1472416 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 307 || Butyricimonas virosa || 544645 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 308 || Campylobacter armoricus || 2505970 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 309 || Campylobacter butzleri || 28197 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 310 || Campylobacter coli || 195 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 311 || Campylobacter concisus || 199 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 312 || Campylobacter curvus || 200 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 313 || Campylobacter fetus || 196 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 314 || Campylobacter gracilis || 824 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 315 || Campylobacter hominis || 76517 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 316 || Campylobacter hyointestinalis || 198 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 317 || Candidatus Campylobacter infans(Campylobacter infans) || 2561898 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 318 || Campylobacter insulaenigrae || 260714 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 319 || Campylobacter jejuni || 197 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 320 || Campylobacter lanienae || 75658 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 321 || Campylobacter lari || 201 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 322 || Campylobacter mucosalis || 202 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 323 || Campylobacter rectus || 203 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 324 || Campylobacter showae || 204 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 325 || Campylobacter sputorum || 206 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 326 || Campylobacter upsaliensis || 28080 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 327 || Campylobacter ureolyticus || 827 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 328 || Campylobacter volucris || 1031542 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 329 || Canibacter oris || 1365628 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 330 || Capnocytophaga canimorsus || 28188 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 331 || Capnocytophaga cynodegmi || 28189 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 332 || Capnocytophaga gingivalis || 1017 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 333 || Capnocytophaga granulosa || 45242 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 334 || Capnocytophaga haemolytica || 45243 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 335 || Capnocytophaga leadbetteri || 327575 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 336 || Capnocytophaga ochracea || 1018 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 337 || Capnocytophaga sputigena || 1019 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 338 || Cardiobacterium hominis || 2718 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 339 || Cardiobacterium valvarum || 194702 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 340 || Catabacter hongkongensis || 270498 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 341 || Catonella morbi || 43997 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 342 || Cedecea davisae || 158484 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 343 || Cedecea lapagei || 158823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 344 || Cedecea neteri || 158822 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 345 || Cellulomonas cellulans || 1710 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 346 || Cellulomonas denverensis || 264297 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 347 || Cellulomonas hominis || 156981 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 348 || Cellulomonas turbata || 1713 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 349 || Cellulosimicrobium cellulans || 1710 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 350 || Cellulosimicrobium funkei || 264251 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 351 || Centipeda periodontii || 82203 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 352 || Chitinophaga terrae || 408074 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 353 || Chitinophaga vietnamensis || 2593957 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 354 || Chlamydia abortus || 83555 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 355 || Chlamydia caviae || 83557 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 356 || Chlamydia felis || 83556 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 357 || Chlamydia psittaci || 83554 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 358 || Chlamydia trachomatis || 813 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 359 || Chlamydophila pneumoniae || 83558 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 360 || Chlamydophila psittaci || 83554 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 361 || Chromobacterium haemolyticum || 394935 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 362 || Chromobacterium violaceum || 536 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 363 || Chryseobacterium anthropi || 520603 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 364 || Chryseobacterium balustinum || 246 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 365 || Chryseobacterium bernardetii || 1241978 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 366 || Chryseobacterium gleum || 250 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 367 || Chryseobacterium hominis || 420404 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 368 || Chryseobacterium indologenes || 253 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 369 || Chryseobacterium meningosepticum || 238 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 370 || Chryseobacterium mucoviscidosis || 1945581 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 371 || Chryseobacterium nakagawai || 1241982 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 372 || Chryseobacterium oranimense || 421058 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 373 || Chryseobacterium treverense || 631455 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 374 || Citrobacter amalonaticus || 35703 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 375 || Citrobacter braakii || 57706 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 376 || Citrobacter farmeri || 67824 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 377 || Citrobacter freundii || 546 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 378 || Citrobacter koseri || 545 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 379 || Citrobacter pasteurii || 1563222 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 380 || Citrobacter rodentium || 67825 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 381 || Citrobacter sedlakii || 67826 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 382 || Citrobacter werkmanii || 67827 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 383 || Citrobacter youngae || 133448 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 384 || Clostridioides difficile || 1496 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 385 || Clostridium aldenense || 358742 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 386 || Clostridium amygdalinum || 253257 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 387 || Clostridium baratii || 1561 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 388 || Clostridium bifermentans || 1490 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 389 || Clostridium bolteae || 208479 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 390 || Clostridium botulinum || 1491 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 391 || Clostridium butyricum || 1492 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 392 || Clostridium cadaveris || 1529 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 393 || Clostridium carnis || 1530 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 394 || Clostridium celatum || 36834 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 395 || Clostridium chauvoei || 46867 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 396 || Clostridium citroniae || 358743 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 397 || Clostridium combesii || 39481 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 398 || Clostridium fallax || 1533 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 399 || Clostridium hydrogeniformans || 349933 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 400 || Clostridium indolis || 69825 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 401 || Clostridium innocuum || 1522 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 402 || Clostridium intestinale || 36845 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 403 || Clostridium lavalense || 460384 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 404 || Clostridium neonatale || 137838 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 405 || Clostridium novyi || 1542 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 406 || Clostridium perfringens || 1502 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 407 || Thomasclavelia ramosa(Clostridium ramosum) || 1547 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 408 || Clostridium septicum || 1504 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 409 || Paraclostridium sordellii(Clostridium sordellii) || 1505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 410 || Clostridium sphenoides || 29370 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 411 || Clostridium sporogenes || 1509 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 412 || Clostridium tertium || 1559 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 413 || Clostridium tetani || 1513 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 414 || Clostridium ventriculi || 1267 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 415 || Collinsella aerofaciens || 74426 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 416 || Collinsella vaginalis || 1870987 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 417 || Comamonas kerstersii || 225992 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 418 || Comamonas testosteroni || 285 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 419 || Coprobacillus catenaformis || 100884 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 420 || Corynebacterium accolens || 38284 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 421 || Corynebacterium afermentans || 38286 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 422 || Corynebacterium amycolatum || 43765 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 423 || Corynebacterium appendicis || 163202 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 424 || Corynebacterium aquatimens || 1190508 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 425 || Corynebacterium argentoratense || 42817 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 426 || Corynebacterium aurimucosum || 169292 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 427 || Corynebacterium auris || 44750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 428 || Corynebacterium auriscanis || 99807 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 429 || Corynebacterium belfantii || 2014537 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 430 || Corynebacterium bovis || 36808 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 431 || Corynebacterium canis || 679663 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 432 || Corynebacterium confusum || 71254 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 433 || Corynebacterium coyleae || 53374 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 434 || Corynebacterium dentalis || 2014528 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 435 || Corynebacterium diphtheriae || 1717 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 436 || Corynebacterium durum || 61592 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 437 || Corynebacterium falsenii || 108486 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 438 || Corynebacterium fournieri || 1852390 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 439 || Corynebacterium freiburgense || 556548 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 440 || Corynebacterium freneyi || 134034 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 441 || Corynebacterium glucuronolyticum || 39791 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 442 || Corynebacterium gottingense || 2041036 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 443 || Corynebacterium hansenii || 394964 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 444 || Corynebacterium imitans || 156978 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 445 || Corynebacterium jeikeium || 38289 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 446 || Corynebacterium kroppenstedtii || 161879 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 447 || Corynebacterium kutscheri || 35755 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 448 || Corynebacterium lipophiloflavum || 161889 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 449 || Corynebacterium lowii || 1544413 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 450 || Corynebacterium macginleyi || 38290 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 451 || Corynebacterium massiliense || 441501 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 452 || Corynebacterium minutissimum || 38301 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 453 || Corynebacterium mucifaciens || 57171 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 454 || Corynebacterium nigricans || 169292 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 455 || Corynebacterium oculi || 1544416 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 456 || Corynebacterium pilbarense || 1288393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 457 || Corynebacterium propinquum || 43769 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 458 || Corynebacterium pseudodiphthericum || 37637 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 459 || Corynebacterium pseudotuberculosis || 1719 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 460 || Corynebacterium pyruviciproducens || 598660 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 461 || Corynebacterium resistens || 258224 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 462 || Corynebacterium riegelii || 156976 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 463 || Corynebacterium rouxii || 2719119 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 464 || Corynebacterium seminale || 39791 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 465 || Corynebacterium simulans || 146827 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 466 || Corynebacterium sputi || 489915 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 467 || Corynebacterium striatum || 43770 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 468 || Corynebacterium sundsvallense || 161902 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 469 || Corynebacterium timonense || 441500 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 470 || Corynebacterium tuberculostearicum || 38304 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 471 || Corynebacterium tuscaniae || 302449 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 472 || Corynebacterium ulcerans || 65058 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 473 || Corynebacterium urealyticum || 43771 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 474 || Corynebacterium ureicelerivorans || 401472 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 475 || Corynebacterium xerosis || 1725 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 476 || Coxiella burnetii || 777 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 477 || Cronobacter malonaticus || 413503 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 478 || Cronobacter sakazakii || 28141 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 479 || Cronobacter turicensis || 413502 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 480 || Cruoricaptor ignavus || 1118202 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 481 || Cryptobacterium curtum || 84163 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 482 || Cupriavidus gilardii || 82541 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 483 || Cupriavidus metallidurans || 119219 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 484 || Cupriavidus pauculus || 82633 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 485 || Curtobacterium flaccumfaciens || 2035 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 486 || Cutibacterium acnes || 1747 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 487 || Cutibacterium avidum || 33010 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 488 || Cutibacterium modestum || 2559073 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 489 || Delftia acidovorans || 80866 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 490 || Delftia lacustris || 558537 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 491 || Delftia tsuruhatensis || 180282 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 492 || Dermabacter hominis || 36740 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 493 || Dermabacter jinjuensis || 1667168 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 494 || Dermacoccus barathri || 322601 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 495 || Dermatophilus congolensis || 1863 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 496 || Desmospora activa || 500615 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 497 || Desulfomicrobium orale || 132132 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 498 || Desulfovibrio desulfuricans || 876 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 499 || Desulfovibrio legallii || 571438 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 500 || Desulfovibrio vulgaris || 881 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 501 || Dialister invisus || 218538 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 502 || Dialister micraerophilus || 309120 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 503 || Dialister pneumosintes || 39950 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 504 || Dialister propionicifaciens || 308994 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 505 || Dichelobacter nodosus || 870 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 506 || Dietzia aurantiaca || 983873 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 507 || Dietzia cinnamea || 321318 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 508 || Dietzia maris || 37915 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 509 || Dietzia papillomatosis || 282305 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 510 || Diplorickettsia massiliensis || 676517 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 511 || Dokdonella koreensis || 323415 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 512 || Dolosigranulum pigrum || 29394 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 513 || Dyella japonica || 231455 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 514 || Dysgonomonas capnocytophagoides || 45254 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 515 || Dysgonomonas gadei || 156974 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 516 || Dysgonomonas hofstadii || 637886 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 517 || Dysgonomonas mossii || 163665 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 518 || Edwardsiella hoshinae || 93378 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 519 || Edwardsiella tarda || 636 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 520 || Effusibacillus consociatus || 1117041 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 521 || Eggerthella lenta || 84112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 522 || Eggerthella sinensis || 242230 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 523 || Eggerthia catenaformis || 31973 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 524 || Ehrlichia canis || 944 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 525 || Ehrlichia chaffeensis || 945 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 526 || Ehrlichia equi || 948 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 527 || Ehrlichia ewingii || 947 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 528 || Anaplasma phagocytophilum&amp;lt;br&amp;gt;(Ehrlichia phagocytophila) || 948 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 529 || Ehrlichia sennetsu || 951 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 530 || Eikenella corrodens || 539 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 531 || Eikenella exigua || 2528037 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 532 || Eikenella halliae || 1795832 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 533 || Eikenella longinqua || 1795827 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 534 || Eisenbergiella tayi || 1432052 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 535 || Elizabethkingia anophelis || 1117645 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 536 || Elizabethkingia bruuniana || 1756149 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 537 || Elizabethkingia meningoseptica || 238 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 538 || Elizabethkingia miricola || 172045 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 539 || Empedobacter brevis || 247 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 540 || Empedobacter falsenii || 343874 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 541 || Enterobacter aerogenes || 548 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 542 || Enterobacter asburiae || 61645 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 543 || Enterobacter bugandensis || 881260 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 544 || Enterobacter cancerogenus || 69218 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 545 || Enterobacter cloacae || 550 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 546 || Enterobacter hormaechei || 158836 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 547 || Enterobacter huaxiensis || 2494702 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 548 || Enterobacter kobei || 208224 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 549 || Enterobacter ludwigii || 299767 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 550 || Enterobacter quasihormaechei || 2529382 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 551 || Enterobacter sakazakii || 28141 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 552 || Enterobacter wuhouensis || 2529381 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 553 || Enterococcus avium || 33945 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 554 || Enterococcus casseliflavus || 37734 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 555 || Enterococcus cecorum || 44008 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 556 || Enterococcus durans || 53345 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 557 || Enterococcus faecalis || 1351 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 558 || Enterococcus faecium || 1352 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 559 || Enterococcus flavescens || 37734 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 560 || Enterococcus gallinarum || 1353 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 561 || Enterococcus gilvus || 160453 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 562 || Enterococcus hirae || 1354 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 563 || Enterococcus mundtii || 53346 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 564 || Enterococcus pallens || 160454 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 565 || Enterococcus raffinosus || 71452 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 566 || Erwinia persicinus || 55211 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 567 || Erysipelatoclostridium ramosum || 1547 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 568 || Erysipelothrix rhusiopathiae || 1648 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 569 || Escherichia albertii || 208962 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 570 || Escherichia coli || 562 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 571 || Escherichia fergusonii || 564 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 572 || Pseudescherichia vulneris(Escherichia vulneris) || 566 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 573 || Eubacterium brachy || 35517 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 574 || Eubacterium callanderi || 53442 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 575 || Faecalitalea cylindroides(Eubacterium cylindroides) || 39483 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 576 || Eubacterium exiguum || 84109 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 577 || Eubacterium limosum || 1736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 578 || Eubacterium minutum || 76124 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 579 || Clostridium moniliforme(Eubacterium moniliforme) || 39489 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 580 || Eubacterium multiforme || 83339 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 581 || Eubacterium nodatum || 35518 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 582 || Agathobacter rectalis(Eubacterium rectale) || 39491 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 583 || Eubacterium saphenum || 51123 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 584 || Eubacterium sulci || 143393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 585 || Paraclostridium tenue(Eubacterium tenue) || 1737 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 586 || Eubacterium timidum || 35519 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 587 || Eubacterium yurii || 39498 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 588 || Ewingella americana || 41202 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 589 || Exiguobacterium acetylicum || 41170 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 590 || Exiguobacterium aurantiacum || 33987 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 591 || Facklamia hominis || 178214 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 592 || Facklamia ignava || 137730 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 593 || Facklamia languida || 82347 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 594 || Facklamia sourekii || 87650 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 595 || Faecalicatena contorta || 39482 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 596 || Fastidiosipila sanguinis || 236753 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 597 || Fenollaria massiliensis || 938288 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 598 || Fibrobacter intestinalis || 28122 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 599 || Filifactor alocis || 143361 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 600 || Finegoldia magna || 1260 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 601 || Paenimyroides ceti(Flavobacterium ceti) || 395087 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 602 || Fluoribacter bozemanae || 447 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 603 || Fluoribacter dumoffii || 463 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 604 || Fluoribacter gormanii || 464 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 605 || Francisella hispaniensis || 622488 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 606 || Francisella opportunistica || 2016517 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 607 || Francisella philomiragia || 28110 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 608 || Francisella tularensis || 263 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 609 || Frederiksenia canicola || 123824 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 610 || Fretibacterium fastidiosum || 651822 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 611 || Fusobacterium gonidiaformans || 849 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 612 || Fusobacterium mortiferum || 850 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 613 || Fusobacterium naviforme || 77917 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 614 || Fusobacterium necrophorum || 859 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 615 || Fusobacterium nucleatum || 851 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 616 || Fusobacterium periodonticum || 860 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 617 || Fusobacterium russii || 854 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 618 || Fusobacterium ulcerans || 861 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 619 || Fusobacterium varium || 856 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 620 || Gallibacterium anatis || 750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 621 || Gardnerella vaginalis || 2702 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 622 || Gemella asaccharolytica || 502393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 623 || Gemella bergeriae || 84136 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 624 || Gemella haemolysans || 1379 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 625 || Gemella morbillorum || 29391 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 626 || Gemella parahaemolysans || 1179782 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 627 || Gemella sanguinis || 84135 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 628 || Gemella taiwanensis || 1179787 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 629 || Globicatella sanguinis || 13076 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 630 || Gordonia amarae || 36821 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 631 || Gordonia araii || 263909 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 632 || Gordonia bronchialis || 2054 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 633 || Gordonia effusa || 263908 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 634 || Gordonia hongkongensis || 1701090 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 635 || Gordonia iterans || 1004901 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 636 || Gordonia otitidis || 249058 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 637 || Gordonia polyisoprenivorans || 84595 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 638 || Gordonia rubripertincta || 36822 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 639 || Gordonia sputi || 36823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 640 || Gordonia terrae || 2055 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 641 || Gordonibacter pamelaeae || 471189 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 642 || Granulibacter bethesdensis || 364410 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 643 || Granulicatella adiacens || 46124 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 644 || Granulicatella elegans || 137732 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 645 || Haematobacter massiliensis || 195105 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 646 || Haematobacter missouriensis || 366616 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 647 || Haematomicrobium sanguinis || 479106 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 648 || Haematospirillum jordaniae || 1549855 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 649 || Haemophilus actinomycetemcomitans || 714 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 650 || Haemophilus aegyptius || 197575 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 651 || Haemophilus aphrophilus || 732 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 652 || Haemophilus ducreyi || 730 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 653 || Haemophilus haemolyticus || 726 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 654 || Haemophilus influenzae || 727 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 655 || Haemophilus massiliensis || 1461579 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 656 || Haemophilus parahaemolyticus || 735 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 657 || Haemophilus parainfluenzae || 729 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 658 || Haemophilus paraphrohaemolyticus || 736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 659 || Haemophilus pittmaniae || 249188 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 660 || Haemophilus sputorum || 1078480 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 661 || Hafnia alvei || 569 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 662 || Hafnia paralvei || 546367 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 663 || Halomonas hamiltonii || 502829 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 664 || Halomonas stevensii || 502821 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 665 || Halomonas venusta || 44935 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 666 || Hathewaya histolytica || 1498 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 667 || Hazenella coriacea || 1179467 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 668 || Helcobacillus massiliensis || 521392 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 669 || Helcococcus kunzii || 40091 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 670 || Helcococcus sueciensis || 241555 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 671 || Helicobacter bilis || 37372 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 672 || Helicobacter canadensis || 123841 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 673 || Helicobacter canis || 29419 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 674 || Helicobacter cinaedi || 213 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 675 || Helicobacter fennelliae || 215 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 676 || Helicobacter heilmannii || 35817 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 677 || Helicobacter hepaticus || 32025 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 678 || Helicobacter pullorum || 35818 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 679 || Helicobacter pylori || 210 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 680 || Helicobacter suis || 104628 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 681 || Helicobacter winghamensis || 157268 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 682 || Herbaspirillum huttiense || 863372 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 683 || Herbaspirillum seropedicae || 964 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 684 || Hungatella effluvii || 1096246 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 685 || Hungatella hathewayi || 154046 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 686 || Ignatzschineria indica || 472583 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 687 || Ignatzschineria larvae || 112009 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 688 || Ignavigranum ruoffiae || 89093 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 689 || Inquilinus limosus || 171674 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 690 || Janibacter melonis || 262209 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 691 || Jonquetella anthropi || 428712 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 692 || Kerstersia gyiorum || 206506 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 693 || Kerstersia similis || 206505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 694 || Kingella denitrificans || 502 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 695 || Kingella kingae || 504 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 696 || Kingella oralis || 505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 697 || Kingella potus || 265175 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 698 || Klebsiella aerogenes || 548 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 699 || Klebsiella granulomatis || 39824 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 700 || Klebsiella grimontii || 2058152 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 701 || Klebsiella ornithinolytica || 54291 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 702 || Klebsiella oxytoca || 571 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 703 || Klebsiella pasteurii || 2587529 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 704 || Klebsiella pneumoniae || 573 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 705 || Klebsiella quasipneumoniae || 1463165 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 706 || Klebsiella variicola || 244366 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 707 || Kluyvera ascorbata || 51288 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 708 || Kluyvera cryocrescens || 580 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 709 || Kocuria kristinae || 37923 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 710 || Kocuria marina || 223184 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 711 || Kocuria rhizophila || 72000 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 712 || Kocuria rosea || 1275 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 713 || Kocuria salsicia || 664639 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 714 || Kocuria varians || 1272 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 715 || Kosakonia cowanii || 208223 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 716 || Kosakonia quasisacchari || 2529380 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 717 || Kytococcus schroeteri || 138300 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 718 || Kytococcus sedentarius || 1276 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 719 || Lachnoanaerobaculum saburreum || 467210 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 720 || Lachnoanaerobaculum umeaense || 617123 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 721 || Lactobacillus acidophilus || 1579 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 722 || Lactobacillus delbrueckii || 1584 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 723 || Lactobacillus gasseri || 1596 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 724 || Lactobacillus jensenii || 109790 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 725 || Lactobacillus plantarum || 1590 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 726 || Lactobacillus rhamnosus || 47715 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 727 || Lactococcus garvieae || 1363 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 728 || Laribacter hongkongensis || 168471 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 729 || Lawsonella clevelandensis || 1528099 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 730 || Leclercia adecarboxylata || 83655 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 731 || Legionella anisa || 28082 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 732 || Legionella birminghamensis || 28083 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 733 || Legionella bozemanii || 447 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 734 || Legionella cardiaca || 1071983 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 735 || Legionella cherrii || 28084 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 736 || Legionella cincinnatiensis || 28085 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 737 || Legionella feeleii || 453 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 738 || Legionella gormanii || 464 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 739 || Legionella hackeliae || 449 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 740 || Legionella indianapolisensis || 1774113 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 741 || Legionella jordanis || 456 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 742 || Legionella lansingensis || 45067 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 743 || Legionella londiniensis || 45068 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 744 || Legionella longbeachae || 450 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 745 || Legionella maceachernii || 466 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 746 || Legionella nagasakiensis || 535290 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 747 || Legionella oakridgensis || 29423 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 748 || Legionella parisiensis || 45071 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 749 || Legionella pneumophila || 446 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 750 || Legionella rubrilucens || 458 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 751 || Legionella sainthelensi || 28087 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 752 || Legionella steelei || 947033 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 753 || Legionella tucsonensis || 40335 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 754 || Legionella wadsworthii || 28088 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 755 || Legionella waltersii || 66969 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 756 || Leifsonia aquatica || 144185 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 757 || Lelliottia amnigena || 61646 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 758 || Leminorella grimontii || 82981 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 759 || Leptospira borgpetersenii || 174 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 760 || Leptospira broomii || 301541 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 761 || Leptospira fainei || 48782 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 762 || Leptospira inadai || 29506 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 763 || Leptospira interrogans || 173 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 764 || Leptospira kirschneri || 29507 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 765 || Leptospira licerasiae || 447106 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 766 || Leptospira mayottensis || 1137606 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 767 || Leptospira meyeri || 29508 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 768 || Leptospira noguchii || 28182 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 769 || Leptospira santarosai || 28183 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 770 || Leptospira venezuelensis || 1958811 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 771 || Leptospira weilii || 28184 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 772 || Leptospira wolffii || 409998 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 773 || Leptotrichia amnionii || 187101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 774 || Leptotrichia buccalis || 40542 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 775 || Leptotrichia goodfellowii || 157692 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 776 || Leptotrichia hongkongensis || 554406 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 777 || Leptotrichia sanguinegens(Sneathia sanguinegens) || 40543 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 778 || Leptotrichia shahii || 157691 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 779 || Leptotrichia trevisanii || 109328 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 780 || Leptotrichia wadei || 157687 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 781 || Leuconostoc lactis || 1246 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 782 || Leuconostoc mesenteroides || 1245 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 783 || Leuconostoc pseudomesenteroides || 33968 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 784 || Listeria grayi || 1641 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 785 || Listeria innocua || 1642 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 786 || Listeria ivanovii || 1638 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 787 || Listeria monocytogenes || 1639 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 788 || Listeria seeligeri || 1640 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 789 || Listeria welshimeri || 1643 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 790 || Luteibacter anthropi || 564369 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 791 || Luteococcus peritonei || 88874 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 792 || Luteococcus sanguinis || 174038 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 793 || Lysinibacillus fusiformis || 28031 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 794 || Lysinibacillus sphaericus || 1421 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 795 || Malaciobacter mytili || 603050 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 796 || Mannheimia glucosida || 85401 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 797 || Mannheimia haemolytica || 75985 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 798 || Massilia oculi || 945844 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 799 || Massilia timonae || 47229 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 800 || Megamonas hypermegale || 158847 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 801 || Megasphaera elsdenii || 907 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 802 || Megasphaera micronuciformis || 187326 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 803 || Megasphaera vaginalis || 2045301 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 804 || Metamycoplasma hominis || 2098 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 805 || Metamycoplasma salivarium || 2124 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 806 || Methylobacterium mesophilicum || 39956 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 807 || Methylobacterium zatmanii || 29429 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 808 || Microbacterium binotii || 462710 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 809 || Microbacterium paraoxydans || 199592 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 810 || Microbacterium pyrexiae || 393867 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 811 || Microbacterium yannicii || 671622 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 812 || Micrococcus luteus || 1270 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 813 || Microvirgula aerodenitrificans || 57480 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 814 || Mobiluncus curtisii || 2051 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 815 || Mobiluncus mulieris || 2052 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 816 || Moellerella wisconsensis || 158849 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 817 || Mogibacterium diversum || 114527 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 818 || Mogibacterium neglectum || 114528 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 819 || Mogibacterium pumilum || 86332 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 820 || Mogibacterium timidum || 35519 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 821 || Mogibacterium vescum || 86333 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 822 || Moraxella atlantae || 34059 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 823 || Moraxella bovis || 476 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 824 || Moraxella canis || 90239 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 825 || Moraxella catarrhalis || 480 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 826 || Moraxella caviae || 34060 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 827 || Moraxella cuniculi || 34061 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 828 || Moraxella lacunata || 477 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 829 || Moraxella lincolnii || 90241 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 830 || Moraxella nonliquefaciens || 478 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 831 || Moraxella osloensis || 34062 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 832 || Moraxella ovis || 29433 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 833 || Morganella morganii || 582 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 834 || Moryella indoligenes || 371674 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 835 || Murdochiella asaccharolytica || 507844 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 836 || Mycobacterium abscessus || 36809 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 837 || Mycobacterium africanum || 33894 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 838 || Mycobacterium alsense || 324058 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 839 || Mycobacterium alvei || 67081 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 840 || Mycobacterium arosiense || 425468 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 841 || Mycobacterium arupense || 342002 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 842 || Mycobacterium asiaticum || 1790 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 843 || Mycobacterium aubagnense || 319707 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 844 || Mycobacterium avium || 1764 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 845 || Mycobacterium bacteremicum || 564198 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 846 || Mycobacterium basiliense || 2094119 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 847 || Mycobacterium boenickei || 146017 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 848 || Mycobacterium bohemicum || 56425 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 849 || Mycobacterium bouchedurhonense || 701041 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 850 || Mycobacterium bovis || 1765 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 851 || Mycobacterium branderi || 43348 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 852 || Mycobacterium brisbanense || 146020 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 853 || Mycobacterium canariasense || 228230 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 854 || Mycobacterium caprae || 115862 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 855 || Mycobacterium celatum || 28045 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 856 || Mycobacterium chelonae || 1774 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 857 || Mycobacterium chimaera || 222805 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 858 || Mycobacterium colombiense || 339268 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 859 || Mycobacterium conceptionense || 451644 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 860 || Mycobacterium conspicuum || 44010 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 861 || Mycobacterium cosmeticum || 258533 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 862 || Mycobacterium doricum || 126673 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 863 || Mycobacterium elephantis || 81858 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 864 || Mycobacterium europaeum || 761804 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 865 || Mycobacterium farcinogenes || 1802 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 866 || Mycobacterium flavescens || 1776 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 867 || Mycobacterium florentinum || 292462 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 868 || Mycobacterium fortuitum || 1766 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 869 || Mycobacterium fragae || 1260918 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 870 || Mycobacterium gadium || 1794 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 871 || Mycobacterium gastri || 1777 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 872 || Mycobacterium genavense || 36812 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 873 || Mycobacterium goodii || 134601 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 874 || Mycobacterium gordonae || 1778 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 875 || Mycobacterium grossiae || 1552759 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 876 || Mycobacterium haemophilum || 29311 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 877 || Mycobacterium heckeshornense || 110505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 878 || Mycobacterium heidelbergense || 53376 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 879 || Mycobacterium heraklionense || 512402 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 880 || Mycobacterium holsaticum || 152142 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 881 || Mycobacterium immunogenum || 83262 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 882 || Mycobacterium interjectum || 33895 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 883 || Mycobacterium intermedium || 28445 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 884 || Mycobacterium intracellulare || 1767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 885 || Mycobacterium iranicum || 912594 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 886 || Mycobacterium kansasii || 1768 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 887 || Mycobacterium koreense || 1069220 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 888 || Mycobacterium kubicae || 120959 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 889 || Mycobacterium kumamotonense || 354243 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 890 || Mycobacterium kyorinense || 487514 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 891 || Mycobacterium lacus || 169765 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 892 || Mycobacterium lentiflavum || 141349 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 893 || Mycobacterium leprae || 1769 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 894 || Mycobacterium lepromatosis || 480418 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 895 || Mycobacterium llatzerense || 280871 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 896 || Mycobacterium longobardum || 1108812 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 897 || Mycobacterium mageritense || 53462 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 898 || Mycobacterium malmoense || 1780 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 899 || Mycobacterium mantenii || 560555 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 900 || Mycobacterium marinum || 1781 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 901 || Mycobacterium marseillense || 701042 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 902 || Mycobacterium massiliense || 1962118 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 903 || Mycobacterium microti || 1806 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 904 || Mycobacterium monacense || 85693 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 905 || Mycobacterium mucogenicum || 56689 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 906 || Mycobacterium mungi || 1844474 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 907 || Mycobacterium nebraskense || 244292 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 908 || Mycobacterium neoaurum || 1795 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 909 || Mycobacterium nonchromogenicum || 1782 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 910 || Mycobacterium noviomagense || 459858 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 911 || Mycobacterium palustre || 153971 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 912 || Mycobacterium paraffinicum || 53378 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 913 || Mycobacterium paragordonae || 1389713 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 914 || Mycobacterium parakoreense || 1069221 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 915 || Mycobacterium parascrofulaceum || 240125 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 916 || Mycobacterium paraseoulense || 590652 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 917 || Mycobacterium parmense || 185642 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 918 || Mycobacterium peregrinum || 43304 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 919 || Mycobacterium phocaicum || 319706 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 920 || Mycobacterium pinnipedii || 194542 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 921 || Mycobacterium porcinum || 39693 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 922 || Mycobacterium poriferae || 39694 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 923 || Mycobacterium rhodesiae || 36814 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 924 || Mycobacterium riyadhense || 486698 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 925 || Mycobacterium saskatchewanense || 220927 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 926 || Mycobacterium scrofulaceum || 1783 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 927 || Mycobacterium senegalense || 1796 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 928 || Mycobacterium senuense || 386913 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 929 || Mycobacterium seoulense || 386911 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 930 || Mycobacterium septicum || 98668 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 931 || Mycobacterium setense || 431269 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 932 || Mycobacterium sherrisii || 243061 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 933 || Mycobacterium shimoidei || 29313 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 934 || Mycobacterium shinjukuense || 398694 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 935 || Mycobacterium simiae || 1784 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 936 || Mycobacterium smegmatis || 1772 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 937 || Mycobacterium szulgai || 1787 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 938 || Mycobacterium terrae || 1788 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 939 || Mycobacterium thermoresistibile || 1797 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 940 || Mycobacterium timonense || 701043 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 941 || Mycobacterium tokaiense || 39695 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 942 || Mycobacterium triplex || 47839 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 943 || Mycobacterium triviale || 1798 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 944 || Mycobacterium tuberculosis || 1773 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 945 || Mycobacterium ulcerans || 1809 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 946 || Mycobacterium wolinskyi || 59750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 947 || Mycobacterium xenopi || 1789 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 948 || Mycoplasma amphoriforme || 273136 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 949 || Mycoplasma arginini || 2094 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 950 || Mycoplasma felis || 33923 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 951 || Mycoplasma fermentans || 2115 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 952 || Mycoplasma genitalium || 2097 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 953 || Metamycoplasma hominis&amp;lt;br&amp;gt;(Mycoplasma hominis) || 2098 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 954 || Mycoplasma lipofaciens || 114884 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 955 || Mycoplasma orale || 2121 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 956 || Mycoplasma penetrans || 28227 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 957 || Mycoplasma pirum || 2122 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 958 || Mycoplasma pneumoniae || 2104 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 959 || Mycoplasma salivarium || 2124 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 960 || Mycoplasmoides genitalium || 2097 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 961 || Mycoplasmoides pneumoniae || 2104 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 962 || Mycoplasmopsis fermentans || 2115 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 963 || Myroides injenensis || 1183151 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 964 || Myroides odoratimimus || 76832 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 965 || Myroides odoratus || 256 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 966 || Myroides phaeus || 702745 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 967 || Necropsobacter rosorum || 908285 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 968 || Negativicoccus succinicivorans || 620903 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 969 || Neisseria animaloris || 326522 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 970 || Neisseria bacilliformis || 267212 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 971 || Neisseria canis || 493 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 972 || Neisseria cinerea || 483 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 973 || Neisseria dumasiana || 1931275 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 974 || Neisseria elongata || 495 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 975 || Neisseria flava || 34026 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 976 || Neisseria flavescens || 484 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 977 || Neisseria gonorrhoeae || 485 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 978 || Neisseria lactamica || 486 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 979 || Neisseria macacae || 496 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 980 || Neisseria meningitidis || 487 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 981 || Neisseria mucosa || 488 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 982 || Neisseria oralis || 1107316 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 983 || Neisseria perflava || 33053 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 984 || Neisseria shayeganii || 607712 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 985 || Neisseria sicca || 490 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 986 || Neisseria subflava || 28449 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 987 || Neisseria wadsworthii || 607711 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 988 || Neisseria weaveri || 28091 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 989 || Neisseria zoodegmatis || 326523 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 990 || Neoehrlichia mikurensis || 89586 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 991 || Ehrlichia sennetsu(Neorickettsia sennetsu) || 951 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 992 || Nocardia abscessus || 120957 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 993 || Nocardia africana || 134964 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 994 || Nocardia amikacinitolerans || 756689 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 995 || Nocardia anaemiae || 263910 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 996 || Nocardia aobensis || 257277 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 997 || Nocardia araoensis || 228600 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 998 || Nocardia arizonensis || 1141647 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 999 || Nocardia arthritidis || 228602 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1000 || Nocardia asiatica || 209252 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1001 || Nocardia asteroides || 1824 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1002 || Nocardia barduliensis || 2736643 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1003 || Nocardia beijingensis || 95162 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1004 || Nocardia blacklockiae || 480036 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1005 || Nocardia brasiliensis || 37326 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1006 || Nocardia colli || 2545717 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1007 || Nocardia concava || 257281 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1008 || Nocardia cyriacigeorgici || 135487 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1009 || Nocardia donostiensis || 1538463 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1010 || Nocardia elegans || 300029 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1011 || Nocardia exalbida || 290231 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1012 || Nocardia farcinica || 37329 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1013 || Nocardia gipuzkoensis || 2749991 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1014 || Nocardia harenae || 358707 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1015 || Nocardia higoensis || 228599 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1016 || Nocardia ignorata || 145285 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1017 || Nocardia inohanensis || 209246 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1018 || Nocardia kroppenstedtii || 341199 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1019 || Nocardia kruczakiae || 261477 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1020 || Nocardia mexicana || 279262 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1021 || Nocardia mikamii || 508464 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1022 || Nocardia neocaledoniensis || 236511 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1023 || Nocardia niigatensis || 209249 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1024 || Nocardia ninae || 356145 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1025 || Nocardia niwae || 626084 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1026 || Nocardia nova || 37330 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1027 || Nocardia otitidiscaviarum || 1823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1028 || Nocardia paucivorans || 114259 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1029 || Nocardia pneumoniae || 228601 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1030 || Nocardia pseudobrasiliensis || 45979 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1031 || Nocardia puris || 208602 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1032 || Nocardia senatus || 248552 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1033 || Nocardia shinanonensis || 1769161 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1034 || Nocardia takedensis || 259390 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1035 || Nocardia terpenica || 455432 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1036 || Nocardia testaceus || 248551 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1037 || Nocardia thailandica || 257275 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1038 || Nocardia transvalensis || 37333 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1039 || Nocardia vermiculata || 257274 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1040 || Nocardia veterana || 132249 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1041 || Nocardia vinacea || 96468 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1042 || Nocardia vulneris || 1141657 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1043 || Nocardia wallacei || 480035 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1044 || Nocardia yamanashiensis || 209247 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1045 || Nocardiopsis dassonvillei || 2014 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1046 || Oblitimonas alkaliphila || 1697053 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1047 || Ochrobactrum anthropi || 529 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1048 || Ochrobactrum haematophilum || 419474 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1049 || Ochrobactrum intermedium || 94625 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1050 || Ochrobactrum pseudogrignonense || 419475 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1051 || Ochrobactrum tritici || 94626 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1052 || Odoribacter splanchnicus || 28118 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1053 || Oerskovia turbata || 1713 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1054 || Oligella ureolytica || 90244 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1055 || Oligella urethralis || 90245 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1056 || Oribacterium asaccharolyticum || 1501332 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1057 || Oribacterium parvum || 1501329 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1058 || Oribacterium sinus || 237576 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1059 || Candidatus Orientia mediorientalis(Orientia chuto) || 911112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1060 || Orientia tsutsugamushi || 784 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1061 || Oscillibacter ruminantium || 1263547 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1062 || Paenalcaligenes hominis || 643674 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1063 || Paenibacillus alvei || 44250 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1064 || Paenibacillus amylolyticus || 1451 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1065 || Paenibacillus assamensis || 311244 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1066 || Paenibacillus cineris || 237530 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1067 || Paenibacillus glucanolyticus || 59843 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1068 || Cohnella hongkongensis(Paenibacillus hongkongensis) || 178337 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1069 || Paenibacillus konsidensis || 479474 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1070 || Paenibacillus macerans || 44252 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1071 || Paenibacillus massiliensis || 225917 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1072 || Paenibacillus polymyxa || 1406 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1073 || Paenibacillus provencensis || 441151 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1074 || Paenibacillus residui || 629724 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1075 || Paenibacillus sanguinis || 225906 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1076 || Paenibacillus sputi || 646095 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1077 || Paenibacillus thiaminolyticus || 49283 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1078 || Paenibacillus timonensis || 225915 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1079 || Paenibacillus turicensis || 160487 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1080 || Paenibacillus vulneris || 1133364 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1081 || Pandoraea apista || 93218 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1082 || Pandoraea fibrosis || 1891094 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1083 || Pandoraea pnomenusa || 93220 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1084 || Pandoraea pulmonicola || 93221 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1085 || Pandoraea sputorum || 93222 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1086 || Pantoea agglomerans || 549 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1087 || Pantoea ananatis || 553 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1088 || Pantoea brenneri || 472694 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1089 || Pantoea calida || 665913 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1090 || Pantoea conspicua || 472705 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1091 || Pantoea dispersa || 59814 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1092 || Pantoea eucrina || 472693 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1093 || Pantoea septica || 472695 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1094 || Parabacteroides chongii || 2685834 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1095 || Parabacteroides distasonis || 823 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1096 || Parabacteroides goldsteinii || 328812 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1097 || Parabacteroides gordonii || 574930 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1098 || Paraclostridium bifermentans || 1490 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1099 || Paraclostridium dentum || 2662455 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1100 || Paracoccus sanguinis || 1545044 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1101 || Paracoccus yeeii || 147645 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1102 || Paraeggerthella hongkongensis || 230658 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1103 || Parapseudoflavitalea muciniphila || 2100819 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1104 || Parvimonas micra || 33033 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1105 || Pasteurella aerogenes || 749 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1106 || Pasteurella bettyae || 752 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1107 || Pasteurella caballi || 243701 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1108 || Pasteurella canis || 753 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1109 || Pasteurella dagmatis || 754 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1110 || Pasteurella multocida || 747 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1111 || Pasteurella pneumotropica || 758 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1112 || Pasteurella stomatis || 760 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1113 || Peptococcus niger || 2741 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1114 || Peptoniphilus asaccharolyticus || 1258 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1115 || Aedoeadaptatus coxii(Peptoniphilus coxii) || 755172 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1116 || Peptoniphilus duerdenii || 507750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1117 || Peptoniphilus gorbachii || 411567 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1118 || Peptoniphilus harei || 54005 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1119 || Peptoniphilus koenoeneniae || 507751 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1120 || Peptoniphilus lacydonensis || 1673725 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1121 || Peptoniphilus nemausus || 2582829 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1122 || Peptoniphilus olsenii || 411570 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1123 || Peptoniphilus tyrrelliae || 755171 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1124 || Peptostreptococcus anaerobius || 1261 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1125 || Peptostreptococcus asaccharolyticus || 1258 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1126 || Peptostreptococcus ivorii || 54006 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1127 || Peptostreptococcus lactolyticus || 33032 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1128 || Peptostreptococcus magnus || 1260 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1129 || Peptostreptococcus prevotii || 33034 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1130 || Peptostreptococcus stomatis || 341694 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1131 || Peptostreptococcus vaginalis || 33037 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1132 || Phocaeicola abscessus || 555313 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1133 || Photobacterium damselae || 38293 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1134 || Photorhabdus asymbiotica || 291112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1135 || Plesiomonas shigelloides || 703 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1136 || Pluralibacter gergoviae || 61647 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1137 || Pontibacter altruii || 1908342 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1138 || Porphyromonas asaccharolytica || 28123 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1139 || Porphyromonas bennonis || 501496 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1140 || Porphyromonas catoniae || 41976 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1141 || Porphyromonas circumdentaria || 29524 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1142 || Porphyromonas endodontalis || 28124 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1143 || Porphyromonas gingivalis || 837 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1144 || Porphyromonas levii || 28114 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1145 || Porphyromonas macacae || 28115 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1146 || Porphyromonas somerae || 322095 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1147 || Porphyromonas uenonis || 281920 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1148 || Prescottia equi || 43767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1149 || Prevotella amnii || 419005 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1150 || Prevotella aurantiaca || 596085 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1151 || Segatella baroniae(Prevotella baroniae) || 305719 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1152 || Prevotella bergensis || 242750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1153 || Prevotella bivia || 28125 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1154 || Prevotella brunnea || 2508867 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1155 || Segatella buccae(Prevotella buccae) || 28126 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1156 || Prevotella buccalis || 28127 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1157 || Prevotella colorans || 1703337 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1158 || Prevotella corporis || 28128 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1159 || Prevotella dentalis || 52227 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1160 || Prevotella denticola || 28129 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1161 || Prevotella disiens || 28130 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1162 || Prevotella enoeca || 76123 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1163 || Prevotella fusca || 589436 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1164 || Prevotella heparinolytica || 28113 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1165 || Prevotella intermedia || 28131 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1166 || Prevotella loescheii || 840 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1167 || Prevotella maculosa || 439703 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1168 || Hoylesella marshii(Prevotella marshii) || 189722 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1169 || Prevotella massiliensis || 329988 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1170 || Prevotella melaninogenica || 28132 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1171 || Prevotella multiformis || 282402 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1172 || Hallella multisaccharivorax(Prevotella multisaccharivorax) || 310514 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1173 || Hoylesella nanceiensis(Prevotella nanceiensis) || 425941 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1174 || Prevotella nigrescens || 28133 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1175 || Hoylesella oralis(Prevotella oralis) || 28134 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1176 || Segatella oris(Prevotella oris) || 28135 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1177 || Prevotella oulora || 28136 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1178 || Prevotella pleuritidis || 407975 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1179 || Xylanibacter ruminicola(Prevotella ruminicola) || 839 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1180 || Prevotella scopos || 589437 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1181 || Hoylesella timonensis(Prevotella timonensis) || 386414 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1182 || Prevotella veroralis || 28137 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1183 || Prevotella vespertina || 2608404 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1184 || Prevotella zoogleoformans || 28119 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1185 || Propionibacterium acidifaciens || 556499 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1186 || Propionibacterium acnes || 1747 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1187 || Propionibacterium avidum || 33010 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1188 || Cutibacterium granulosum(Propionibacterium granulosum) || 33011 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1189 || Propionibacterium namnetense || 1574624 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1190 || Arachnia propionica(Propionibacterium propionicum) || 1750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1191 || Proteus faecis || 2050967 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1192 || Proteus mirabilis || 584 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1193 || Proteus penneri || 102862 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1194 || Proteus vulgaris || 585 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1195 || Providencia alcalifaciens || 126385 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1196 || Providencia heimbachae || 333962 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1197 || Providencia rettgeri || 587 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1198 || Providencia stuartii || 588 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1199 || Gulosibacter bifidus(Pseudoclavibacter bifida) || 272239 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1200 || Pseudomonas aeruginosa || 287 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1201 || Aquipseudomonas alcaligenes(Pseudomonas alcaligenes) || 43263 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1202 || Pseudomonas andersonii || 147728 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1203 || Pseudomonas asiatica || 2219225 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1204 || Pseudomonas fluorescens || 294 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1205 || Pseudomonas fulva || 47880 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1206 || Pseudomonas japonica || 256466 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1207 || Pseudomonas juntendi || 2666183 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1208 || Pseudomonas luteola || 47886 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1209 || Pseudomonas mendocina || 300 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1210 || Pseudomonas monteilii || 76759 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1211 || Pseudomonas mosselii || 78327 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1212 || Pseudomonas nosocomialis || 1056496 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1213 || Pseudomonas oryzihabitans || 47885 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1214 || Pseudomonas otitidis || 319939 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1215 || Pseudomonas pickettii || 329 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1216 || Pseudomonas poae || 200451 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1217 || Pseudomonas pseudoalcaligenes || 301 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1218 || Pseudomonas putida || 303 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1219 || Pseudomonas stutzeri || 316 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1220 || Pseudomonas yangonensis || 2579922 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1221 || Pseudonocardia autotrophica || 2074 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1222 || Pseudonocardia carboxydivorans || 415010 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1223 || Pseudonocardia oroxyli || 366584 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1224 || Pseudopropionibacterium propionicum || 1750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1225 || Pseudoramibacter alactolyticus || 113287 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1226 || Pseudoxanthomonas winnipegensis || 2480810 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1227 || Psychrobacter arenosus || 256326 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1228 || Psychrobacter faecalis || 180588 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1229 || Psychrobacter immobilis || 498 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1230 || Psychrobacter phenylpyruvicus || 29432 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1231 || Psychrobacter sanguinis || 861445 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1232 || Pyramidobacter piscolens || 638849 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1233 || Rahnella aquatilis || 34038 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1234 || Ralstonia gilardii || 82541 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1235 || Ralstonia mannitolytica || 105219 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1236 || Ralstonia pickettii || 329 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1237 || Ralstonia respiraculi || 195930 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1238 || Raoultella ornithinolytica || 54291 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1239 || Raoultella planticola || 575 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1240 || Rhizobium pusense || 648995 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1241 || Rhodococcus corynebacterioides || 53972 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1242 || Prescottella equi(Rhodococcus equi) || 43767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1243 || Rhodococcus erythropolis || 1833 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1244 || Rhodococcoides fascians(Rhodococcus fascians) || 1828 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1245 || Rhodococcus globerulus || 33008 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1246 || Rhodococcus gordoniae || 223392 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1247 || Rhodococcus rhodnii || 38312 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1248 || Rhodococcus rhodochrous || 1829 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1249 || Rickettsia aeschlimannii || 45262 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1250 || Rickettsia africae || 35788 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1251 || Rickettsia akari || 786 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1252 || Rickettsia australis || 787 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1253 || Rickettsia conorii || 781 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1254 || Rickettsia felis || 42862 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1255 || Rickettsia heilongjiangensis || 226665 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1256 || Rickettsia helvetica || 35789 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1257 || Rickettsia honei || 37816 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1258 || Rickettsia japonica || 35790 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1259 || Rickettsia massiliae || 35791 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1260 || Rickettsia monacensis || 109232 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1261 || Rickettsia sibirica subsp. mongolitimonae(Rickettsia mongolotimonae) || 45261 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1262 || Rickettsia parkeri || 35792 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1263 || Rickettsia prowazekii || 782 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1264 || Rickettsia raoultii || 369822 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1265 || Rickettsia rickettsii || 783 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1266 || Rickettsia sibirica || 35793 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1267 || Rickettsia slovaca || 35794 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1268 || Rickettsia tamurae || 334545 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1269 || Rickettsia typhi || 785 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1270 || Rickettsia xinyangensis || 0 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1271 || Robinsoniella peoriensis || 180332 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1272 || Rodentibacter pneumotropicus || 758 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1273 || Roseomonas cervicalis || 204525 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1274 || Roseomonas gilardii || 257708 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1275 || Roseomonas mucosa || 207340 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1276 || Rothia aeria || 172042 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1277 || Rothia dentocariosa || 2047 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1278 || Rothia mucilaginosa || 43675 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1279 || Ruminococcus gnavus || 33038 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1280 || Ruminococcus productus || 33035 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1281 || Saccharomonospora viridis || 1852 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1282 || Saccharopolyspora rectivirgula || 28042 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1283 || Saccharopolyspora rosea || 524884 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1284 || Saezia sanguinis || 1965230 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1285 || Salmonella bongori || 54736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1286 || Salmonella choleraesuis || 28901 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1287 || Salmonella enterica || 28901 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1288 || Salmonella enteritidis || 149539 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1289 || Salmonella typhi || 90370 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1290 || Salmonella typhimurium || 90371 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1291 || Scandinavium goeteborgense || 1851514 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1292 || Scardovia wiggsiae || 230143 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1293 || Sciscionella marina || 508770 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1294 || Sebaldella termitidis || 826 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1295 || Sedimentibacter hongkongensis || 178338 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1296 || Segniliparus rotundus || 286802 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1297 || Segniliparus rugosus || 286804 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1298 || Selenomonas artemidis || 671224 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1299 || Selenomonas dianae || 135079 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1300 || Selenomonas flueggei || 135080 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1301 || Selenomonas infelix || 135082 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1302 || Selenomonas noxia || 135083 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1303 || Selenomonas sputigena || 69823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1304 || Serratia ficaria || 61651 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1305 || Serratia fonticola || 47917 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1306 || Serratia liquefaciens || 614 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1307 || Serratia marcescens || 615 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1308 || Serratia odorifera || 618 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1309 || Serratia plymuthica || 82996 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1310 || Serratia proteamaculans || 28151 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1311 || Serratia rubidaea || 61652 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1312 || Shewanella algae || 38313 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1313 || Shewanella haliotis || 38313 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1314 || Shewanella xiamenensis || 332186 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1315 || Shigella boydii || 621 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1316 || Shigella dysenteriae || 622 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1317 || Shigella flexneri || 623 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1318 || Shigella sonnei || 624 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1319 || Shuttleworthia satelles || 177972 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1320 || Simkania negevensis || 83561 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1321 || Slackia exigua || 84109 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1322 || Sneathia amnii || 187101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1323 || Sneathia sanguinegens || 40543 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1324 || Sodalis praecaptivus || 1239307 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1325 || Solobacterium moorei || 102148 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1326 || Sphingobacterium cellulitidis || 1768011 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1327 || Sphingobacterium hotanense || 649196 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1328 || Sphingobacterium multivorum || 28454 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1329 || Sphingobacterium spiritivorum || 258 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1330 || Sphingomonas koreensis || 93064 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1331 || Sphingomonas paucimobilis || 13689 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1332 || Spiroplasma apis || 2137 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1333 || Staphylococcus argenteus || 985002 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1334 || Staphylococcus aureus || 1280 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1335 || Staphylococcus borealis || 2742203 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1336 || Staphylococcus capitis || 29388 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1337 || Staphylococcus caprae || 29380 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1338 || Staphylococcus cohnii || 29382 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1339 || Staphylococcus condimenti || 70255 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1340 || Staphylococcus cornubiensis || 1986155 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1341 || Staphylococcus delphini || 53344 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1342 || Staphylococcus epidermidis || 1282 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1343 || Staphylococcus equorum || 246432 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1344 || Staphylococcus gallinarum || 1293 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1345 || Staphylococcus haemolyticus || 1283 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1346 || Staphylococcus hominis || 1290 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1347 || Staphylococcus hyicus || 1284 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1348 || Staphylococcus intermedius || 1285 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1349 || Staphylococcus lentus || 42858 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1350 || Staphylococcus lugdunensis || 28035 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1351 || Staphylococcus massiliensis || 555791 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1352 || Staphylococcus pasteuri || 45972 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1353 || Staphylococcus pettenkoferi || 170573 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1354 || Staphylococcus pseudintermedius || 283734 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1355 || Staphylococcus pseudolugdunensis || 425474 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1356 || Staphylococcus saccharolyticus || 33028 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1357 || Staphylococcus saprophyticus || 29385 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1358 || Staphylococcus schleiferi || 1295 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1359 || Mammaliicoccus sciuri(Staphylococcus sciuri) || 1296 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1360 || Staphylococcus simulans || 1286 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1361 || Staphylococcus succinus || 61015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1362 || Staphylococcus warneri || 1292 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1363 || Staphylococcus xylosus || 1288 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1364 || Stenotrophomonas africana || 1292134 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1365 || Stenotrophomonas maltophilia || 40324 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1366 || Stomatobaculum longum || 796942 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1367 || Streptobacillus hongkongensis || 1162717 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1368 || Streptobacillus moniliformis || 34105 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1369 || Streptococcus acidominimus || 1326 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1370 || Streptococcus agalactiae || 1311 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1371 || Streptococcus alactolyticus || 29389 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1372 || Streptococcus anginosus || 1328 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1373 || Streptococcus australis || 113107 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1374 || Streptococcus bovis || 1335 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1375 || Streptococcus canis || 1329 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1376 || Streptococcus constellatus || 76860 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1377 || Streptococcus criceti || 1333 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1378 || Streptococcus cristatus || 45634 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1379 || Streptococcus devriesei || 231233 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1380 || Streptococcus dysgalactiae || 1334 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1381 || Streptococcus equi || 1336 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1382 || Streptococcus equinus || 1335 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1383 || Streptococcus gallinaceus || 165758 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1384 || Streptococcus gordonii || 1302 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1385 || Streptococcus halichoeri || 254785 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1386 || Streptococcus hongkongensis || 910939 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1387 || Streptococcus infantarius || 102684 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1388 || Streptococcus iniae || 1346 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1389 || Streptococcus intermedius || 1338 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1390 || Streptococcus lactarius || 684066 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1391 || Streptococcus massiliensis || 313439 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1392 || Streptococcus merionis || 400065 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1393 || Streptococcus minor || 229549 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1394 || Streptococcus mitis || 28037 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1395 || Streptococcus mutans || 1309 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1396 || Streptococcus oralis || 1303 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1397 || Streptococcus parasanguinis || 1318 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1398 || Streptococcus pasteurianus || 197614 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1399 || Streptococcus pluranimalium || 82348 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1400 || Streptococcus pneumoniae || 1313 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1401 || Streptococcus porcinus || 1340 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1402 || Streptococcus pseudopneumoniae || 257758 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1403 || Streptococcus pseudoporcinus || 361101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1404 || Streptococcus pyogenes || 1314 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1405 || Streptococcus salivarius || 1304 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1406 || Streptococcus sanguis || 1305 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1407 || Streptococcus sinensis || 176090 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1408 || Streptococcus sobrinus || 1310 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1409 || Streptococcus suis || 1307 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1410 || Streptococcus thoraltensis || 55085 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1411 || Streptococcus tigurinus || 1077464 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1412 || Streptococcus uberis || 1349 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1413 || Streptococcus urinalis || 149016 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1414 || Streptococcus vestibularis || 1343 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1415 || Streptomyces albus || 1888 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1416 || Streptomyces bikiniensis || 1896 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1417 || Streptomyces cacaoi || 1898 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1418 || Streptomyces griseus || 1911 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1419 || Streptomyces lanatus || 66900 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1420 || Streptomyces somaliensis || 78355 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1421 || Streptomyces thermovulgaris || 1934 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1422 || Sutterella wadsworthensis || 40545 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1423 || Suttonella indologenes || 13276 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1424 || Tannerella forsythia || 28112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1425 || Tannerella serpentiformis || 712710 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1426 || Tatlockia maceachernii || 466 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1427 || Tatlockia micdadei || 451 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1428 || Tatumella ptyseos || 82987 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1429 || Tatumella saanichensis || 480813 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1430 || Tepidimonas arfidensis || 288769 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1431 || Terrisporobacter glycolicus || 36841 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1432 || Tissierella carlieri || 689904 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1433 || Tissierella praeacuta || 43131 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1434 || Treponema amylovorum || 59892 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1435 || Treponema carateum || 0 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1436 || Treponema denticola || 158 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1437 || Treponema lecithinolyticum || 53418 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1438 || Treponema maltophilum || 51160 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1439 || Treponema medium || 58231 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1440 || Treponema pallidum || 160 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1441 || Treponema parvum || 138851 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1442 || Treponema pectinovorum || 164 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1443 || Treponema putidum || 221027 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1444 || Treponema socranskii || 53419 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1445 || Tropheryma whippelii || 2039 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1446 || Tropheryma whipplei || 2039 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1447 || Trueperella bernardiae || 59561 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1448 || Trueperella pyogenes || 1661 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1449 || Tsukamurella asaccharolytica || 2592067 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1450 || Tsukamurella conjunctivitidis || 2592068 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1451 || Tsukamurella hominis || 1970232 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1452 || Tsukamurella hongkongensis || 1671023 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1453 || Tsukamurella inchonensis || 42777 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1454 || Tsukamurella ocularis || 1970234 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1455 || Tsukamurella paurometabola || 2061 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1456 || Tsukamurella pulmonis || 47312 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1457 || Tsukamurella sinensi || 1671022 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1458 || Tsukamurella sputi || 2591848 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1459 || Tsukamurella strandjordae || 147577 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1460 || Tsukamurella tyrosinosolvens || 57704 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1461 || Turicella otitidis || 29321 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1462 || Turicibacter sanguinis || 154288 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1463 || Ureaplasma urealyticum || 2130 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1464 || Vagococcus fluvialis || 2738 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1465 || Vagococcus lutrae || 81947 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1466 || Vagococcus vulneris || 1977869 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1467 || Varibaculum cambriensis || 184870 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1468 || Veillonella atypica || 39777 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1469 || Veillonella denticariosi || 419208 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1470 || Veillonella dispar || 39778 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1471 || Veillonella montpellierensis || 187328 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1472 || Veillonella parvula || 29466 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1473 || Veillonella rogosae || 423477 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1474 || Vibrio alginolyticus || 663 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1475 || Vibrio anguillarum || 55601 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1476 || Vibrio cholerae || 666 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1477 || Vibrio cidicii || 1763883 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1478 || Vibrio cincinnatiensis || 675 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1479 || Vibrio fluvialis || 676 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1480 || Vibrio furnissii || 29494 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1481 || Vibrio harveyi || 669 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1482 || Vibrio hollisae || 673 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1483 || Vibrio injenensis || 1307414 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1484 || Vibrio metschnikovii || 28172 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1485 || Vibrio mimicus || 674 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1486 || Vibrio parahaemolyticus || 670 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1487 || Vibrio vulnificus || 672 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1488 || Waddlia chondrophila || 71667 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1489 || Wautersiella falsenii || 343874 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1490 || Weeksella massiliensi || 1461577 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1491 || Weeksella virosa || 1014 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1492 || Weeksella zoohelcum || 1015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1493 || Weissella confusa || 1583 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1494 || Williamsia deligens || 321325 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1495 || Williamsia muralis || 85044 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1496 || Williamsia serinedens || 391736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1497 || Wohlfahrtiimonas chitiniclastica || 400946 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1498 || Wolinella succinogenes || 844 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1499 || Xenophilus aerolatus || 452922 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1500 || Yersinia bercovieri || 634 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1501 || Yersinia canariae || 2607663 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1502 || Yersinia enterocolitica || 630 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1503 || Yersinia frederiksenii || 29484 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1504 || Yersinia intermedia || 631 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1505 || Yersinia kristensenii || 28152 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1506 || Yersinia mollaretii || 33060 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1507 || Yersinia pestis || 632 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1508 || Yersinia pseudotuberculosis || 633 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1509 || Yersinia rohdei || 29485 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1510 || Yersinia ruckeri || 29486 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1511 || Yokenella regensburgei || 158877 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1512 || Arcanobacteria haemolyticum || 28264 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1513 || Corynebacteria diphtheriae || 1717 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1514 || Corynebacteria striatum || 43770 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1515 || Cryptococcus neoformans || 5207 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1516 || Escherichia coli O104:H4 || 1038927 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1517 || Histoplasma capsulatum || 447093 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1518 || Mycobacteria avium || 1770 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1519 || Mycobacteria intracellulare || 1767 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1520 || Mycobacteria kansasii || 1768 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1521 || Mycobacteria tuberculosis || 1773 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1522 || Nocardia cyriacigeorgica || 135487 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1523 || Nocardia huaxiensis || 2755382 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1524 || Nocardia iowensis || 204891 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1525 || Nocardia salmonicida || 53431 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1526 || Nocardia sp. FDAARGOS_372 || 2018066 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1527 || Nocardia sp. NBC_00403 || 2975990 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1528 || Nocardia sp. NBC_00416 || 2975991 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1529 || Nocardia sp. NBC_00508 || 2975992 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1530 || Nocardia sp. NBC_00565 || 2975993 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1531 || Nocardia sp. NBC_01327 || 2903593 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1532 || Nocardia sp. NBC_01329 || 2903594 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1533 || Nocardia sp. NBC_01503 || 2975997 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1534 || Nocardia sp. NBC_01730 || 2975998 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1535 || Streptococcus sp. &#039;group B&#039; || 1319 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1536 || Streptococcus viridans || 78535 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1537 || Lactobacillus crispatus || 47770 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1538 || Achromobacter deleyi || 1353891 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1539 || Achromobacter pestifer || 1353889 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1540 || Acinetobacter sp. FDAARGOS_131 || 1876769 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1541 || Acinetobacter sp. FDAARGOS_493 || 2420300 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1542 || Acinetobacter sp. FDAARGOS_494 || 2420301 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1543 || Acinetobacter sp. FDAARGOS_495 || 2420302 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1544 || Acinetobacter sp. FDAARGOS_515 || 2420307 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1545 || Acinetobacter sp. FDAARGOS_541 || 2420312 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1546 || Acinetobacter sp. FDAARGOS_558 || 2420303 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1547 || Acinetobacter sp. FDAARGOS_559 || 2420304 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1548 || Acinetobacter sp. FDAARGOS_560 || 2420305 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1549 || Acinetobacter sp. FDAARGOS_724 || 2545797 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1550 || Aeromonas allosaccharophila || 656 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1551 || Aeromonas enteropelogenes || 29489 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1552 || Aeromonas sp. FDAARGOS 1402 || 2778051 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1553 || Aeromonas sp. FDAARGOS 1403 || 2778052 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1554 || Aeromonas sp. FDAARGOS 1404 || 2778053 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1555 || Aeromonas sp. FDAARGOS 1405 || 2778054 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1556 || Aeromonas sp. FDAARGOS 1406 || 2778055 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1557 || Aeromonas sp. FDAARGOS 1407 || 2778056 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1558 || Aeromonas sp. FDAARGOS 1408 || 2778057 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1559 || Aeromonas sp. FDAARGOS 1409 || 2778058 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1560 || Aeromonas sp. FDAARGOS 1410 || 2778059 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1561 || Aeromonas sp. FDAARGOS 1411 || 2778060 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1562 || Aeromonas sp. FDAARGOS 1414 || 2778063 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1563 || Aeromonas sp. FDAARGOS 1415 || 2778064 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1564 || Aeromonas sp. FDAARGOS 1416 || 2778065 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1565 || Aeromonas sp. FDAARGOS 1417 || 2778066 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1566 || Aeromonas sp. FDAARGOS 1418 || 2778067 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1567 || Aeromonas sp. FDAARGOS 1419 || 2778068 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1568 || Agrobacterium pusense || 648995 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1569 || Agrobacterium sp. FDAARGOS_525 || 2420311 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1570 || Alistipes senegalensis || 1288121 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1571 || Anaerococcus degeneri || 361500 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1572 || Anaerococcus obesiensis || 1287640 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1573 || Arachnia propionica || 1750 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1574 || Bacillus sp. (in: firmicutes) || 1409 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1575 || Bacillus sp. FDAARGOS_1420 || 2856338 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1576 || Bacillus sp. FDAARGOS_235 || 1839798 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1577 || Bacillus sp. FDAARGOS_527 || 2576356 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1578 || Bacillus tropicus || 2026188 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1579 || Bacteroides cellulosilyticus || 246787 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1580 || Bartonella henselae str. Houston-1 || 283166 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1581 || Bifidobacterium breve || 1685 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1582 || Blautia massiliensis (ex Durand et al. 2017) || 1737424 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1583 || Borreliella burgdorferi || 139 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1584 || Brucella anthropi || 529 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1585 || Burkholderia gladioli pv. gladioli || 32009 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1586 || Burkholderia humptydooensis || 430531 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1587 || Burkholderia plantarii || 41899 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1588 || Capnocytophaga sp. FDAARGOS_737 || 2545799 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1589 || Cedecea sp. FDAARGOS_727 || 2545798 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1590 || Chryseobacterium arthrosphaerae || 651561 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1591 || Chryseobacterium gallinarum || 1324352 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1592 || Chryseobacterium sp. FDAARGOS 1104 || 2778077 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1593 || Citrobacter europaeus || 1914243 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1594 || Citrobacter portucalensis || 1639133 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1595 || Citrobacter sp. FDAARGOS_156 || 1702170 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1596 || Clavispora lusitaniae || 36911 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1597 || Clostridium scindens || 29347 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1598 || Clostridium sp. M62/1 || 411486 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1599 || Collinsella stercoris || 445975 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1600 || Comamonas terrigena || 32013 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1601 || Coprococcus comes || 410072 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1602 || Coprococcus eutactus || 411474 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1603 || Corynebacterium kefirresidentii || 1979527 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1604 || Corynebacterium sp. FDAARGOS 1242 || 2778078 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1605 || Cryptococcus deneoformans || 214684 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1606 || Cryptococcus gattii || 37769 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1607 || Cupriavidus necator || 106590 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1608 || Dermabacter vaginalis || 1630135 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1609 || Dermacoccus nishinomiyaensis || 1274 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1610 || Enterobacter roggenkampii || 1812935 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1611 || Enterocloster bolteae || 208479 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1612 || Enterocloster clostridioformis || 1531 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1613 || Enterococcus sp. FDAARGOS_375 || 2060307 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1614 || Enterococcus sp. FDAARGOS_553 || 2420313 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1615 || Enterovirus A71 || 39054 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1616 || Enterovirus B || 138949 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1617 || Enterovirus C99 || 1295563 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1618 || Fannyhessea vaginae || 40545 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1619 || Faucicola osloensis || 34062 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1620 || Fusobacterium canifelinum || 285729 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1621 || Grimontia hollisae || 673 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1622 || Heyndrickxia coagulans || 1398 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1623 || Hoylesella buccalis || 28127 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1624 || Jonesia denitrificans || 43674 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1625 || Klebsiella michiganensis || 1134687 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1626 || Klebsiella sp. FDAARGOS_511 || 2488567 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1627 || Lachnospira eligens || 39485 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1628 || Lachnospiraceae bacterium GAM79 || 2109691 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1629 || Lacrimispora saccharolytica || 84030 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1630 || Lactococcus lactis || 1358 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1631 || Leishmania donovani || 5661 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1632 || Leuconostoc falkenbergense || 2766470 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1633 || Lomentospora prolificans || 41688 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1634 || Lysinibacillus macroides || 33935 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1635 || Macrococcoides caseolyticum || 69966 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1636 || Madurella fahalii || 1157608 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1637 || Mammaliicoccus vitulinus || 71237 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1638 || Mediterraneibacter gnavus || 33038 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1639 || Micrococcus sp. FDAARGOS_333 || 1930558 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1640 || Mycobacterium ostraviense || 2738409 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1641 || Mycobacteroides abscessus || 1185650 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1642 || Mycolicibacterium smegmatis || 1772 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1643 || Niallia circulans || 1397 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1644 || Pantoea sp. FDAARGOS_194 || 1975707 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1645 || Pantoea vagans || 470934 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1646 || Parabacteroides johnsonii || 387661 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1647 || Parabacteroides merdae || 46503 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1648 || Paraburkholderia fungorum || 134537 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1649 || Paraburkholderia ginsengisoli || 311231 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1650 || Paracoccus yeei || 147645 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1651 || Pediococcus acidilactici || 1254 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1652 || Pediococcus pentosaceus || 1255 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1653 || Peribacillus psychrosaccharolyticus || 1407 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1654 || Phocaeicola coprophilus || 387090 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1655 || Phocaeicola dorei(Bacteroides dorei) || 357276 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1656 || Pichia kudriavzevii || 4909 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1657 || Plasmodium falciparum || 36329 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1658 || Pseudomonas protegens || 380021 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1659 || Pseudomonas sp. FDAARGOS_380 || 2018067 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1660 || Pseudomonas sp. FDAARGOS_761 || 2545800 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1661 || Psychrobacter cryohalolentis || 330922 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1662 || Psychrobacter sp. FDAARGOS_221 || 1975705 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1663 || Rhodanobacter sp. FDAARGOS 1247 || 2778082 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1664 || Roseburia inulinivorans || 622312 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1665 || Roseobacter denitrificans || 2434 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1666 || Rothia kristinae || 37923 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1667 || Ruminococcus albus 8 || 246199 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1668 || Salmonella enterica subsp. enterica serovar Bredeney || 134047 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1669 || Salmonella enterica subsp. enterica serovar Hadar || 149385 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1670 || Salmonella enterica subsp. enterica serovar Heidelberg || 611 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1671 || Salmonella enterica subsp. enterica serovar Ohio || 117541 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1672 || Salmonella enterica subsp. enterica serovar Typhimurium || 90371 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1673 || Salmonella enterica subsp. enterica serovar Typhimurium var. 5- || 1620419 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1674 || Schaalia odontolytica || 1660 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1675 || Segatella copri || 537011 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1676 || Serratia sp. FDAARGOS_506 || 2420306 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1677 || Serratia ureilytica || 300181 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1678 || Severe acute respiratory syndrome coronavirus 2 || 2697049 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1679 || Shewanella putrefaciens || 24 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1680 || Shewanella sp. FDAARGOS_354 || 1930557 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1681 || Simplexvirus humanalpha1 || 10298 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1682 || Staphylococcus auricularis || 29379 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1683 || Staphylococcus carnosus || 1281 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1684 || Staphylococcus felis || 46127 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1685 || Staphylococcus sp. FDAARGOS_39 || 2201033 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1686 || Streptococcus gallolyticus || 315405 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1687 || Streptococcus lutetiensis || 150055 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1688 || Streptococcus sanguinis || 1305 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1689 || Streptococcus sp. FDAARGOS_146 || 1702171 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1690 || Streptococcus sp. FDAARGOS_192 || 1839799 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1691 || Streptococcus sp. FDAARGOS_256 || 1975706 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1692 || Streptococcus sp. FDAARGOS_520 || 2420308 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1693 || Streptococcus sp. FDAARGOS_521 || 2420309 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1694 || Streptococcus sp. FDAARGOS_522 || 2420310 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1695 || Streptococcus thermophilus || 322159 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1696 || Streptomyces californicus || 67351 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1697 || Stutzerimonas balearica || 74829 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1698 || Stutzerimonas degradans || 2968968 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1699 || Stutzerimonas frequens || 2968969 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1700 || Stutzerimonas stutzeri || 316 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1701 || Talaromyces marneffei || 37727 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1702 || Thomasclavelia ramosa || 1547 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1703 || Vibrio diabolicus || 50719 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1704 || Weissella paramesenteroides || 1249 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1705 || Yersinia sp. FDAARGOS_228 || 1839800 ||  || FDA-ARGOS&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Viral Pathogens ==&lt;br /&gt;
&amp;lt;div style=&amp;quot;height: 500px; overflow-y: auto;&amp;quot;&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
! # !! Organism Name !! NCBI_taxid !! Source_PMID !! Source_ARGOS !! Source_Uniprot&lt;br /&gt;
|-&lt;br /&gt;
| 1 || Ljunganvirus 1 (LV) (Ljungan virus 1) || 1001061 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 2 || Influenza C virus (strain C/Johannesburg/1/1966) || 100673 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 3 || Influenza A virus (strain A/Chicken/Hong Kong/220/1997 H5N1 genotype Gs/Gd) || 100834 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 4 || Cowpox virus (CPV) || 10243 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 5 || Monkeypox virus || 10244 ||  || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 6 || Vaccinia virus (strain LC16m0) (VACV) || 10246 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 7 || Vaccinia virus (strain WR 65-16) (VACV) || 10247 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 8 || Vaccinia virus (strain LC16m8) (VACV) || 10248 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 9 || Vaccinia virus (strain Copenhagen) (VACV) || 10249 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 10 || Vaccinia virus (strain Dairen I) (VACV) || 10250 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 11 || Vaccinia virus (strain IHD-J) (VACV) || 10251 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 12 || Vaccinia virus (strain Lister) (VACV) || 10252 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 13 || Vaccinia virus (strain Tian Tan) (VACV) || 10253 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 14 || Variola virus || 10255 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 15 || Orf virus (ORFV) || 10258 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 16 || Orf virus (strain NZ2) (OV NZ-2) || 10259 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 17 || Molluscum contagiosum virus subtype 1 (MOCV) (MCVI) || 10280 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 18 || Molluscum contagiosum virus subtype 2 (MOCV) (MCVII) || 10281 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 19 || Human herpesvirus 1 (HHV-1) (Human herpes simplex virus 1) || 10298 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 20 || Human herpesvirus 1 (strain 17) (HHV-1) (Human herpes simplex virus 1) || 10299 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 21 || Human herpesvirus 1 (strain A44) (HHV-1) (Human herpes simplex virus 1) || 10300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 22 || Human herpesvirus 1 (strain Angelotti) (HHV-1) (Human herpes simplex virus 1) || 10301 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 23 || Human herpesvirus 1 (strain CL101) (HHV-1) (Human herpes simplex virus 1) || 10302 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 24 || Human herpesvirus 1 (strain HFEM) (HHV-1) (Human herpes simplex virus 1) || 10303 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 25 || Human herpesvirus 1 (strain F) (HHV-1) (Human herpes simplex virus 1) || 10304 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 26 || Human herpesvirus 1 (strain HZT) (HHV-1) (Human herpes simplex virus 1) || 10305 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 27 || Human herpesvirus 1 (strain KOS) (HHV-1) (Human herpes simplex virus 1) || 10306 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 28 || Human herpesvirus 1 (strain MP) (HHV-1) (Human herpes simplex virus 1) || 10307 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 29 || Human herpesvirus 1 (strain Patton) (HHV-1) (Human herpes simplex virus 1) || 10308 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 30 || Human herpesvirus 1 (strain SC16) (HHV-1) (Human herpes simplex virus 1) || 10309 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 31 || Human herpesvirus 2 (HHV-2) (Human herpes simplex virus 2) || 10310 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 32 || Human herpesvirus 2 (strain 186) (HHV-2) (Human herpes simplex virus 2) || 10312 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 33 || Human herpesvirus 2 (strain 333) (HHV-2) (Human herpes simplex virus 2) || 10313 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 34 || Human herpesvirus 2 (strain G) (HHV-2) (Human herpes simplex virus 2) || 10314 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 35 || Human herpesvirus 2 (strain HG52) (HHV-2) (Human herpes simplex virus 2) || 10315 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 36 || Herpes simplex virus type 2 (strain SA8) (Simian agent 8) || 10316 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 37 || Cercopithecine herpesvirus 1 (CeHV-1) (Simian herpes B virus) || 10325 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 38 || Human herpesvirus 3 (HHV-3) (Varicella-zoster virus) || 10335 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 39 || Varicella-zoster virus (strain Dumas) (HHV-3) (Human herpesvirus 3) || 10338 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 40 || Human cytomegalovirus (HHV-5) (Human herpesvirus 5) || 10359 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 41 || Human cytomegalovirus (strain AD169) (HHV-5) (Human herpesvirus 5) || 10360 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 42 || Human cytomegalovirus (strain Eisenhardt) (HHV-5) (Human herpesvirus 5) || 10362 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 43 || Human cytomegalovirus (strain Towne) (HHV-5) (Human herpesvirus 5) || 10363 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 44 || Human herpesvirus 6A (strain GS) (HHV-6 variant A) (Human B lymphotropic virus) || 10369 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 45 || Human herpesvirus 6A (strain Uganda-1102) (HHV-6 variant A) (Human B lymphotropic virus) || 10370 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 46 || Epstein-Barr virus (strain GD1) (HHV-4) (Human gammaherpesvirus 4) || 10376 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 47 || Epstein-Barr virus (strain B95-8) (HHV-4) (Human herpesvirus 4) || 10377 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 48 || Epstein-Barr virus (strain Raji) (HHV-4) (Human herpesvirus 4) || 10378 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 49 || Coxsackievirus B1 (strain Japan) || 103902 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 50 || Coxsackievirus B3 (strain Nancy) || 103903 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 51 || Coxsackievirus B3 (strain Woodruff) || 103904 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 52 || Coxsackievirus B4 (strain E2) || 103905 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 53 || Coxsackievirus B4 (strain JVB / Benschoten / New York/51) || 103906 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 54 || Coxsackievirus B5 (strain Peterborough / 1954/UK/85) || 103907 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 55 || Echovirus 1 (strain Human/Egypt/Farouk/1951) (E-1) || 103908 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 56 || Echovirus 12 (strain Travis) || 103909 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 57 || Echovirus 16 (strain Harrington) || 103910 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 58 || Human parechovirus 1 (strain Harris) (HPeV-1) (Echovirus 22) || 103911 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 59 || Echovirus 6 (strain Charles) || 103913 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 60 || Echovirus 9 (strain Barty) || 103914 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 61 || Echovirus 9 (strain Hill) || 103915 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 62 || Human herpesvirus 2 (strain B4327UR) (HHV-2) (Human herpes simplex virus 2) || 103921 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 63 || Human enterovirus 71 (strain 7423/MS/87) (EV71) (EV-71) || 103922 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 64 || Rabies virus (strain Pasteur vaccins / PV) (RABV) || 103929 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 65 || Hepatitis B virus (HBV) || 10407 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 66 || Hepatitis B virus genotype C subtype adr (strain Japan/adr4/1983) (HBV-C) || 10409 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 67 || Hepatitis B virus genotype A2 subtype adw2 (isolate Germany/991/1990) (HBV-A) || 10410 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 68 || Hepatitis B virus genotype D (isolate France/alpha1/1989) (HBV-D) || 10411 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 69 || Hepatitis B virus genotype B2 (isolate Indonesia/pIDW420/1988) (HBV-B) || 10412 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 70 || Hepatitis B virus genotype B1 subtype adw (isolate Japan/pJDW233/1988) (HBV-B) || 10413 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 71 || Hepatitis B virus genotype B/C subtype adw (isolate Okinawa/pODW282/1998) (HBV-B) || 10415 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 72 || Hepatitis B virus genotype D subtype adw (isolate United Kingdom/adyw/1979) (HBV-D) || 10419 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 73 || Hepatitis delta virus genotype II (isolate 7/18/83) (HDV) || 10421 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 74 || Hepatitis delta virus genotype I (isolate American) (HDV) || 10422 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 75 || Hepatitis delta virus genotype I (isolate Italian) (HDV) || 10423 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 76 || Hepatitis delta virus genotype I (isolate Japanese M-1) (HDV) || 10424 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 77 || Hepatitis delta virus genotype I (isolate Japanese M-2) (HDV) || 10425 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 78 || Hepatitis delta virus genotype I (isolate Nauru) (HDV) || 10426 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 79 || Hepatitis delta virus genotype II (isolate Japanese S-1) (HDV) || 10427 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 80 || Hepatitis delta virus genotype I (isolate Japanese S-2) (HDV) || 10428 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 81 || Human adenovirus C serotype 2 (HAdV-2) (Human adenovirus 2) || 10515 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 82 || Human adenovirus B serotype 7 (HAdV-7) (Human adenovirus 7) || 10519 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 83 || Human adenovirus B serotype 35 (HAdV-35) (Human adenovirus 35) || 10522 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 84 || Human adenovirus F serotype 41 (HAdV-41) (Human adenovirus 41) || 10524 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 85 || Human adenovirus D serotype 9 (HAdV-9) (Human adenovirus 9) || 10527 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 86 || Human adenovirus A serotype 18 (HAdV-18) (Human adenovirus 18) || 10528 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 87 || Human adenovirus A serotype 31 (HAdV-31) (Human adenovirus 31) || 10529 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 88 || Human adenovirus C serotype 1 (HAdV-1) (Human adenovirus 1) || 10533 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 89 || Human adenovirus C serotype 6 (HAdV-6) (Human adenovirus 6) || 10534 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 90 || Human papillomavirus 13 || 10573 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 91 || Human papillomavirus type 8 || 10579 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 92 || Human papillomavirus 11 || 10580 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 93 || Human papillomavirus type 1 (Human papillomavirus type 1a) || 10583 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 94 || Human papillomavirus type 2a || 10584 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 95 || Human papillomavirus 31 || 10585 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 96 || Human papillomavirus 33 || 10586 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 97 || Human papillomavirus 35 || 10587 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 98 || Human papillomavirus 39 || 10588 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 99 || Human papillomavirus type 41 || 10589 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 100 || Human papillomavirus 42 || 10590 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 101 || Human papillomavirus 43 || 10591 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 102 || Human papillomavirus 44 || 10592 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 103 || Human papillomavirus 45 || 10593 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 104 || Human papillomavirus 47 || 10594 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 105 || Human papillomavirus 51 || 10595 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 106 || Human papillomavirus 56 || 10596 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 107 || Human papillomavirus 58 || 10598 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 108 || Human papillomavirus type 5b || 10599 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 109 || Human papillomavirus type 6b || 10600 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 110 || Human papillomavirus type 6c || 10601 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 111 || Human papillomavirus type ME180 || 10602 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 112 || Human papillomavirus 12 || 10604 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 113 || Human papillomavirus 14 || 10605 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 114 || Human papillomavirus 15 || 10606 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 115 || Human papillomavirus 17 || 10607 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 116 || Human papillomavirus 19 || 10608 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 117 || Human papillomavirus 25 || 10609 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 118 || Human papillomavirus 30 || 10611 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 119 || Human papillomavirus 3 || 10614 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 120 || Human papillomavirus 40 || 10615 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 121 || Human papillomavirus type 49 || 10616 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 122 || Human papillomavirus 4 || 10617 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 123 || Human papillomavirus 52 || 10618 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 124 || Human papillomavirus 7 || 10620 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 125 || Human papillomavirus 9 || 10621 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 126 || BK polyomavirus (strain AS) (BKPyV) || 10631 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 127 || JC polyomavirus (JCPyV) (JCV) || 10632 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 128 || Hepatitis B virus subtype adr (HBV) || 106820 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 129 || Hepatitis B virus subtype adw (HBV) || 106821 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 130 || Influenza B virus (strain B/Ibaraki/2/1985) || 107411 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 131 || Influenza B virus (strain B/Singapore/222/1979) || 107417 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 132 || Influenza B virus (strain B/Victoria/2/1987) || 1077587 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 133 || Human parvovirus B19 (HPV B19) || 10798 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 134 || Influenza A virus (strain A/Niigata/137/1996 H3N2) || 109049 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 135 || Rotavirus B (isolate RVB/Human/China/ADRV/1982) (RV-B) (Rotavirus B (isolate adult diarrhea rotavirus)) || 10942 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 136 || Rotavirus A (isolate RVA/Human/Sweden/1076/1983/G2P2A[6]) (RV-A) || 10944 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 137 || Rotavirus A (strain RVA/Human/Indonesia/69M/1980/G8P4[10]) (RV-A) || 10947 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 138 || Rotavirus A (isolate RVA/Human/Australia/Hu5/1977/G2P[X]) (RV-A) (Rotavirus A (isolate Hu/5)) || 10948 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 139 || Rotavirus A (strain RVA/Human/Indonesia/B37/XXXX/G8P[X]) (RV-A) || 10949 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 140 || Rotavirus A (strain RVA/Human/United States/DS-1/1976/G2P1B[4]) (RV-A) (Rotavirus A (strain DS1)) || 10950 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 141 || Rotavirus A (strain RVA/Human/Venezuela/HN126/1983/G2P[X]) (RV-A) (Rotavirus A (strain HN-126)) || 10951 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 142 || Rotavirus A (strain RVA/Human/Japan/KU/1995/G1P1A[8]) (RV-A) || 10952 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 143 || Rotavirus A (strain RVA/Human/Philippines/L26/1987/G12P1B[4]) (RV-A) || 10953 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 144 || Rotavirus A (strain RVA/Human/Venezuela/M37/1982/G1P2A[6]) (RV-A) || 10954 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 145 || Rotavirus A (isolate RVA/Human/Australia/McN13/1980/G3P2A[6]) (RV-A) || 10955 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 146 || Rotavirus A (strain RVA/Human/Japan/MO/1982/G3P1A[8]) (RV-A) || 10956 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 147 || Rotavirus A (strain RVA/Human/United States/P/1974/G3P1A[8]) (RV-A) || 10957 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 148 || Rotavirus A (strain RVA/Human/Japan/S2/1980/G2P1B[4]) (RV-A) || 10959 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 149 || Rotavirus A (strain RVA/Human/United Kingdom/ST3/1975/G4P2A[6]) (RV-A) (Rotavirus A (strain St. Thomas 3)) || 10960 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 150 || Rotavirus A (isolate RVA/Human/Italy/VA70/1975/G4P1A[8]) (RV-A) || 10961 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 151 || Rotavirus A (strain RVA/Human/United States/Wa/1974/G1P1A[8]) (RV-A) || 10962 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 152 || Barmah forest virus (BFV) || 11020 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 153 || Eastern equine encephalitis virus (EEEV) (Eastern equine encephalomyelitis virus) || 11021 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 154 || Eastern equine encephalitis virus (strain va33[ten broeck]) (EEEV) (Eastern equine encephalomyelitis virus) || 11022 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 155 || O&#039;nyong-nyong virus (strain Gulu) (ONNV) || 11028 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 156 || Ross river virus (strain 213970) (RRV) || 11030 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 157 || Ross river virus (strain NB5092) (RRV) || 11031 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 158 || Ross river virus (strain T48) (RRV) || 11032 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 159 || Semliki forest virus (SFV) || 11033 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 160 || Sindbis virus (SINV) || 11034 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 161 || Venezuelan equine encephalitis virus (strain TC-83) (VEEV) || 11037 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 162 || Venezuelan equine encephalitis virus (strain Trinidad donkey) (VEEV) || 11038 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 163 || Western equine encephalitis virus (WEEV) || 11039 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 164 || Rubella virus (RUBV) || 11041 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 165 || Rubella virus (strain M33) (RUBV) || 11043 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 166 || Rubella virus (strain RA27/3 vaccine) (RUBV) || 11044 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 167 || Rubella virus (strain Therien) (RUBV) || 11045 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 168 || Dengue virus type 1 (strain Thailand/AHF 82-80/1980) (DENV-1) || 11057 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 169 || Dengue virus type 1 (strain Jamaica/CV1636/1977) (DENV-1) || 11058 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 170 || Dengue virus type 1 (strain Nauru/West Pac/1974) (DENV-1) || 11059 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 171 || Dengue virus type 2 (isolate Malaysia M2) (DENV-2) || 11062 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 172 || Dengue virus type 2 (isolate Malaysia M3) (DENV-2) || 11063 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 173 || Dengue virus type 2 (strain Jamaica/1409/1983) (DENV-2) || 11064 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 174 || Dengue virus type 2 (strain Thailand/NGS-C/1944) (DENV-2) || 11065 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 175 || Dengue virus type 2 (strain Puerto Rico/PR159-S1/1969) (DENV-2) || 11066 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 176 || Dengue virus type 2 (strain Tonga/EKB194/1974) (DENV-2) || 11067 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 177 || Dengue virus type 2 (strain Thailand/PUO-218/1980) (DENV-2) || 11068 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 178 || Japanese encephalitis virus (strain SA-14) (JEV) || 11073 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 179 || Japanese encephalitis virus (strain SA(v)) (JEV) || 11074 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 180 || Japanese encephalitis virus (strain Jaoars982) (JEV) || 11075 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 181 || Japanese encephalitis virus (strain Nakayama) (JEV) || 11076 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 182 || Kunjin virus (strain MRM61C) || 11078 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 183 || St. louis encephalitis virus (strain MS1-7) || 11081 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 184 || West Nile virus (WNV) || 11082 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 185 || Louping ill virus (LIV) || 11086 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 186 || Tick-borne encephalitis virus Far Eastern subtype (strain Sofjin) (SOFV) (Sofjin virus) || 11087 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 187 || Tick-borne encephalitis virus European subtype (strain Neudoerfl) (NEUV) (Neudoerfl virus) || 11088 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 188 || Yellow fever virus (strain 17D vaccine) (YFV) || 11090 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 189 || Hepatitis C virus genotype 1a (isolate 1) (HCV) || 11104 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 190 || Hepatitis C virus genotype 1b (isolate BK) (HCV) || 11105 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 191 || Hepatitis C virus (isolate EC10) (HCV) || 11106 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 192 || Hepatitis C virus (isolate EC1) (HCV) || 11107 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 193 || Hepatitis C virus (isolate HCT27) (HCV) || 11109 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 194 || Hepatitis C virus (isolate HCT18) (HCV) || 11110 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 195 || Hepatitis C virus (isolate HC-J2) (HCV) || 11111 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 196 || Hepatitis C virus (isolate HC-J5) (HCV) || 11112 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 197 || Hepatitis C virus genotype 2a (isolate HC-J6) (HCV) || 11113 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 198 || Hepatitis C virus (isolate HC-J7) (HCV) || 11114 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 199 || Hepatitis C virus genotype 2b (isolate HC-J8) (HCV) || 11115 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 200 || Hepatitis C virus genotype 1b (isolate Japanese) (HCV) || 11116 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 201 || Hepatitis C virus (isolate TH) (HCV) || 11117 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 202 || Human coronavirus 229E (HCoV-229E) || 11137 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 203 || Mumps virus (strain Edingburgh 2) (MuV) || 11162 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 204 || Mumps virus (strain Edingburgh 4) (MuV) || 11163 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 205 || Mumps virus (strain Edingburgh 6) (MuV) || 11164 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 206 || Mumps virus (strain Matsuyama) (MuV) || 11165 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 207 || Mumps virus (strain Belfast) (MuV) || 11166 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 208 || Mumps virus (strain Enders) (MuV) || 11167 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 209 || Mumps virus genotype A (strain Jeryl-Lynn) (MuV) || 11168 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 210 || Mumps virus (strain Kilham) (MuV) || 11169 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 211 || Mumps virus (strain Bristol 1) (MuV) || 11170 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 212 || Mumps virus genotype B (strain Miyahara vaccine) (MuV) || 11171 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 213 || Mumps virus (strain RW) (MuV) || 11172 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 214 || Mumps virus (strain SBL-1) (MuV) || 11173 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 215 || Mumps virus (strain Takahashi) (MuV) || 11174 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 216 || Mumps virus genotype B (strain Urabe vaccine AM9) (MuV) || 11175 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 217 || Parainfluenza virus 5 (strain W3) (PIV5) (Simian virus 5) || 11208 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 218 || Human parainfluenza 1 virus (strain C39) (HPIV-1) || 11210 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 219 || Human parainfluenza 1 virus (strain Washington/1957) (HPIV-1) || 11211 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 220 || Human parainfluenza 2 virus (strain Greer) (HPIV-2) || 11213 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 221 || Human parainfluenza 2 virus (strain Toshiba) (HPIV-2) || 11214 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 222 || Human parainfluenza 3 virus (strain Wash/47885/57) (HPIV-3) (Human parainfluenza 3 virus (strain NIH 47885)) || 11217 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 223 || Human parainfluenza 3 virus (strain Aus/124854/74) (HPIV-3) || 11218 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 224 || Human parainfluenza 3 virus (strain Tex/545/80) (HPIV-3) || 11219 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 225 || Human parainfluenza 3 virus (strain Tex/9305/82) (HPIV-3) || 11220 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 226 || Human parainfluenza 3 virus (strain Tex/12677/83) (HPIV-3) || 11221 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 227 || Human parainfluenza 3 virus (strain Wash/641/79) (HPIV-3) || 11222 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 228 || Human parainfluenza 3 virus (strain Wash/1511/73) (HPIV-3) || 11223 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 229 || Human parainfluenza 4a virus (strain Toshiba) (HPIV-4a) || 11225 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 230 || Human parainfluenza 4b virus (strain 68-333) (HPIV-4b) || 11227 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 231 || Measles virus (strain Edmonston) (MeV) (Subacute sclerose panencephalitis virus) || 11235 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 232 || Measles virus (strain Halle) (MeV) (Subacute sclerose panencephalitis virus) || 11236 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 233 || Measles virus (strain IP-3-Ca) (MeV) (Subacute sclerose panencephalitis virus) || 11237 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 234 || Measles virus (strain Hu2) (MeV) (Subacute sclerose panencephalitis virus) || 11238 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 235 || Measles virus (strain Yamagata-1) (MeV) (Subacute sclerose panencephalitis virus) || 11239 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 236 || Human respiratory syncytial virus || 11250 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 237 || Human respiratory syncytial virus B (strain 18537) || 11251 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 238 || Human respiratory syncytial virus A (strain rsb642) || 11252 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 239 || Human respiratory syncytial virus A (strain rsb1734) || 11253 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 240 || Human respiratory syncytial virus A (strain rsb5857) || 11254 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 241 || Human respiratory syncytial virus A (strain rsb6190) || 11255 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 242 || Human respiratory syncytial virus A (strain rsb6256) || 11256 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 243 || Human respiratory syncytial virus A (strain rsb6614) || 11257 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 244 || Human respiratory syncytial virus B (strain 8/60) || 11258 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 245 || Human respiratory syncytial virus A (strain A2) || 11259 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 246 || Human respiratory syncytial virus A (strain RSS-2) || 11261 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 247 || Chandipura virus (strain I653514) (CHPV) || 11273 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 248 || Vesicular stomatitis Indiana virus (strain Glasgow) (VSIV) || 11278 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 249 || Vesicular stomatitis Indiana virus (strain Mudd-Summers) (VSIV) || 11279 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 250 || Vesicular stomatitis New Jersey virus (strain Hazelhurst subtype Hazelhurst) (VSNJV) || 11281 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 251 || Vesicular stomatitis New Jersey virus (strain Missouri subtype Hazelhurst) (VSNJV) || 11282 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 252 || Vesicular stomatitis New Jersey virus (strain Ogden subtype Concan) (VSNJV) || 11283 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 253 || Vesicular stomatitis Indiana virus (strain Orsay) (VSIV) || 11284 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 254 || Vesicular stomatitis Indiana virus (strain San Juan) (VSIV) || 11285 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 255 || Rabies virus (strain PM1503/AVO1) (RABV) || 11293 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 256 || Rabies virus (strain CVS-11) (RABV) || 11294 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 257 || Rabies virus (strain ERA) (RABV) || 11295 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 258 || Rabies virus (strain HEP-Flury) (RABV) || 11296 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 259 || Rabies virus (strain PM) (RABV) || 11297 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 260 || Rabies virus (strain Nishigahara RCEH) (RABV) || 11298 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 261 || Rabies virus (strain SAD B19) (RABV) || 11300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 262 || Dhori virus (strain Indian/1313/61) (Dho) || 11319 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 263 || Influenza A virus (strain A/Chicken/Japan/1924 H7N7) || 11340 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 264 || Influenza A virus (strain A/Dunedin/4/1973 H3N2) || 11375 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 265 || Influenza A virus (strain A/Chicken/Weybridge H7N7) (Influenza A virus (strain A/FPV/Weybridge H7N7)) || 11384 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 266 || Influenza A virus (strain A/Equine/Cor/16/1974 H7N7) || 11397 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 267 || Influenza A virus (strain A/Equine/Tokyo/1971 H3N2) || 11418 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 268 || Influenza A virus (strain A/Victoria/5/1968 H2N2) || 11482 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 269 || Influenza A virus (strain A/Swine/Germany/2/1981 H1N1) || 11495 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 270 || Influenza B virus || 11520 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 271 || Influenza B virus (strain B/Ann Arbor/1/1986) || 11521 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 272 || Influenza B virus (strain B/Ann Arbor/1/1966 [cold-adapted]) || 11522 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 273 || Influenza B virus (strain B/Ann Arbor/1/1966 [wild-type]) || 11523 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 274 || Influenza B virus (strain B/BA/1978) || 11524 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 275 || Influenza B virus (strain B/Beijing/1/1987) || 11525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 276 || Influenza B virus (strain B/England/222/1982) || 11527 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 277 || Influenza B virus (strain B/Fukuoka/80/1981) || 11528 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 278 || Influenza B virus (strain B/GA/1986) || 11529 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 279 || Influenza B virus (strain B/GL/1954) || 11530 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 280 || Influenza B virus (strain B/HT/1984) || 11532 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 281 || Influenza B virus (strain B/ID/1986) || 11534 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 282 || Influenza B virus (strain B/Leningrad/179/1986) || 11536 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 283 || Influenza B virus (strain B/Maryland/1959) || 11537 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 284 || Influenza B virus (strain B/Memphis/6/1986) || 11538 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 285 || Influenza B virus (strain B/Nagasaki/1/1987) || 11540 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 286 || Influenza B virus (strain B/Oregon/5/1980) || 11541 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 287 || Influenza B virus (strain B/PA/1979) || 11542 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 288 || Influenza B virus (strain B/RU/1969) || 11543 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 289 || Influenza B virus (strain B/Singapore/1964) || 11545 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 290 || Influenza B virus (strain B/Victoria/3/1985) || 11547 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 291 || Influenza B virus (strain B/Victoria/1987) || 11548 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 292 || Influenza B virus (strain B/Yamagata/1/1973) || 11550 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 293 || Influenza C virus (strain C/Ann Arbor/1/1950) || 11553 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 294 || Influenza C virus (strain C/Berlin/1/1985) || 11554 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 295 || Influenza C virus (strain C/England/892/1983) || 11556 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 296 || Influenza C virus (strain C/Great lakes/1167/1954) || 11557 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 297 || Influenza C virus (strain C/JJ/1950) || 11560 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 298 || Influenza C virus (strain C/Pig/Beijing/10/1981) || 11564 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 299 || Influenza C virus (strain C/Pig/Beijing/439/1982) || 11566 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 300 || Influenza C virus (strain C/Taylor/1233/1947) || 11567 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 301 || Influenza C virus (strain C/Yamagata/10/1981) || 11568 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 302 || Bunyavirus La Crosse || 11577 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 303 || Bunyavirus La Crosse (isolate Aedes triseriatus/United States/L74/1974) || 11578 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 304 || Bunyavirus snowshoe hare || 11580 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 305 || Hantaan virus (strain Hojo) (Hojo virus) (Korean hemorrhagic fever virus) || 11583 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 306 || Punta toro phlebovirus || 11587 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 307 || Rift valley fever virus (RVFV) || 11588 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 308 || Rift valley fever virus (strain ZH-548 M12) (RVFV) || 11589 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 309 || Toscana virus (Tos) || 11590 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 310 || Uukuniemi virus (UUKV) || 11591 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 311 || Crimean-Congo hemorrhagic fever virus (isolate C68031) (CCHFV) || 11594 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 312 || Hantaan virus (strain Lee) (Lee virus) (Korean hemorrhagic fever virus) || 11601 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 313 || Hantaan virus (strain 76-118) (Korean hemorrhagic fever virus) || 11602 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 314 || Seoul virus (strain SR-11) (Sapporo rat virus) || 11610 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 315 || Lassa virus (strain GA391) (LASV) || 11621 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 316 || Lassa virus (strain Mouse/Sierra Leone/Josiah/1976) (LASV) || 11622 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 317 || Lymphocytic choriomeningitis virus (strain Armstrong) (LCMV) || 11624 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 318 || Lymphocytic choriomeningitis virus (strain Pasteur) (LCMV) || 11625 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 319 || Lymphocytic choriomeningitis virus (strain Traub) (LCMV) || 11626 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 320 || Lymphocytic choriomeningitis virus (strain WE) (LCMV) || 11627 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 321 || Simian foamy virus type 3 (strain LK3) (SFVagm) (SFV-3) || 11644 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 322 || Human immunodeficiency virus type 1 (HIV-1) || 11676 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 323 || Human immunodeficiency virus type 1 group M subtype B (isolate BH10) (HIV-1) || 11678 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 324 || Human immunodeficiency virus type 1 group M subtype B (isolate PCV12) (HIV-1) || 11679 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 325 || Human immunodeficiency virus type 1 group M subtype U (isolate Z3) (HIV-1) || 11680 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 326 || Human immunodeficiency virus type 1 group M subtype D (isolate Z84) (HIV-1) || 11681 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 327 || Human immunodeficiency virus type 1 group M subtype B (isolate BH5) (HIV-1) || 11682 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 328 || Human immunodeficiency virus type 1 group M subtype D (isolate Z2/CDC-Z34) (HIV-1) || 11683 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 329 || Human immunodeficiency virus type 1 group M subtype B (isolate BH8) (HIV-1) || 11684 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 330 || Human immunodeficiency virus type 1 group M subtype B (isolate ARV2/SF2) (HIV-1) || 11685 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 331 || Human immunodeficiency virus type 1 group M subtype B (isolate BRU/LAI) (HIV-1) || 11686 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 332 || Human immunodeficiency virus type 1 group M subtype B (isolate CDC-451) (HIV-1) || 11687 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 333 || Human immunodeficiency virus type 1 group M subtype B (isolate JRCSF) (HIV-1) || 11688 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 334 || Human immunodeficiency virus type 1 group M subtype D (isolate ELI) (HIV-1) || 11689 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 335 || Human immunodeficiency virus type 1 group M subtype B (isolate SF33) (HIV-1) || 11690 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 336 || Human immunodeficiency virus type 1 group M subtype B (isolate SF162) (HIV-1) || 11691 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 337 || Human immunodeficiency virus type 1 group M subtype A (isolate Z321) (HIV-1) || 11692 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 338 || Human immunodeficiency virus type 1 group M subtype B (isolate BRVA) (HIV-1) || 11693 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 339 || Human immunodeficiency virus type 1 group M subtype B (isolate JH32) (HIV-1) || 11694 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 340 || Human immunodeficiency virus type 1 group M subtype D (isolate NDK) (HIV-1) || 11695 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 341 || Human immunodeficiency virus type 1 group M subtype B (isolate MN) (HIV-1) || 11696 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 342 || Human immunodeficiency virus type 1 group M subtype A (isolate MAL) (HIV-1) || 11697 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 343 || Human immunodeficiency virus type 1 group M subtype B (isolate NY5) (HIV-1) || 11698 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 344 || Human immunodeficiency virus type 1 group M subtype B (isolate OYI) (HIV-1) || 11699 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 345 || Human immunodeficiency virus type 1 group M subtype B (isolate RF/HAT3) (HIV-1) || 11701 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 346 || Human immunodeficiency virus type 1 group M subtype B (isolate SC) (HIV-1) || 11702 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 347 || Human immunodeficiency virus type 1 group M subtype A (isolate U455) (HIV-1) || 11703 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 348 || Human immunodeficiency virus type 1 group M subtype B (isolate MFA) (HIV-1) || 11704 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 349 || Human immunodeficiency virus type 1 group M subtype B (isolate WMJ22) (HIV-1) || 11705 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 350 || Human immunodeficiency virus type 1 group M subtype B (isolate HXB2) (HIV-1) || 11706 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 351 || Human immunodeficiency virus type 1 group M subtype B (isolate HXB3) (HIV-1) || 11707 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 352 || Human immunodeficiency virus type 1 group M subtype D (isolate Z6) (HIV-1) || 11708 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 353 || Human immunodeficiency virus 2 || 11709 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 354 || Human immunodeficiency virus type 2 subtype A (isolate D194) (HIV-2) || 11713 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 355 || Human immunodeficiency virus type 2 subtype A (isolate BEN) (HIV-2) || 11714 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 356 || Human immunodeficiency virus type 2 subtype A (isolate CAM2) (HIV-2) || 11715 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 357 || Human immunodeficiency virus type 2 subtype B (isolate D205) (HIV-2) || 11716 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 358 || Human immunodeficiency virus type 2 subtype A (isolate Ghana-1) (HIV-2) || 11717 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 359 || Human immunodeficiency virus type 2 subtype A (isolate SBLISY) (HIV-2) || 11718 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 360 || Human immunodeficiency virus type 2 subtype A (isolate NIH-Z) (HIV-2) || 11719 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 361 || Human immunodeficiency virus type 2 subtype A (isolate ROD) (HIV-2) || 11720 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 362 || Human immunodeficiency virus type 2 subtype A (isolate ST) (HIV-2) || 11721 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 363 || Human T-cell leukemia virus 2 (HTLV-2) || 11909 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 364 || Human T-cell leukemia virus 1 (strain Japan ATK-1 subtype A) (HTLV-1) || 11926 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 365 || Human T-cell leukemia virus 1 (isolate Caribbea HS-35 subtype A) (HTLV-1) || 11927 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 366 || Human T-cell leukemia virus 1 (strain Japan MT-2 subtype A) (HTLV-1) || 11928 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 367 || Human spumaretrovirus (SFVcpz(hu)) (Human foamy virus) || 11963 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 368 || Echo 9 virus (EV-9) (Coxsackievirus A23) || 12060 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 369 || Coxsackievirus A9 (strain Griggs) || 12068 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 370 || Coxsackievirus A21 (strain Coe) || 12070 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 371 || Poliovirus type 1 (strain Mahoney) || 12081 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 372 || Poliovirus type 1 (strain Sabin) || 12082 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 373 || Poliovirus type 2 (strain Lansing) || 12084 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 374 || Poliovirus type 2 (strain W-2) || 12085 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 375 || Poliovirus type 3 (strain 23127) || 12087 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 376 || Poliovirus type 3 (strains P3/Leon/37 and P3/Leon 12A[1]B) || 12088 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 377 || Human hepatitis A virus genotype IA (isolate LCDC-1) (HHAV) (Human hepatitis A virus (isolate Human/China/LCDC-1/1984)) || 12093 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 378 || Human hepatitis A virus genotype IA (isolate CR326) (HHAV) (Human hepatitis A virus (isolate Human/Costa Rica/CR326/1960)) || 12097 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 379 || Human hepatitis A virus genotype IB (isolate HM175) (HHAV) (Human hepatitis A virus (isolate Human/Australia/HM175/1976)) || 12098 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 380 || Human hepatitis A virus genotype IA (isolate LA) (HHAV) (Human hepatitis A virus (isolate Human/Northern California/LA/1974)) || 12099 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 381 || Human hepatitis A virus genotype IB (isolate MBB) (HHAV) (Human hepatitis A virus (isolate Human/Northern Africa/MBB/1978)) || 12100 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 382 || Encephalomyocarditis virus || 12104 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 383 || Encephalomyocarditis virus (strain emc-b nondiabetogenic) || 12105 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 384 || Encephalomyocarditis virus (strain emc-d diabetogenic) || 12106 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 385 || Mengo encephalomyocarditis virus || 12107 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 386 || Human rhinovirus 2 (HRV-2) || 12130 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 387 || Human rhinovirus 14 (HRV-14) || 12131 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 388 || Human rhinovirus 89 (HRV-89) || 12132 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 389 || Human rhinovirus 1A (HRV-1A) || 12134 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 390 || Human rhinovirus 23 (HRV-23) || 12135 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 391 || Bhanja virus (BHAV) || 1213620 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 392 || Heartland virus (HTRV) || 1216928 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 393 || Human parechovirus 5 (strain CT86-6760) (HPeV-5) (Echovirus 23) || 122961 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 394 || Human parechovirus 2 (strain Williamson) (HPeV-2) (Echovirus 23) || 122962 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 395 || Non-A non-B hepatitis virus || 12440 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 396 || Human astrovirus-1 (HAstV-1) || 12456 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 397 || Hepatitis delta virus (HDV) || 12475 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 398 || Omsk hemorrhagic fever virus (OHFV) || 12542 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 399 || Seoul virus (strain 80-39) || 12557 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 400 || Middle East respiratory syndrome-related coronavirus (isolate United Kingdom/H123990006/2012) (MERS-CoV) (Betacoronavirus England 1) || 1263720 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 401 || Vaccinia virus (strain Ankara) (VACV) || 126794 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 402 || Human astrovirus-2 (HAstV-2) || 12701 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 403 || Influenza C virus (strain C/Nara/2/1985) || 127957 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 404 || Influenza C virus (strain C/Yamagata/4/1988) || 127958 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 405 || Zaire ebolavirus (strain Gabon-94) (ZEBOV) (Zaire Ebola virus) || 128947 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 406 || Sudan ebolavirus (strain Boniface-76) (SEBOV) (Sudan Ebola virus) || 128948 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 407 || Sudan ebolavirus (strain Maleo-79) (SEBOV) (Sudan Ebola virus) || 128949 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 408 || Zaire ebolavirus (strain Kikwit-95) (ZEBOV) (Zaire Ebola virus) || 128951 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 409 || Zaire ebolavirus (strain Mayinga-76) (ZEBOV) (Zaire Ebola virus) || 128952 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 410 || Tai Forest ebolavirus (strain Cote d&#039;Ivoire-94) (TAFV) (Cote d&#039;Ivoire Ebola virus) || 128999 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 411 || Zaire ebolavirus (strain Eckron-76) (ZEBOV) (Zaire Ebola virus) || 129000 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 412 || Reston ebolavirus (strain Philippines-96) (REBOV) (Reston Ebola virus) || 129003 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 413 || Reston ebolavirus (strain Siena/Philippine-92) (REBOV) (Reston Ebola virus) || 129004 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 414 || Human papillomavirus 82 || 129724 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 415 || Influenza A virus (strain A/Hong Kong/156/1997 H5N1 genotype Gs/Gd) || 130763 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 416 || Yaba-like disease virus (YLDV) || 132475 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 417 || Measles virus (strain Edmonston-Moraten vaccine) (MeV) (Subacute sclerose panencephalitis virus) || 132484 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 418 || Measles virus (strain Edmonston-Schwarz vaccine) (MeV) (Subacute sclerose panencephalitis virus) || 132487 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 419 || Influenza A virus (strain A/X-31 H3N2) || 132504 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 420 || Puumala virus (strain Bank vole/Russia/CG1820/1984) || 1337063 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 421 || Human rhinovirus C (strain C15) (HRV-C15) || 1418033 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 422 || Human picobirnavirus || 145856 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 423 || Human bocavirus 4 (HBoV4) (Human bocavirus type 4) || 1511883 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 424 || Cosavirus A (isolate Human/Pakistan/0553/-) (HCoSV-A) || 1554483 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 425 || Norovirus (isolate Human/NoV/United States/MD145-12/1987/GII) (Hu/NLV/GII/MD145-12/1987/US) || 158465 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 426 || Wesselsbron virus (WSLV) || 164416 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 427 || Influenza C virus (strain C/Miyagi/3/1993) || 165239 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 428 || Influenza C virus (strain C/Miyagi/4/1993) || 165240 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 429 || Influenza C virus (strain C/Kanagawa/1/1976) || 165246 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 430 || Influenza C virus (strain C/Miyagi/1977) || 165247 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 431 || Influenza C virus (strain C/Miyagi/1/1993) || 165248 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 432 || Influenza C virus (strain C/Miyagi/2/1993) || 165249 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 433 || Human papillomavirus type 54 || 1671798 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 434 || Hepatitis E virus (HEV) || 1678143 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 435 || Alkhumra hemorrhagic fever virus (ALKV) (Alkhurma hemorrhagic fever virus) || 172148 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 436 || Echovirus 5 (strain Noyce) || 176283 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 437 || Echovirus 30 (strain Bastianni) || 176284 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 438 || Influenza A virus (strain A/Duck/Hong Kong/2986.1/2000 H5N1 genotype C) || 176674 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 439 || Influenza A virus (strain A/Swine/New Jersey/11/1976 H1N1) || 186460 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 440 || BK polyomavirus (BKPyV) (Human polyomavirus 1) || 1891762 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 441 || Influenza A virus (strain A/Chicken/Hong Kong/YU562/2001 H5N1 genotype B) || 196426 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 442 || Influenza A virus (strain A/Silky Chicken/Hong Kong/SF189/2001 H5N1 genotype A) || 196430 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 443 || Influenza A virus (strain A/Chicken/Hong Kong/715.5/2001 H5N1 genotype E) || 196434 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 444 || West Nile virus (strain NY-99) (WNV) (West Nile virus (strain NY-1999)) || 1968826 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 445 || Andes orthohantavirus (ANDV) (Andes virus) || 1980456 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 446 || Influenza C virus (strain C/Miyagi/1/1990) || 199344 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 447 || Influenza C virus (strain C/Miyagi/5/1991) || 199345 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 448 || Influenza C virus (strain C/Miyagi/7/1991) || 199346 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 449 || Influenza C virus (strain C/Miyagi/5/1993) || 199347 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 450 || Influenza C virus (strain C/Sapporo/1971) || 199356 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 451 || Influenza C virus (strain C/Aomori/1974) || 199357 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 452 || Influenza C virus (strain C/Miyagi/2/1992) || 199360 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 453 || Influenza C virus (strain C/Yamagata/1/1988) || 203125 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 454 || Influenza C virus (strain C/California/1978) || 203224 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 455 || Influenza C virus (strain C/Hyogo/1/1983) || 203225 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 456 || Influenza C virus (strain C/Miyagi/9/1991) || 203228 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 457 || Influenza C virus (strain C/Mississippi/1980) || 203229 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 458 || Influenza C virus (strain C/Pig/Beijing/115/1981) || 203231 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 459 || Influenza C virus (strain C/Nara/1982) || 203232 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 460 || Influenza C virus (strain C/Kyoto/41/1982) || 203233 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 461 || Zika virus (isolate ZIKV/Human/French Polynesia/10087PF/2013) (ZIKV) || 2043570 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 462 || Influenza C virus (strain C/Hiroshima/246/2000) || 210752 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 463 || Influenza C virus (strain C/Hiroshima/247/2000) || 210753 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 464 || Influenza C virus (strain C/Hiroshima/248/2000) || 210754 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 465 || Influenza C virus (strain C/Hiroshima/249/2000) || 210755 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 466 || Influenza C virus (strain C/Hiroshima/250/2000) || 210756 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 467 || Influenza C virus (strain C/Hiroshima/251/2000) || 210757 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 468 || Influenza C virus (strain C/Hiroshima/290/1999) || 210759 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 469 || Influenza A virus (strain A/Puerto Rico/8/1934 H1N1) || 211044 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 470 || Influenza A virus (strain A/Texas/1/1968 H2N2) || 216887 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 471 || Junin mammarenavirus (JUNV) (Junn mammarenavirus) || 2169991 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 472 || Influenza C virus (strain C/Yamagata/1964) || 217166 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 473 || Influenza C virus (strain C/Aichi/1/1981) || 217167 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 474 || Influenza C virus (strain C/Saitama/1/2000) || 217719 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 475 || Influenza C virus (strain C/Saitama/2/2000) || 217720 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 476 || Influenza C virus (strain C/Saitama/3/2000) || 217721 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 477 || Influenza C virus (strain C/Hiroshima/252/1999) || 217722 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 478 || Influenza C virus (strain C/New Jersey/1976) || 217723 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 479 || Influenza C virus (strain C/Kansas/1/1979) || 217724 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 480 || Influenza C virus (strain C/Greece/1979) || 217725 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 481 || Influenza A virus (strain A/Equine/Sao Paulo/1/1976 H7N7) || 217828 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 482 || Influenza A virus (strain A/Equine/Switzerland/137/1972 H7N7) || 217829 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 483 || Influenza A virus (strain A/Equine/New Market/1/1977 H7N7) || 217831 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 484 || Influenza A virus (strain A/Equine/Detroit/1/1964 H7N7) || 217834 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 485 || Influenza A virus (strain A/Equine/Cambridge/1/1973 H7N7) || 217835 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 486 || Influenza A virus (strain A/Equine/C.Detroit/1/1964 H7N7) || 217836 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 487 || Influenza A virus (strain A/Equine/Cambridge/1/1963 H7N7) || 217837 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 488 || Influenza A virus (strain A/Qu/7/1970 H3N2) || 221016 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 489 || Influenza A virus (strain A/Chicken/Hong Kong/FY150/2001 H5N1 genotype D) || 222142 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 490 || Severe acute respiratory syndrome coronavirus (isolate Canada/Tor2/2003) (SARS-CoV) || 227984 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 491 || Influenza B virus (strain B/Bonn/1943) || 230285 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 492 || Influenza B virus (strain B/USSR/100/1983) || 230286 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 493 || Coxsackievirus A16 (strain Tainan/5079/98) || 231417 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 494 || Coxsackievirus B2 (strain Ohio-1) || 231473 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 495 || Coxsackievirus B6 (strain Schmitt) || 231474 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 496 || Zika virus (isolate ZIKV/Human/Cambodia/FSS13025/2010) (ZIKV) || 2316109 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 497 || Sapporo virus (isolate GII/Human/Thailand/Mc10/2000) (Hu/SaV/Mc10/2000/Thailand) || 234601 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 498 || Japanese encephalitis virus (strain M28) (JEV) || 2555554 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 499 || Human parainfluenza 2 virus (HPIV-2) || 2560525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 500 || Human papillomavirus type 94 || 260717 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 501 || Hepatitis delta virus genotype I (isolate US-2) (HDV) || 261991 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 502 || Hepatitis delta virus genotype II (isolate TW2476) (HDV) || 261992 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 503 || Hepatitis delta virus genotype III (isolate VnzD8624) (HDV) || 261993 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 504 || Hepatitis delta virus genotype III (isolate VnzD8349) (HDV) || 261994 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 505 || Hepatitis delta virus genotype III (isolate VnzD8375) (HDV) || 261995 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 506 || Hepatitis delta virus genotype III (isolate Peru-1) (HDV) || 261996 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 507 || Human herpesvirus 7 (strain RK) (HHV-7) (Human T lymphotropic virus) || 262398 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 508 || Cowpox virus (strain GRI-90 / Grishak) (CPV) || 265871 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 509 || Cowpox virus (strain Brighton Red) (CPV) || 265872 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 510 || Hepatitis delta virus genotype I (isolate HDV/Human/Central African Republic/FH27/1985) (HDV) || 2691025 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 511 || Severe acute respiratory syndrome coronavirus 2 (2019-nCoV) (SARS-CoV-2) || 2697049 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 512 || Human rhinovirus 1B (HRV-1B) || 2777147 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 513 || Human coronavirus NL63 (HCoV-NL63) || 277944 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 514 || Influenza A virus (strain A/Hong Kong/212/2003 H5N1 genotype Z+) || 279794 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 515 || Influenza A virus (strain A/Chicken/Hong Kong/96.1/2002 H5N1 genotype Y) || 279803 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 516 || Influenza C virus (strain C/Aichi/1/1999) || 282188 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 517 || Human adenovirus D serotype 15 (HAdV-15) (Human adenovirus 15) || 28276 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 518 || Human adenovirus E serotype 4 (HAdV-4) (Human adenovirus 4) || 28280 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 519 || Human adenovirus A serotype 12 (HAdV-12) (Human adenovirus 12) || 28282 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 520 || Human adenovirus F serotype 40 (HAdV-40) (Human adenovirus 40) || 28284 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 521 || Human adenovirus C serotype 5 (HAdV-5) (Human adenovirus 5) || 28285 ||  || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 522 || Sandfly fever sicilian virus (SFS) || 28292 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 523 || Human papillomavirus type 63 || 28311 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 524 || Human papillomavirus 65 || 28312 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 525 || Human T-cell leukemia virus 3 (HTLV-3) (Human T-lymphotropic virus 3) || 28332 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 526 || Influenza A virus (strain A/Chicken/Hong Kong/31.2/2002 H5N1 genotype X1) || 284169 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 527 || Influenza A virus (strain A/Chicken/Hong Kong/37.4/2002 H5N1 genotype X2) || 284172 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 528 || Influenza A virus (strain A/Chicken/Hong Kong/YU22/2002 H5N1 genotype Z) || 284177 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 529 || Influenza A virus (strain A/Chicken/Shantou/4231/2003 H5N1 genotype V) || 284184 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 530 || Influenza A virus (strain A/Guinea fowl/Hong Kong/38/2002 H5N1 genotype X0) || 284208 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 531 || Influenza A virus (strain A/Silky Chicken/Hong Kong/YU100/2002 H5N1 genotype X3) || 284214 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 532 || Influenza A virus (strain A/Teal/China/2978.1/2002 H5N1 genotype W) || 284215 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 533 || Influenza A virus (strain A/Vietnam/1203/2004 H5N1) || 284218 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 534 || Encephalomyocarditis virus (strain Rueckert) (EMCV) || 2870365 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 535 || Rotavirus B (isolate RVB/Rat/United States/IDIR/1984/G1P[X]) (RV-B) (Rotavirus B (isolate infectious diarrhea of infant rats)) || 28877 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 536 || Isfahan virus (ISFV) || 290008 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 537 || Human coronavirus HKU1 (HCoV-HKU1) || 290028 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 538 || Sapovirus (strain GII/Human/Japan/Sakai C12/2001) (SaV) (Sapporo virus) || 290314 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 539 || Human immunodeficiency virus type 1 group M subtype B (isolate Lai) (HIV-1) || 290579 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 540 || Sapporo virus (isolate GI/Human/Germany/pJG-Sap01) (Hu/Dresden/pJG-Sap01/DE) || 291175 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 541 || Influenza B virus (strain B/Paris/329/1990) || 291795 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 542 || Influenza B virus (strain B/Hong Kong/9/1989) || 291796 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 543 || Influenza B virus (strain B/Texas/1/1991) || 291799 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 544 || Influenza B virus (strain B/Texas/4/1990) || 291800 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 545 || Influenza B virus (strain B/New York/3/1990) || 291801 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 546 || Influenza B virus (strain B/Guangdong/55/1989) || 291802 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 547 || Influenza B virus (strain B/Victoria/103/1989) || 291803 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 548 || Influenza B virus (strain B/Victoria/19/1989) || 291804 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 549 || Influenza B virus (strain B/South Dakota/5/1989) || 291805 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 550 || Influenza B virus (strain B/India/3/1989) || 291806 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 551 || Human cytomegalovirus (strain Merlin) (HHV-5) (Human herpesvirus 5) || 295027 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 552 || Mumps virus genotype N (strain L-Zagreb vaccine) (MuV) || 301186 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 553 || Vaccinia virus (strain Tashkent) (VACV) || 301352 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 554 || Murray valley encephalitis virus (strain MVE-1-51) (MVEV) || 301478 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 555 || Nipah virus || 3052225 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 556 || Sabia mammarenavirus (isolate Human/Brasil/SPH114202/1990) (SABV) (Sabi mammarenavirus) || 3052299 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 557 || Pichinde mammarenavirus (PICV) (Pichind mammarenavirus) || 3052300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 558 || Chapare mammarenavirus (isolate Human/Bolivia/810419/2003) || 3052302 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 559 || Guanarito mammarenavirus (isolate Human/Venezuela/NH-95551/1990) (GTOV) || 3052307 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 560 || Mammarenavirus lassaense || 3052310 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 561 || Machupo virus (MACV) || 3052317 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 562 || Dobrava-Belgrade orthohantavirus (DOBV) (Dobrava virus) || 3052477 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 563 || Black Creek Canal orthohantavirus (BCCV) (Black Creek Canal virus) || 3052490 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 564 || Sin Nombre orthohantavirus (SNV) (Sin Nombre virus) || 3052499 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 565 || Tula orthohantavirus (TULV) (Tula virus) || 3052503 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 566 || Dugbe virus || 3052514 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 567 || Human adenovirus D serotype 15/H9 (HAdV-15/H9) (Human adenovirus 15/H9) || 308444 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 568 || Human cytomegalovirus (strain Toledo) (HHV-5) (Human herpesvirus 5) || 311339 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 569 || Hepatitis B virus genotype C subtype adr (isolate Korea/Kim/1989) (HBV-C) || 31512 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 570 || Hepatitis B virus genotype C subtype adr (isolate China/NC-1/1988) (HBV-C) || 31513 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 571 || Hepatitis B virus genotype A1 subtype adw (isolate Philippines/pFDW294/1988) (HBV-A) || 31514 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 572 || Hepatitis B virus genotype G subtype adw2 (isolate United States/sf/1990) (HBV-G) || 31515 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 573 || Epstein-Barr virus (strain Cao) (HHV-4) (Human herpesvirus 4) || 31525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 574 || Vaccinia virus (strain L-IVP) (VACV) || 31531 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 575 || Human adenovirus B serotype 16 (HAdV-16) (Human adenovirus 16) || 31544 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 576 || Human adenovirus D serotype 8 (HAdV-8) (Human adenovirus 8) || 31545 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 577 || Human papillomavirus 20 || 31547 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 578 || Human papillomavirus 21 || 31548 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 579 || Rotavirus C (isolate RVC/Human/Japan/88-220/1988) (RV-C) || 31565 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 580 || Rotavirus C (isolate RVC/Human/Brazil/Belem/1992) (RV-C) || 31566 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 581 || Rotavirus C (isolate RVC/Human/United Kingdom/Bristol/1989) (RV-C) || 31567 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 582 || Rotavirus C (isolate RVC/Human/United Kingdom/Preston/1992) (RV-C) || 31568 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 583 || Rotavirus A (strain RVA/Human/Australia/RV-5/1981/G2P1B[4]) (RV-A) (Rotavirus A (strain RV5)) || 31569 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 584 || Rotavirus A (strain RVA/Human/Australia/RV-4/1977/G1P1A[8]) (RV-A) (Rotavirus A (strain RV4)) || 31570 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 585 || Rotavirus A (strain RVA/Human/United Kingdom/A28/1987/G10P[X]) (RV-A) || 31571 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 586 || Rotavirus A (isolate RVA/Human/Japan/IGV-80-3/XXXX/GXP[X]) (RV-A) || 31574 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 587 || Human parainfluenza 1 virus (strain C35) (HPIV-1) || 31605 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 588 || Human parainfluenza 1 virus (strain CI-14/83) (HPIV-1) || 31606 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 589 || Human parainfluenza 1 virus (strain CI-5/73) (HPIV-1) || 31607 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 590 || Parainfluenza virus 5 (isolate Canine/CPI+) (PIV5) (Simian virus 5) || 31608 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 591 || Parainfluenza virus 5 (isolate Canine/CPI-) (PIV5) (Simian virus 5) || 31609 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 592 || Parainfluenza virus 5 (isolate Human/LN) (PIV5) (Simian virus 5) || 31610 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 593 || Rabies virus (isolate Human/Algeria/1991) (RABV) || 31613 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 594 || Hantaan virus (strain B-1) (Korean hemorrhagic fever virus) || 31617 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 595 || Seoul virus (strain R22) || 31620 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 596 || Human coronavirus OC43 (HCoV-OC43) || 31631 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 597 || Dengue virus type 2 (strain Thailand/16681/1984) (DENV-2) || 31634 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 598 || Dengue virus type 2 (strain 16681-PDK53) (DENV-2) || 31635 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 599 || Dengue virus type 2 (strain China/D2-04) (DENV-2) || 31636 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 600 || Dengue virus type 2 (strain Thailand/TH-36/1958) (DENV-2) || 31637 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 601 || Langat virus (strain TP21) || 31638 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 602 || Langat virus (strain Yelantsev) || 31639 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 603 || Louping ill virus (strain SB 526) (Li) || 31640 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 604 || Yellow fever virus (isolate Peru/1899/1981) (YFV) || 31641 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 605 || Hepatitis C virus genotype 1b (isolate HC-JT) (HCV) || 31642 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 606 || Hepatitis C virus (isolate HCV-476) (HCV) || 31643 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 607 || Hepatitis C virus (isolate HCV-KF) (HCV) || 31644 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 608 || Hepatitis C virus genotype 1b (isolate Taiwan) (HCV) || 31645 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 609 || Influenza A virus (strain A/Turkey/Bethlehem-Glilit/1492-B/1982 H1N1) || 31663 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 610 || Human immunodeficiency virus type 1 group M subtype B (isolate WMJ1) (HIV-1) || 31678 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 611 || Human immunodeficiency virus type 2 subtype A (isolate ST/24.1C#2) (HIV-2) || 31681 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 612 || Sindbis virus subtype Ockelbo (strain Edsbyn 82-5) (OCKV) (Ockelbo virus) || 31699 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 613 || Mengo encephalomyocarditis virus (strain 37A) || 31702 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 614 || Echovirus 11 (strain Gregory) || 31705 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 615 || Human hepatitis A virus genotype IIIA (isolate GA76) (HHAV) (Human hepatitis A virus (isolate Human/Georgia/GA76/1976)) || 31706 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 616 || Human rhinovirus 16 (HRV-16) || 31708 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 617 || Hepatitis delta virus genotype I (isolate D380) (HDV) || 31762 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 618 || Hepatitis delta virus genotype I (isolate Lebanon-1) (HDV) || 31763 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 619 || Hepatitis delta virus genotype I (isolate Woodchuck) (HDV) || 31764 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 620 || Hepatitis E virus (isolate Rhesus/HT-4) (HEV) || 31766 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 621 || Hepatitis E virus genotype 1 (isolate Human/Burma) (HEV-1) || 31767 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 622 || Hepatitis E virus genotype 2 (isolate Human/Mexico) (HEV-2) || 31768 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 623 || Hepatitis E virus genotype 1 (isolate Human/Myanmar/HEVNE8L) (HEV-1) || 31769 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 624 || Human enterovirus 70 (strain J670/71) (EV70) (EV-70) || 31915 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 625 || Human herpesvirus 6B (HHV-6 variant B) (Human B lymphotropic virus) || 32604 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 626 || Human immunodeficiency virus type 1 group O (isolate ANT70) (HIV-1) || 327105 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 627 || Hepatitis C virus (isolate Glasgow) (HCV) || 329389 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 628 || Hepatitis C virus genotype 1b (isolate Con1) (HCV) || 333284 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 629 || Human papillomavirus 27 || 333752 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 630 || Human papillomavirus 57 || 333753 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 631 || Human papillomavirus type 10 || 333759 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 632 || Human papillomavirus type 16 || 333760 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 633 || Human papillomavirus type 18 || 333761 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 634 || Human papillomavirus type 26 || 333762 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 635 || Human papillomavirus type 32 || 333763 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 636 || Human papillomavirus type 34 || 333764 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 637 || Human papillomavirus type 53 || 333765 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 638 || Human papillomavirus 72 || 333770 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 639 || Human papillomavirus 5 || 333923 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 640 || Human papillomavirus 62 || 334210 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 641 || Rotavirus X (strain RVX/Human/China/NADRV-J19/1997/GXP[X]) (RV ADRV-N) (Rotavirus (isolate novel adult diarrhea rotavirus-J19)) || 335103 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 642 || Rotavirus A (isolate RVA/Human/-/RK9/XXXX/GXP[X]) (RV-A) || 33722 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 643 || Lake Victoria marburgvirus (strain Musoke-80) (MARV) (Marburg virus (strain Kenya/Musoke/1980)) || 33727 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 644 || Lake Victoria marburgvirus (strain Popp-67) (MARV) (Marburg virus (strain West Germany/Popp/1967)) || 33728 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 645 || Mumps virus (strain SBL) (MuV) || 33729 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 646 || Parainfluenza virus 5 (strain 21004-WR) (PIV5) (Simian virus 5) || 33730 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 647 || Dengue virus type 1 (strain Singapore/S275/1990) (DENV-1) || 33741 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 648 || Kyasanur forest disease virus (KFDV) || 33743 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 649 || Hepatitis E virus genotype 1 (isolate Human/Pakistan/Sar-55) (HEV-1) || 33774 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 650 || Simian foamy virus type 1 (SFVmac) (SFV-1) || 338478 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 651 || Cercopithecine herpesvirus 16 (CeHV-16) (Herpesvirus papio 2) || 340907 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 652 || Varicella-zoster virus (strain Oka vaccine) (HHV-3) (Human herpesvirus 3) || 341980 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 653 || Human adenovirus B serotype 11 (strain Slobiski) (HAdV-11) (Human adenovirus 11P (strain Slobiski)) || 343462 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 654 || Human adenovirus B serotype 11 (strain BC34) (HAdV-11) (Human adenovirus 11A (strain BC34)) || 343463 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 655 || Rotavirus X (isolate RVX/Human/Bangladesh/NADRV-B219/2002/GXP[X]) (RV ADRV-N) (Rotavirus (isolate novel adult diarrhea rotavirus-B219)) || 348136 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 656 || Measles virus (strain Biken) (MeV) (Subacute sclerosing panencephalitis virus (strain Biken)) || 351669 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 657 || Influenza A virus (strain A/Duck/Alberta/35/1976 H1N1) || 352520 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 658 || Influenza A virus (strain A/Duck/Hong Kong/7/1975 H3N2) || 352551 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 659 || Human astrovirus-4 (HAstV-4) || 35300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 660 || Bunyamwera virus (BUNV) || 35304 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 661 || Hepatitis C virus genotype 1c (isolate India) (HCV) || 356386 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 662 || Hepatitis C virus genotype 5a (isolate SA13) (HCV) || 356390 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 663 || Hepatitis C virus genotype 6a (isolate 6a33) (HCV) || 356391 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 664 || Hepatitis C virus genotype 1c (isolate HC-G9) (HCV) || 356410 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 665 || Hepatitis C virus genotype 2a (isolate JFH-1) (HCV) || 356411 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 666 || Hepatitis C virus genotype 2b (isolate JPUT971017) (HCV) || 356412 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 667 || Hepatitis C virus genotype 2c (isolate BEBE1) (HCV) || 356413 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 668 || Hepatitis C virus genotype 2k (isolate VAT96) (HCV) || 356414 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 669 || Hepatitis C virus genotype 3a (isolate NZL1) (HCV) || 356415 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 670 || Hepatitis C virus genotype 3a (isolate k3a) (HCV) || 356416 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 671 || Hepatitis C virus genotype 3k (isolate JK049) (HCV) || 356417 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 672 || Hepatitis C virus genotype 4a (isolate ED43) (HCV) || 356418 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 673 || Hepatitis C virus genotype 5a (isolate EUH1480) (HCV) || 356419 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 674 || Hepatitis C virus genotype 6a (isolate EUHK2) (HCV) || 356420 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 675 || Hepatitis C virus genotype 6b (isolate Th580) (HCV) || 356421 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 676 || Hepatitis C virus genotype 6d (isolate VN235) (HCV) || 356422 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 677 || Hepatitis C virus genotype 6g (isolate JK046) (HCV) || 356423 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 678 || Hepatitis C virus genotype 6h (isolate VN004) (HCV) || 356424 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 679 || Hepatitis C virus genotype 6k (isolate VN405) (HCV) || 356425 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 680 || Xenotropic MuLV-related virus (isolate VP35) (XMRV) || 356663 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 681 || Xenotropic MuLV-related virus (isolate VP42) (XMRV) || 356664 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 682 || Hepatitis C virus genotype 3b (isolate Tr-Kj) (HCV) || 357355 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 683 || Human astrovirus-3 (HAstV-3) || 35740 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 684 || Human astrovirus-5 (HAstV-5) || 35741 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 685 || Human immunodeficiency virus type 1 group M subtype B (isolate YU-2) (HIV-1) || 362651 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 686 || Influenza A virus (strain A/New Zealand:South Canterbury/35/2000 H1N1) || 363066 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 687 || Human herpesvirus 1 (strain R15) (HHV-1) (Human herpes simplex virus 1) || 36345 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 688 || Human herpesvirus 1 (strain R19) (HHV-1) (Human herpes simplex virus 1) || 36346 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 689 || Human herpesvirus 6B (strain Z29) (HHV-6 variant B) (Human B lymphotropic virus) || 36351 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 690 || Human immunodeficiency virus type 1 group M subtype B (isolate KB-1/ETR) (HIV-1) || 36375 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 691 || Human immunodeficiency virus type 1 group M subtype B (isolate N1T-A) (HIV-1) || 36376 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 692 || Venezuelan equine encephalitis virus (strain 3880) (VEEV) || 36382 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 693 || Venezuelan equine encephalitis virus (strain Everglades Fe3-7c) (VEEV) || 36383 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 694 || Venezuelan equine encephalitis virus (strain Mena II) (VEEV) || 36384 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 695 || Venezuelan equine encephalitis virus (strain P676) (VEEV) || 36385 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 696 || Louping ill virus (strain 31) (Li) || 36386 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 697 || Louping ill virus (strain K) (Li) || 36387 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 698 || Louping ill virus (strain Negishi 3248/49/P10) (Li) || 36388 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 699 || Louping ill virus (strain Norway) (Li) || 36389 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 700 || Coxsackievirus A24 (strain EH24/70) || 36404 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 701 || Measles virus (strain Edmonston-AIK-C vaccine) (MeV) (Subacute sclerose panencephalitis virus) || 36408 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 702 || Human parainfluenza 1 virus (strains A1426 / 86-315 / 62m-753) (HPIV-1) || 36412 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 703 || Influenza A virus (strain A/Chicken/Brescia/1902 H7N7) || 36418 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 704 || Influenza A virus (strain A/Goose/Guangxi/345/2005 H5N1 genotype G) || 365089 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 705 || Sapporo virus (isolate GI/Human/Japan/Ehime643/2000) (Hu/SV/Ehi643/2000/JP) || 369964 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 706 || Human herpesvirus 1 (strain CVG-2) (HHV-1) (Human herpes simplex virus 1) || 37106 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 707 || Human herpesvirus 1 (strain MGH-10) (HHV-1) (Human herpes simplex virus 1) || 37107 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 708 || Chikungunya virus (strain S27-African prototype) (CHIKV) || 371094 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 709 || Chikungunya virus (strain 37997) (CHIKV) || 371095 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 710 || Chikungunya virus (strain Nagpur) (CHIKV) || 371096 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 711 || Human papillomavirus 28 || 37111 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 712 || Human papillomavirus 29 || 37112 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 713 || Human papillomavirus type 55 || 37114 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 714 || Human papillomavirus 59 || 37115 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 715 || Human papillomavirus type 61 || 37116 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 716 || Human papillomavirus type 64 || 37118 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 717 || Human papillomavirus 66 || 37119 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 718 || Human papillomavirus 67 || 37120 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 719 || Human papillomavirus 69 || 37121 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 720 || Human papillomavirus type 6a || 37122 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 721 || Chikungunya virus (CHIKV) || 37124 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 722 || Southampton virus (strain GI/Human/United Kingdom/Southampton/1991) (SHV) (Hu/NV/SHV/1991/UK) || 37129 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 723 || Human astrovirus-6 (HAstV-6) || 37130 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 724 || Rabies virus (isolate Fox/Ontario/1991) (RABV) || 37132 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 725 || Rotavirus A (isolate RVA/Human/Thailand/Mc35/1992/G10P11[14]) (RV-A) || 37136 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 726 || Human herpesvirus 8 (HHV-8) (Kaposi&#039;s sarcoma-associated herpesvirus) || 37296 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 727 || Xenotropic MuLV-related virus (isolate VP62) (XMRV) || 373193 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 728 || Eastern equine encephalitis virus (strain PE-0.0155) (EEEV) (Eastern equine encephalomyelitis virus) || 374596 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 729 || Eastern equine encephalitis virus (strain PE-3.0815) (EEEV) (Eastern equine encephalomyelitis virus) || 374597 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 730 || Eastern equine encephalitis virus (strain Florida 91-469) (EEEV) (Eastern equine encephalomyelitis virus) || 374598 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 731 || O&#039;nyong-nyong virus (strain SG650) (ONNV) || 374989 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 732 || Mayaro virus (strain Brazil) (MAYV) || 374990 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 733 || Rubella virus (strain BRD1) (RUBV) || 376262 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 734 || Rubella virus (strain BRDII) (RUBV) || 376263 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 735 || Rubella virus (strain TO-336) (RUBV) || 376264 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 736 || Rubella virus (strain TO-336 vaccine) (RUBV) || 376265 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 737 || Rubella virus (strain Cendehill) (RUBV) || 376266 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 738 || Rubella virus (strain RN-UK86) (RUBV) || 376267 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 739 || Lake Victoria marburgvirus (strain Ravn-87) (MARV) (Marburg virus (strain Kenya/Ravn/1987)) || 378809 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 740 || Lake Victoria marburgvirus (strain Angola/2005) (MARV) || 378830 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 741 || Human papillomavirus 22 || 37954 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 742 || Human papillomavirus 23 || 37955 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 743 || Human papillomavirus 24 || 37956 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 744 || Human papillomavirus 36 || 37957 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 745 || Human papillomavirus 37 || 37958 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 746 || Human papillomavirus 38 || 37959 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 747 || Influenza A virus (strain A/New Jersey/8/1976 H1N1) || 379756 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 748 || Influenza A virus (strain A/Taiwan/1/1986 H1N1) || 380213 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 749 || Influenza A virus (strain A/Swine/Hong Kong/3/1976 H3N2) || 380216 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 750 || Influenza A virus (strain A/Swine/Hong Kong/4/1976 H3N2) || 380217 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 751 || Influenza A virus (strain A/Fort Monmouth/1/1947 H1N1) || 380282 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 752 || Influenza A virus (strain A/Equine/Prague/1/1956 H7N7) || 380337 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 753 || Influenza A virus (strain A/Equine/London/1416/1973 H7N7) || 380340 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 754 || Influenza A virus (strain A/Swine/Iowa/17672/1988 H1N1) || 380341 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 755 || Influenza A virus (strain A/Swine/Iowa/15/1930 H1N1) || 380342 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 756 || Influenza A virus (strain A/Wisconsin/3523/1988 H1N1) || 380346 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 757 || Influenza A virus (strain A/Swine/Netherlands/12/1985 H1N1) || 380347 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 758 || Influenza A virus (strain A/Turkey/Minnesota/1661/1981 H1N1) || 380349 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 759 || Influenza A virus (strain A/Beijing/353/1989 H3N2) || 380949 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 760 || Influenza A virus (strain A/Tokyo/3/1967 H2N2) || 380960 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 761 || Influenza A virus (strain A/Leningrad/134/47/1957 H2N2) || 380983 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 762 || Influenza A virus (strain A/Leningrad/134/17/1957 H2N2) || 380984 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 763 || Influenza A virus (strain A/Chile/1/1983 H1N1) || 380985 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 764 || Influenza A virus (strain A/USSR/90/1977 H1N1) || 381516 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 765 || Influenza A virus (strain A/Udorn/307/1972 H3N2) || 381517 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 766 || Influenza A virus (strain A/Wilson-Smith/1933 H1N1) (Influenza A virus (strain A/WS/1933 H1N1)) || 381518 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 767 || Influenza A virus (strain A/Singapore/1/1957 H2N2) || 382781 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 768 || Influenza A virus (strain A/Guangdong/39/1989 H3N2) || 382812 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 769 || Influenza A virus (strain A/Philippines/2/1982 H3N2) || 382825 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 770 || Influenza A virus (strain A/RI/5-/1957 H2N2) || 382828 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 771 || Influenza A virus (strain A/Swine/29/1937 H1N1) || 382842 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 772 || Influenza A virus (strain A/Swine/Cambridge/1/1935 H1N1) || 382844 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 773 || Influenza A virus (strain A/Swine/Dandong/9/1983 H3N2) || 382846 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 774 || Influenza A virus (strain A/Swine/Hong Kong/126/1982 H3N2) || 382848 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 775 || Influenza A virus (strain A/Swine/Italy/839/1989 H1N1) || 382851 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 776 || Influenza A virus (strain A/Swine/Wisconsin/1/1967 H1N1) || 382855 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 777 || Influenza A virus (strain A/Swine/Italy/141/1981 H1N1) || 383530 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 778 || Influenza A virus (strain A/Swine/Italy/2/1979 H1N1) || 383531 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 779 || Influenza A virus (strain A/Swine/Italy/437/1976 H1N1) || 383532 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 780 || Influenza A virus (strain A/Swine/Wisconsin/1/1961 H1N1) || 383533 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 781 || Influenza A virus (strain A/Swine/Wisconsin/1/1957 H1N1) || 383534 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 782 || Influenza A virus (strain A/Swine/May/1954 H1N1) || 383535 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 783 || Influenza A virus (strain A/Swine/41/1949 H1N1) || 383536 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 784 || Influenza A virus (strain A/Swine/Iowa/1946 H1N1) || 383537 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 785 || Influenza A virus (strain A/Swine/Jamesburg/1942 H1N1) || 383538 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 786 || Influenza A virus (strain A/Swine/Ohio/23/1935 H1N1) || 383539 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 787 || Influenza A virus (strain A/England/19/1955 H1N1) || 383541 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 788 || Influenza A virus (strain A/Hickox/1940 H1N1) || 383543 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 789 || Influenza A virus (strain A/Teal/Iceland/29/1980 H7N7) || 383546 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 790 || Influenza A virus (strain A/Duck/Australia/749/1980 H1N1) || 383547 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 791 || Influenza A virus (strain A/Fowl plague virus/Dobson/&#039;Dutch&#039;/1927 H7N7) || 383551 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 792 || Influenza A virus (strain A/Shanghai/16/1989 H3N2) || 383567 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 793 || Influenza A virus (strain A/Shanghai/11/1987 H3N2) || 383568 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 794 || Influenza A virus (strain A/Shanghai/31/1980 H3N2) || 383569 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 795 || Influenza A virus (strain A/Shanghai/6/1990 H3N2) || 383570 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 796 || Influenza A virus (strain A/Memphis/6/1986 H3N2) || 383571 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 797 || Influenza A virus (strain A/Memphis/14/1985 H3N2) || 383572 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 798 || Influenza A virus (strain A/Memphis/5/1980 H3N2) || 383575 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 799 || Influenza A virus (strain A/Memphis/4/1980 H3N2) || 383578 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 800 || Influenza A virus (strain A/Memphis/18/1978 H3N2) || 383579 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 801 || Influenza A virus (strain A/Memphis/2/1978 H3N2) || 383580 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 802 || Influenza A virus (strain A/Memphis/110/1976 H3N2) || 383581 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 803 || Influenza A virus (strain A/Memphis/1/1973 H3N2) || 383582 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 804 || Influenza A virus (strain A/Memphis/101/1972 H3N2) || 383583 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 805 || Influenza A virus (strain A/Memphis/1/1971 H3N2) || 383586 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 806 || Influenza A virus (strain A/Memphis/8/1988 H3N2) || 383588 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 807 || Influenza A virus (strain A/Memphis/3/1988 H3N2) || 383589 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 808 || Influenza A virus (strain A/Guangdong/9/1987 H3N2) || 383592 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 809 || Influenza A virus (strain A/Guangdong/38/1977 H3N2) || 383593 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 810 || Influenza A virus (strain A/Beijing/337/1989 H3N2) || 383595 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 811 || Influenza A virus (strain A/Beijing/39/1975 H3N2) || 383596 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 812 || Influenza A virus (strain A/Beijing/352/1989 H3N2) || 383597 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 813 || Influenza A virus (strain A/Swine/Tennessee/26/1977 H1N1) || 384479 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 814 || Influenza A virus (strain A/Swine/Iowa/1976/1931 H1N1) || 384482 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 815 || Influenza A virus (strain A/Swine/Hong Kong/127/1982 H3N2) || 384483 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 816 || Influenza A virus (strain A/Swine/Hong Kong/81/1978 H3N2) || 384484 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 817 || Influenza A virus (strain A/Swine/Hong Kong/6/1976 H3N2) || 384485 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 818 || Influenza A virus (strain A/Swine/Indiana/1726/1988 H1N1) || 384487 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 819 || Influenza A virus (strain A/Loyang/4/1957 H1N1) || 384489 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 820 || Influenza A virus (strain A/Seal/Massachusetts/1/1980 H7N7) || 384493 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 821 || Influenza A virus (strain A/Kiev/59/1979 H1N1) || 384495 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 822 || Influenza A virus (strain A/Ann Arbor/6/1960 H2N2) || 384498 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 823 || Influenza A virus (strain A/Beijing/11/1956 H1N1) || 384500 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 824 || Influenza A virus (strain A/Swine/Ontario/2/1981 H1N1) || 384501 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 825 || Influenza A virus (strain A/Mallard/New York/6750/1978 H2N2) || 384502 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 826 || Influenza A virus (strain A/Northern Territory/60/1968 H3N2) (Influenza A virus (strain NT60)) (Influenza A virus (strain A/NT/60/1968 H3N2)) || 384505 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 827 || Influenza A virus (strain A/Mallard/New York/6874/1978 H3N2) || 384518 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 828 || Influenza A virus (strain A/Fort Warren/1/1950 H1N1) || 384525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 829 || Influenza A virus (strain A/Canberra grammar/1977 H3N2) || 384526 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 830 || Influenza A virus (strain A/Berkeley/1/1968 H2N2) || 384528 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 831 || Influenza A virus (strain A/Alaska/6/1977 H3N2) || 385576 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 832 || Influenza A virus (strain A/Ohio/4/1983 H1N1) || 385596 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 833 || Influenza A virus (strain A/Udorn/1972 H3N2) || 385599 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 834 || Influenza A virus (strain A/Swine/Tennessee/24/1977 H1N1) || 385606 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 835 || Influenza A virus (strain A/Port Chalmers/1/1973 H3N2) || 385624 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 836 || Influenza A virus (strain A/BH/1935 H1N1) || 385629 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 837 || Influenza A virus (strain A/Bangkok/1/1979 H3N2) || 385630 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 838 || Influenza A virus (strain A/Memphis/102/1972 H3N2) || 385640 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 839 || Influenza A virus (strain A/Swine/Ukkel/1/1984 H3N2) || 385644 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 840 || Influenza A virus (strain A/Swine/Colorado/1/1977 H3N2) || 385645 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 841 || Reston ebolavirus (strain Reston-89) (REBOV) (Reston Ebola virus) || 386032 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 842 || Sudan ebolavirus (strain Human/Uganda/Gulu/2000) (SEBOV) (Sudan Ebola virus) || 386033 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 843 || Influenza A virus (strain A/Aichi/2/1968 H3N2) || 387139 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 844 || Influenza A virus (strain A/England/878/1969 H3N2) || 387147 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 845 || Influenza A virus (strain A/Hong Kong/5/1983 H3N2) || 387159 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 846 || Influenza A virus (strain A/Japan/305/1957 H2N2) || 387161 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 847 || Influenza A virus (strain A/Leningrad/134/1957 H2N2) || 387163 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 848 || Influenza A virus (strain A/Camel/Mongolia/1982 H1N1) || 387191 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 849 || Influenza A virus (strain A/Duck/Bavaria/2/1977 H1N1) || 387203 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 850 || Lagos bat virus (LBV) || 38766 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 851 || Duvenhage virus (DUVV) || 38767 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 852 || Yaba monkey tumor virus (YMTV) || 38804 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 853 || Banzi virus (BANV) || 38837 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 854 || Human immunodeficiency virus type 1 group M subtype C (isolate ETH2220) (HIV-1) || 388796 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 855 || Human immunodeficiency virus type 1 group M subtype C (isolate 92BR025) (HIV-1) || 388812 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 856 || Human immunodeficiency virus type 1 group M subtype F1 (isolate VI850) (HIV-1) || 388813 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 857 || Human immunodeficiency virus type 1 group M subtype F1 (isolate 93BR020) (HIV-1) || 388814 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 858 || Human immunodeficiency virus type 1 group M subtype F2 (isolate MP255) (HIV-1) || 388815 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 859 || Human immunodeficiency virus type 1 group O (isolate MVP5180) (HIV-1) || 388816 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 860 || Human immunodeficiency virus type 1 group N (isolate YBF30) (HIV-1) || 388818 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 861 || Human immunodeficiency virus type 1 group N (isolate YBF106) (HIV-1) || 388819 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 862 || Human immunodeficiency virus type 2 subtype B (isolate EHO) (HIV-2) || 388821 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 863 || Human immunodeficiency virus type 2 subtype B (isolate UC1) (HIV-2) || 388822 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 864 || Human immunodeficiency virus type 1 group M subtype F2 (isolate MP257) (HIV-1) || 388823 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 865 || Human immunodeficiency virus type 1 group M subtype G (isolate SE6165) (HIV-1) || 388824 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 866 || Human immunodeficiency virus type 1 group M subtype G (isolate 92NG083) (HIV-1) || 388825 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 867 || Human immunodeficiency virus type 1 group M subtype H (isolate 90CF056) (HIV-1) || 388826 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 868 || Human immunodeficiency virus type 1 group M subtype H (isolate VI991) (HIV-1) || 388888 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 869 || Human immunodeficiency virus type 1 group M subtype J (isolate SE9173) (HIV-1) || 388904 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 870 || Human immunodeficiency virus type 1 group M subtype J (isolate SE9280) (HIV-1) || 388905 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 871 || Human immunodeficiency virus type 1 group M subtype K (isolate 96CM-MP535) (HIV-1) || 388906 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 872 || Human immunodeficiency virus type 1 group M subtype K (isolate 97ZR-EQTB11) (HIV-1) || 388907 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 873 || Human astrovirus-7 (HAstV-7) || 38950 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 874 || Influenza A virus (strain A/Memphis/4/1973 H3N2) || 38973 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 875 || Influenza B virus (strain B/Finland/145/1990) || 38988 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 876 || Influenza B virus (strain B/Finland/146/1990) || 38990 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 877 || Influenza B virus (strain B/Finland/147/1990) || 38991 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 878 || Influenza B virus (strain B/Finland/148/1990) || 38992 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 879 || Influenza B virus (strain B/Finland/149/1990) || 38993 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 880 || Influenza B virus (strain B/Finland/150/1990) || 38994 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 881 || Influenza B virus (strain B/Finland/151/1990) || 38995 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 882 || Influenza B virus (strain B/Finland/24/1985) || 38996 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 883 || Influenza B virus (strain B/Finland/56/1988) || 38997 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 884 || Puumala virus (strain Berkel) || 38998 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 885 || Puumala virus (strain Evo/12CG/93) || 38999 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 886 || Puumala virus (strain K27) || 39000 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 887 || Puumala virus (strain P360) || 39001 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 888 || Puumala virus (strain Sotkamo/V-2969/81) || 39002 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 889 || Puumala virus (strain Udmurtia/894CG/91) || 39003 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 890 || Rabies virus (isolate Skunk/Ontario/1991) (RABV) || 39005 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 891 || Tick-borne powassan virus (strain LB) (POWV) (Powassan virus) || 39008 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 892 || Rotavirus A (isolate RVA/Human/Australia/A91a/1991/G1P[X]) (RV-A) || 39011 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 893 || Rotavirus A (strain RVA/Human/Japan/K8/1977/G1P3A[9]) (RV-A) || 39012 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 894 || Rotavirus A (strain RVA/Human/Japan/AU-1/1982/G3P3[9]) (RV-A) || 39013 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 895 || Human T-cell leukemia virus 1 (isolate Zaire EL subtype B) (HTLV-1) || 39015 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 896 || Human T-cell leukemia virus 1 (isolate Caribbea CH subtype A) (HTLV-1) || 39016 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 897 || Human enterovirus 71 (EV71) (EV-71) || 39054 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 898 || Influenza A virus (strain A/Victoria/3/1975 H3N2) || 392809 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 899 || Influenza A virus (strain A/Leningrad/1/1954 H1N1) || 393557 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 900 || Influenza A virus (strain A/Brazil/11/1978 H1N1) || 393560 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 901 || Influenza A virus (strain A/India/6263/1980 H1N1) || 393562 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 902 || Influenza A virus (strain A/England/321/1977 H3N2) || 393563 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 903 || Human papillomavirus type 70 || 39457 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 904 || Influenza A virus (strain A/China:Nanchang/11/1996 H1N1) || 394786 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 905 || Horsepox virus (HSPV) || 397342 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 906 || Human immunodeficiency virus type 1 group M subtype B (strain 89.6) (HIV-1) || 401671 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 907 || Human T-cell leukemia virus 3 (strain 2026ND) (HTLV-3) || 402036 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 908 || Human T-cell leukemia virus 1 (isolate Melanesia mel5 subtype C) (HTLV-1) || 402046 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 909 || Influenza A virus (strain A/Chicken/Victoria/1/1985 H7N7) || 402520 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 910 || Influenza A virus (strain A/Starling/Victoria/5156/1985 H7N7) || 402525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 911 || Influenza A virus (strain A/Chicken/Scotland/1959 H5N1) || 402527 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 912 || Human papillomavirus type 48 || 40538 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 913 || Human papillomavirus type 50 || 40539 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 914 || Human papillomavirus type 60 || 40540 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 915 || Human T-cell leukemia virus 3 (strain Pyl43) (HTLV-3) || 406769 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 916 || Yellow fever virus (strain Ghana/Asibi/1927) (YFV) || 407134 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 917 || Yellow fever virus (strain French neurotropic vaccine FNV) (YFV) || 407135 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 918 || Yellow fever virus (isolate Ivory Coast/1999) (YFV) || 407136 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 919 || Yellow fever virus (strain Trinidad/TRINID79A/1979) (YFV) || 407137 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 920 || Yellow fever virus (isolate Ivory Coast/85-82H/1982) (YFV) || 407138 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 921 || Yellow fever virus (isolate Uganda/A7094A4/1948) (YFV) || 407139 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 922 || Yellow fever virus (isolate Angola/14FA/1971) (YFV) || 407140 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 923 || Yellow fever virus (isolate Ethiopia/Couma/1961) (YFV) || 407141 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 924 || Dengue virus type 1 (strain Brazil/97-11/1997) (DENV-1) || 408685 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 925 || Dengue virus type 4 (strain Philippines/H241/1956) (DENV-4) || 408686 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 926 || Dengue virus type 4 (strain Singapore/8976/1995) (DENV-4) || 408687 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 927 || Dengue virus type 4 (strain Thailand/0348/1991) (DENV-4) || 408688 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 928 || Dengue virus type 4 (strain Thailand/0476/1997) (DENV-4) || 408689 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 929 || Dengue virus type 3 (strain China/80-2/1980) (DENV-3) || 408690 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 930 || Dengue virus type 3 (strain Martinique/1243/1999) (DENV-3) || 408691 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 931 || Dengue virus type 3 (strain Sri Lanka/1266/2000) (DENV-3) || 408692 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 932 || Dengue virus type 3 (strain Singapore/8120/1995) (DENV-3) || 408693 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 933 || Dengue virus type 2 (strain Peru/IQT2913/1996) (DENV-2) || 408694 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 934 || Dengue virus type 3 (strain Philippines/H87/1956) (DENV-3) || 408870 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 935 || Dengue virus type 4 (strain Dominica/814669/1981) (DENV-4) || 408871 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 936 || Influenza B virus (strain B/Panama/45/1990) || 408929 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 937 || Human respiratory syncytial virus A (strain S-2) (HRSV-S2) || 410078 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 938 || Dengue virus type 2 (isolate Thailand/0168/1979) (DENV-2) || 413041 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 939 || Influenza B virus (strain B/Yamagata/16/1988) || 416674 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 940 || Influenza B virus (strain B/Hong Kong/22/1989) || 416675 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 941 || Influenza B virus (strain B/Bangkok/163/1990) || 416677 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 942 || Influenza A virus (strain A/USA:Memphis/10/1996 H1N1) || 416730 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 943 || Hepatitis C virus genotype 1b (strain HC-J4) (HCV) || 420174 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 944 || Hepatitis C virus genotype 1b (isolate HC-J1) (HCV) || 421877 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 945 || Hepatitis C virus genotype 1b (isolate HCR6) (HCV) || 421879 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 946 || KI polyomavirus (isolate Stockholm 60) (KIPyV) || 423446 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 947 || KI polyomavirus (isolate Stockholm 350) (KIPyV) || 423447 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 948 || KI polyomavirus (isolate Stockholm 380) (KIPyV) || 423448 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 949 || Influenza A virus (strain A/USA:Huston/AA/1945 H1N1) || 425551 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 950 || Influenza A virus (strain A/California/10/1978 H1N1) || 425557 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 951 || Influenza A virus (strain A/Henry/1936 H1N1) || 425562 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 952 || Influenza A virus (strain A/USA:Iowa/1943 H1N1) || 425563 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 953 || Influenza A virus (strain A/Malaysia:Malaya/302/1954 H1N1) || 425566 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 954 || Influenza A virus (strain A/USA:Phila/1935 H1N1) || 425570 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 955 || Influenza A virus (strain A/USA:Albany/12/1951 H1N1) || 425580 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 956 || Influenza B virus (strain B/Hong Kong/8/1973) || 427826 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 957 || Human astrovirus-8 (HAstV-8) || 43358 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 958 || Saffold virus (SafV) (Human TMEV-like virus-Saffold) || 434309 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 959 || Vesicular stomatitis Indiana virus (strain 98COE North America) (VSIV) || 434488 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 960 || Vesicular stomatitis Indiana virus (strain 94GUB Central America) (VSIV) || 434489 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 961 || Vesicular stomatitis Indiana virus (strain 85CLB South America) (VSIV) || 434490 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 962 || Kokobera virus (KOKV) || 44024 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 963 || WU polyomavirus (WUPyV) || 440266 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 964 || Human rhinovirus 3 (HRV-3) || 44130 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 965 || Human coronavirus HKU1 (isolate N1) (HCoV-HKU1) || 443239 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 966 || Human coronavirus HKU1 (isolate N2) (HCoV-HKU1) || 443240 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 967 || Human coronavirus HKU1 (isolate N5) (HCoV-HKU1) || 443241 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 968 || Influenza A virus (strain A/Texas/1/1977 H3N2) || 444318 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 969 || Rabies virus (strain India) (RABV) || 445790 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 970 || Rabies virus (strain China/MRV) (RABV) || 445791 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 971 || Rabies virus (strain China/DRV) (RABV) || 445792 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 972 || Rabies virus (strain silver-haired bat-associated) (RABV) (SHBRV) || 445793 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 973 || Australian bat lyssavirus (isolate Bat/AUS/1996) (ABLV) || 446561 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 974 || Australian bat lyssavirus (isolate Human/AUS/1998) (ABLV) || 446562 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 975 || New York virus (NYV) || 44755 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 976 || Human papillomavirus 68 || 45240 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 977 || Hepatitis B virus genotype F2 (isolate Brazil/w4B) (HBV-F) || 45410 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 978 || Rabies virus (strain Vnukovo-32) (RABV) || 45418 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 979 || Influenza A virus (strain A/USA:Texas/UR06-0195/2007 H1N1) || 455880 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 980 || Human adenovirus B serotype 3 (HAdV-3) (Human adenovirus 3) || 45659 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 981 || Influenza B virus (strain B/Malaysia/2506/2004) || 464417 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 982 || Colorado tick fever virus (CTFV) || 46839 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 983 || Human adenovirus D serotype 17 (HAdV-17) (Human adenovirus 17) || 46922 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 984 || Human hepatitis A virus genotype IA (isolate GBM) (HHAV) (Human hepatitis A virus (isolate Human/Germany/GBM/1976)) || 470422 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 985 || Human hepatitis A virus genotype IA (isolate H2) (HHAV) (Human hepatitis A virus (isolate Human/China/H2/1982)) || 470423 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 986 || Human hepatitis A virus genotype IA (isolate HAS-15) (HHAV) (Human hepatitis A virus (isolate Human/Arizona/HAS-15/1979)) || 470424 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 987 || Human hepatitis A virus genotype IIA (isolate CF-53) (HHAV) (Human hepatitis A virus (isolate Human/France/CF-53/1979)) || 470591 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 988 || Human hepatitis A virus genotype IIB (isolate SLF88) (HHAV) (Human hepatitis A virus (isolate Human/Sierra Leone/SLF88/1988)) || 470592 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 989 || Human hepatitis A virus genotype IIIA (isolate NOR-21) (HHAV) (Human hepatitis A virus (isolate Human/Norway/NOR-21/1998)) || 470593 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 990 || Human hepatitis A virus genotype IIIB (isolate HAJ85-1) (HHAV) (Human hepatitis A virus (isolate Human/Japan/HAJ85-1/1985)) || 474341 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 991 || Influenza A virus (strain A/Equine/Lexington/1/1966 H7N7) || 475494 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 992 || Influenza A virus (strain A/wyoming/03/2003 H3N2) || 480024 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 993 || Hepatitis B virus genotype A2 subtype adw2 (strain Rutter 1979) (HBV-A) || 480116 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 994 || Hepatitis B virus genotype C subtype adr (isolate Japan/Nishioka/1983) (HBV-C) || 482133 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 995 || Hepatitis B virus genotype A2 subtype adw (isolate Japan/Nishioka/1983) (HBV-A) || 482134 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 996 || Lake Victoria marburgvirus (strain Ozolin-75) (MARV) (Marburg virus (strain South Africa/Ozolin/1975)) || 482820 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 997 || Torque teno virus (isolate Human/Japan/TRM1/1999) (TTV) (Torque teno virus genotype 1a) || 486275 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 998 || Torque teno virus (isolate Human/Japan/SANBAN/1999) (TTV) || 486277 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 999 || Torque teno virus (isolate Human/China/CT39F/2001) (TTV) || 486279 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1000 || Torque teno virus (strain VT416) (TTV) || 486280 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1001 || Torque teno virus (isolate Human/Ghana/GH1/1996) (TTV) || 487067 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1002 || Uukuniemi virus (strain S23) (UUKV) || 487099 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1003 || Influenza A virus (strain A/Korea/426/1968 H2N2) || 488241 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1004 || Hepatitis B virus genotype A1 subtype adw2 (isolate Southern-Africa/Cai) (HBV-A) || 489449 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1005 || Hepatitis B virus genotype A1 subtype adw2 (isolate South Africa/84/2001) (HBV-A) || 489454 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1006 || Hepatitis B virus genotype A2 (isolate Japan/11D11HCCW/1998) (HBV-A) || 489457 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1007 || Hepatitis B virus genotype A3 (isolate Cameroon/CMR983/1994) (HBV-A) || 489458 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1008 || Hepatitis B virus genotype A3 (isolate Cameroon/CMR711/1994) (HBV-A) || 489459 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1009 || Hepatitis B virus genotype B2 (isolate Vietnam/9873/1997) (HBV-B) || 489461 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1010 || Hepatitis B virus genotype B2 (isolate Vietnam/16091/1992) (HBV-B) || 489462 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1011 || Hepatitis B virus genotype B2 subtype adw (isolate China/patient4/1996) (HBV-B) || 489463 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1012 || Hepatitis B virus genotype B1 (isolate Japan/Yamagata-2/1998) (HBV-B) || 489464 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1013 || Hepatitis B virus genotype B1 (isolate Japan/Ry30/2002) (HBV-B) || 489465 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1014 || Hepatitis B virus genotype C subtype ar (isolate Japan/S-207/1988) (HBV-C) || 489467 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1015 || Hepatitis B virus genotype C subtype ad (isolate Japan/S-179/1988) (HBV-C) || 489468 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1016 || Hepatitis B virus genotype C subtype ayw (isolate China/Tibet127/2002) (HBV-C) || 489469 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1017 || Hepatitis B virus genotype C subtype adr (isolate Japan/A4/1994) (HBV-C) || 489470 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1018 || Hepatitis B virus genotype C subtype ayw (isolate Australia/AustRC/1992) (HBV-C) || 489471 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1019 || Hepatitis B virus genotype C (isolate Vietnam/3270/2000) (HBV-C) || 489472 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1020 || Hepatitis B virus genotype D subtype ayw (isolate Japan/JYW796/1988) (HBV-D) || 489487 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1021 || Hepatitis B virus genotype D subtype ayw (isolate Australia/AustKW/1991) (HBV-D) || 489488 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1022 || Hepatitis B virus genotype D subtype ayw (isolate Italy/CI/1992) (HBV-D) || 489489 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1023 || Hepatitis B virus genotype D (isolate Germany/1-91/1991) (HBV-D) || 489490 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1024 || Hepatitis B virus genotype E subtype ayw4 (isolate Kou) (HBV-E) || 489495 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1025 || Hepatitis B virus genotype E (isolate Cote d&#039;Ivoire/ABI-129/2003) (HBV-E) || 489496 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1026 || Hepatitis B virus genotype E (isolate Chimpanzee/Ch195/1999) (HBV-E) || 489497 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1027 || Hepatitis B virus genotype E (isolate Cote d&#039;Ivoire/ABI-212/2003) (HBV-E) || 489498 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1028 || Hepatitis B virus genotype F1 subtype adw4 (isolate El Salvador/1116Sal/1997) (HBV-F) || 489499 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1029 || Hepatitis B virus genotype F1 (isolate Argentina/sa11/2000) (HBV-F) || 489500 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1030 || Hepatitis B virus genotype F2 (isolate Argentina/sa16/2000) (HBV-F) || 489501 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1031 || Hepatitis B virus genotype F2 subtype adw4q (isolate Senegal/9203) (HBV-F) || 489503 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1032 || Hepatitis B virus genotype G (isolate United States/USG17/2002) (HBV-G) || 489537 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1033 || Hepatitis B virus genotype G (isolate IG29227/2000) (HBV-G) || 489538 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1034 || Hepatitis B virus genotype H (isolate United States/LAS2523/2002) (HBV-H) || 489539 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1035 || Hepatitis B virus genotype H subtype adw4 (isolate Nicaragua/1853Nic/1997) (HBV-H) || 489540 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1036 || Hepatitis B virus genotype H subtype adw4 (isolate Nicaragua/2928Nic/1997) (HBV-H) || 489541 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1037 || Hepatitis B virus genotype D subtype ayw (isolate France/Tiollais/1979) (HBV-D) || 490133 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1038 || Influenza A virus (strain A/Hong Kong/1/1968 H3N2) || 506350 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1039 || Hepatitis E virus genotype 3 (isolate Human/United States/US2) (HEV-3) || 509615 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1040 || Hepatitis E virus genotype 4 (isolate Human/China/T1) (HEV-4) (Hepatitis E virus genotype 4 (isolate Human/China/Ct1)) || 509627 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1041 || Human papillomavirus 73 || 51033 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1042 || Hepatitis E virus genotype 3 (isolate Swine/United States/swUS1) (HEV-3) (Hepatitis E virus genotype 3 (isolate Swine/United States/Meng)) || 512345 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1043 || Hepatitis E virus genotype 1 (isolate Human/India/Hyderabad) (HEV-1) || 512346 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1044 || Influenza B virus (strain B/Lee/1940) || 518987 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1045 || Influenza A virus (strain A/Russia:St.Petersburg/8/2006 H1N1) || 518998 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1046 || Norovirus (strain Human/NoV/United States/Norwalk/1968/GI) (Hu/NV/NV/1968/US) || 524364 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1047 || Human herpesvirus 7 (strain JI) (HHV-7) (Human T lymphotropic virus) || 57278 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1048 || Human herpesvirus 7 (strain MUK) (HHV-7) (Human T lymphotropic virus) || 57279 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1049 || Human bocavirus 2 (HBoV2) (Human bocavirus type 2) || 573977 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1050 || Rotavirus A (isolate RVA/Human/United Kingdom/A64/1987/G10P11[14]) (RV-A) || 578827 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1051 || Rotavirus A (strain RVA/Human/Japan/KUN/1980/G2P1B[4]) (RV-A) || 578829 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1052 || Rotavirus A (isolate RVA/Human/United States/WI61/1983/G9P1A[8]) (RV-A) || 578830 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1053 || Rotavirus A (strain RVA/Human/United States/D/1974/G1P1A[8]) (RV-A) || 578831 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1054 || Rotavirus A (strain RVA/Human/Japan/YO/1977/G3P1A[8]) (RV-A) || 578832 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1055 || Rotavirus A (strain RVA/Human/United States/M/1976/G3P[X]) (RV-A) || 578834 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1056 || Rotavirus A (isolate RVA/Human/Belgium/B4106/2000/G3P11[14]) (RV-A) (Rotavirus A (isolate B4106)) || 578843 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1057 || Variola virus (isolate Human/India/Ind3/1967) (VARV) (Smallpox virus) || 587200 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1058 || Getah virus (GETV) || 59300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1059 || Sagiyama virus (SAGV) || 59303 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1060 || Ilheus virus (ILHV) || 59563 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1061 || Monkeypox virus (strain Zaire-96-I-16) (MPX) || 619591 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1062 || Influenza A virus (strain A/Kitakyushu/159/1993 H3N2) || 62478 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1063 || Hepatitis C virus genotype 1a (isolate H77) (HCV) || 63746 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1064 || Rotavirus A (isolate RVA/Human/India/116E/1986/G9P8[11]) (RV-A) || 638299 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1065 || Human bocavirus 3 (HBoV3) (Adelavirus W471) || 638313 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1066 || Influenza A virus (strain swl A/California/04/2009 H1N1) || 641501 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1067 || Usutu virus (USUV) || 64286 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1068 || Tembusu virus (TMUV) || 64293 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1069 || Bussuquara virus (BUSV) || 64304 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1070 || Rocio virus (ROCV) || 64315 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1071 || Zika virus (ZIKV) || 64320 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1072 || Influenza A virus (strain swl A/New York/23/2009 H1N1) || 643546 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1073 || Influenza A virus (strain swl A/Mexico/InDRE4487/2009 H1N1) || 643780 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1074 || Influenza A virus (strain swl A/Paris/2590/2009 H1N1) || 644653 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1075 || Influenza A virus (strain swl A/Mexico/4108/2009 H1N1) || 644882 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1076 || Measles virus (strain Ichinose-B95a) (MeV) (Subacute sclerose panencephalitis virus) || 645098 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1077 || Human astrovirus VA1 (HAstV-VA1) (Mamastrovirus 9) || 645687 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1078 || Orf virus (strain Goat/Texas/SA00/2000) (OV-SA00) (Orf virus-San Angelo 2000) || 647330 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1079 || Human picobirnavirus (strain Human/Thailand/Hy005102/-) (PBV) || 647332 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1080 || Colorado tick fever virus (strain USA/Florio N-7180) (CTFV) || 648168 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1081 || Human parvovirus B19 (strain HV) (HPV B19) || 648237 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1082 || Human parvovirus B19 (isolate AU) (HPV B19) || 648238 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1083 || Influenza A virus (strain swl A/Guangdong/02/2009 H1N1) || 649331 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1084 || Human rhinovirus A serotype 89 (strain 41467-Gallo) (HRV-89) || 650130 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1085 || Aichi virus (strain Human/A846/88/1989) (AiV) (Aichi virus (strain A846/88)) || 650132 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1086 || Influenza A virus (strain swl A/Italy/05/2009 H1N1) || 651124 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1087 || Salivirus A (isolate Human/Nigeria/NG-J1/2007) (SV-A) || 651733 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1088 || Hepatitis E virus genotype 1 (isolate Human/China/HeBei/1987) (HEV) || 652674 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1089 || Influenza A virus (strain swl A/Sakai/1/2009 H1N1) || 652935 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1090 || Crimean-Congo hemorrhagic fever virus (strain Nigeria/IbAr10200/1970) (CCHFV) || 652961 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1091 || Human klassevirus 1 (HKV-1) || 655603 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1092 || Measles virus (strain Shanghai-191 vaccine) (MeV) || 673322 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1093 || Human torovirus (HuTV) || 67605 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1094 || Torque teno virus (isolate Human/Finland/Hel32/2002) (TTV) (Torque teno virus genotype 6) || 687342 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1095 || Torque teno virus (isolate Human/Germany/KAV/2001) (TTV) || 687345 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1096 || Torque teno virus (isolate Japanese macaque/Japan/Mf-TTV9/2000) (TTV) || 687364 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1097 || Torque teno virus (isolate Human/China/CT23F/2001) (TTV) || 687366 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1098 || Primate bocaparvovirus 1 (strain Human bocavirus 1 type 1) (HBoV1) (Human bocavirus type 1) || 689403 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1099 || Human enterovirus 71 (strain USA/BrCr/1970) (EV71) (EV-71) || 69153 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1100 || Coxsackievirus A16 (strain G-10) || 69159 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1101 || Human cytomegalovirus (strain 1042) (HHV-5) (Human herpesvirus 5) || 69162 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1102 || Human cytomegalovirus (strain 2387) (HHV-5) (Human herpesvirus 5) || 69163 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1103 || Human cytomegalovirus (strain 4654) (HHV-5) (Human herpesvirus 5) || 69164 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1104 || Human cytomegalovirus (strain 5040) (HHV-5) (Human herpesvirus 5) || 69165 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1105 || Human cytomegalovirus (strain 5035) (HHV-5) (Human herpesvirus 5) || 69166 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1106 || Human cytomegalovirus (strain 5160) (HHV-5) (Human herpesvirus 5) || 69167 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1107 || Human cytomegalovirus (strain 5508) (HHV-5) (Human herpesvirus 5) || 69168 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1108 || Human cytomegalovirus (strain PT) (HHV-5) (Human herpesvirus 5) || 69169 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1109 || Severe acute respiratory syndrome coronavirus (SARS-CoV) || 694009 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1110 || Human metapneumovirus (strain CAN97-83) (HMPV) || 694067 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1111 || Measles virus (strain Edmonston B) (MeV) (Subacute sclerose panencephalitis virus) || 70146 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1112 || Measles virus (strain Leningrad-16) (MeV) (Subacute sclerose panencephalitis virus) || 70147 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1113 || Measles virus (strain Philadelphia-26) (MeV) (Subacute sclerose panencephalitis virus) || 70148 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1114 || Measles virus (strain Edmonston-Zagreb vaccine) (MeV) (Subacute sclerose panencephalitis virus) || 70149 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1115 || Tick-borne encephalitis virus (strain Hypr) (TBEV) || 70733 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1116 || Aichi virus (AiV) || 72149 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1117 || Human cytomegalovirus (strain 119) (HHV-5) (Human herpesvirus 5) || 73483 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1118 || Human immunodeficiency virus type 2 subtype A (isolate KR) (HIV-2) || 73484 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1119 || Orf virus (strain NZ7) (OV NZ-7) || 73495 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1120 || Human associated cyclovirus 1 (isolate Homo sapiens/Pakistan/PK5510/2007) (HuCyV-1) (Cyclovirus PK5510) || 742918 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1121 || Torque teno virus 1 (isolate TA278) || 766182 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1122 || Torque teno mini virus 1 (isolate TLMV-CBD279) || 766183 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1123 || Torque teno midi virus 1 (isolate MD1-073) || 766184 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1124 || Dugbe virus (isolate ArD44313) (DUGV) || 766194 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1125 || Bunyavirus La Crosse (isolate Human/United States/L78/1978) || 796210 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1126 || Human papillomavirus type RTRX7 || 79691 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1127 || Human respiratory syncytial virus B (strain B1) || 79692 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1128 || Rotavirus A (isolate RVA/Human/Israel/RO1845/1993/G3P5A[3]) (RV-A) || 79694 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1129 || O&#039;nyong-nyong virus (strain Igbo Ora) (ONNV) (Igbo Ora virus) || 79899 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1130 || Lordsdale virus (strain GII/Human/United Kingdom/Lordsdale/1993) (Human enteric calicivirus) (Hu/NV/LD/1993/UK) || 82658 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1131 || Sapporo virus (strain Human/United Kingdom/Manchester/1993) (Hu/SV/Man/1993/UK) || 82659 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1132 || Epstein-Barr virus (strain P3HR-1) (HHV-4) (Human herpesvirus 4) || 82829 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1133 || Epstein-Barr virus (strain AG876) (HHV-4) (Human herpesvirus 4) || 82830 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1134 || Human immunodeficiency virus type 1 group M subtype B (isolate LW123) (HIV-1) || 82834 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1135 || Human herpesvirus 8 type P (isolate GK18) (HHV-8) (Kaposi&#039;s sarcoma-associated herpesvirus) || 868565 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1136 || Influenza A virus (strain A/Brevig Mission/1/1918 H1N1) (Influenza A virus (strain A/South Carolina/1/1918 H1N1)) || 88776 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1137 || Hepatitis B virus genotype C subtype ayr (isolate Human/Japan/Okamoto/-) (HBV-C) || 928302 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1138 || Hendra virus (isolate Horse/Autralia/Hendra/1994) || 928303 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1139 || Yaba monkey tumor virus (strain VR587) (YMTV) || 928314 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1140 || Influenza A virus (strain A/Goose/Guangdong/1/1996 H5N1 genotype Gs/Gd) || 93838 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1141 || Influenza B virus (strain B/Memphis/3/1989) || 98827 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1142 || Influenza B virus (strain B/Memphis/12/1997) || 98832 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1143 || SFTS phlebovirus (isolate SFTSV/Human/China/HB29/2010) (Severe fever with thrombocytopenia virus) || 992212 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1144 || Chiba virus (strain GI/Human/Japan/Chiba 407/1987) (Hu/NLV/Chiba 407/1987/JP) || 99565 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1145 || Aigai virus || 2849717 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1146 || Alenquer virus || 629726 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1147 || Anelloviridae sp. || 2055263 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1148 || Aura virus || 44158 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1149 || Banna virus || 77763 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1150 || Banzi virus || 38837 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1151 || Barmah Forest virus || 11020 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1152 || Batai virus || 80942 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1153 || Bhanja virus || 1213620 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1154 || Borna disease virus 1 || 1714621 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1155 || Bourbon virus || 1618189 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1156 || Bovine papular stomatitis virus || 129727 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1157 || Bundibugyo virus || 565995 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1158 || Bólè tick virus 3 || 1608042 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1159 || Běijí nairovirus || 2304647 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1160 || Cache Valley virus || 80935 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1161 || Caraparú virus || 192196 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1162 || Cardamones virus || 1437125 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1163 || Catú virus || 1678225 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1164 || Chagres virus || 629727 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1165 || Chandipura virus || 11272 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1166 || Chicken anemia virus || 12618 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1167 || Choclo virus || 169173 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1168 || Coclé virus || 1649829 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1169 || Colorado tick fever virus || 46839 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1170 || Ebola virus || 1570291 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1171 || Echarate virus || 1000646 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1172 || Ekpoma virus 1 || 1987020 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1173 || Ekpoma virus 2 || 1987021 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1174 || European bat lyssavirus 1 || 57482 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1175 || European bat lyssavirus 2 || 57483 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1176 || Fort Sherman virus || 273345 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1177 || GB virus-B || 2847087 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1178 || Gemycircularvirus sp. || 1983771 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1179 || Gibbon ape leukemia virus || 11840 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1180 || Guaroa virus || 80941 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1181 || Heartland virus || 1216928 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1182 || Human circovirus VS6600022 || 1525173 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1183 || Human genital-associated circular DNA virus-1 || 1488574 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1184 || Ilesha virus || 273341 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1185 || Ilhéus virus || 59563 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1186 || Ingwavuma virus || 159145 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1187 || JC polyomavirus || 10632 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1188 || Jamestown Canyon virus || 35511 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1189 || Japanese encephalitis virus || 11072 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1190 || Kadipiro virus || 104580 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1191 || Keystone virus || 35514 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1192 || Kyasanur Forest disease virus || 33743 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1193 || LI polyomavirus || 1965344 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1194 || La Crosse virus || 11577 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1195 || Langat virus || 11085 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1196 || Le Dantec virus || 318848 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1197 || Lángyá virus || 2971765 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1198 || MW polyomavirus || 1203539 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1199 || Madrid virus || 348013 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1200 || Maguari virus || 11575 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1201 || Maldonado virus || 1004889 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1202 || Marituba virus || 292278 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1203 || Mayaro virus || 59301 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1204 || Melao virus || 35515 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1205 || Merkel cell polyomavirus || 493803 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1206 || Middelburg virus || 11023 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1207 || Middle East respiratory syndrome-related coronavirus || 1335626 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1208 || Moloney murine leukemia virus || 11801 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1209 || Mundri virus || 2913478 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1210 || Murray Valley encephalitis virus || 11079 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1211 || Nairobi sheep disease virus || 194540 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1212 || Nelson Bay orthoreovirus || 118027 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1213 || Ngari virus || 273357 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1214 || Norwalk virus || 11983 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1215 || Omsk hemorrhagic fever virus || 12542 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1216 || Oriboca virus || 192199 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1217 || Oropouche virus || 118655 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1218 || Orungo virus || 40058 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1219 || Oya virus || 181003 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1220 || Powassan virus || 11083 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1221 || Punta Toro virus || 11587 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1222 || Rift Valley fever virus || 11588 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1223 || Ross River virus || 11029 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1224 || SAfia-838D_Ambidensovirus || 3070158 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1225 || STL polyomavirus || 1277649 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1226 || Sabiá virus || 2907957 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1227 || Sapporo virus || 95342 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1228 || Semliki Forest virus || 11033 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1229 || Sindbis virus || 11034 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1230 || Sosuga virus || 1452514 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1231 || St. Louis encephalitis virus || 11080 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1232 || Sōnglǐng virus || 2795181 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1233 || TTV-like mini virus || 93678 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1234 || Tacaiuma virus || 611707 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1235 || Tahyňa virus || 45270 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1236 || Tanapox virus || 99000 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1237 || Tataguine virus || 1623310 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1238 || Tembusu virus || 64293 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1239 || Toscana virus || 11590 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1240 || Trichodysplasia spinulosa-associated polyomavirus || 862909 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1241 || Tǎchéng tick virus 1 || 1608083 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1242 || Tǎchéng tick virus 2 || 1608084 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1243 || Tǎchéng tick virus 5 || 1608087 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1244 || Umbre virus || 552554 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1245 || Usutu virus || 64286 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1246 || WU polyomavirus || 440266 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1247 || Wesselsbron virus || 164416 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1248 || Yezo virus || 2825847 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1249 || Zika virus || 64320 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1250 || adeno-associated virus 2 || 10804 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1251 || avastrovirus 2 || 1239438 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1252 || avian gyrovirus 2 || 1002273 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1253 || avian paramyxovirus 1 || 2560319 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1254 || bovine leukemia virus || 11901 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1255 || bovine parvovirus 3 || 172297 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1256 || bovine viral diarrhea virus 1 || 11099 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1257 || bovine viral diarrhea virus 2 || 54315 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1258 || camelpox virus || 28873 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1259 || chimpanzee smacovirus || 1603067 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1260 || cosavirus A1 || 2757769 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1261 || cosavirus B1 || 2849707 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1262 || cosavirus D1 || 586468 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1263 || cosavirus E1 || 2849712 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1264 || cosavirus F1 || 2849713 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1265 || cowpox virus || 10243 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1266 || coxsackievirus A2 || 33757 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1267 || coxsackievirus B3 || 12072 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1268 || dengue virus || 12637 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1269 || ectromelia virus || 12643 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1270 || enterovirus D68 || 42789 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1271 || equine torovirus || 329862 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1272 || gyrovirus 4 || 1214955 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1273 || gyrovirus GyV3 || 1163715 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1274 || gyrovirus Tu243 || 1415627 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1275 || gyrovirus Tu789 || 1415628 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1276 || hepatitis D virus 1 || 2847173 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1277 || hepatitis D virus 2 || 2847174 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1278 || hepatitis D virus 3 || 2847175 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1279 || hepatitis D virus 4 || 2847176 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1280 || hepatitis E virus || 291484 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1281 || human adenovirus 40 || 28284 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1282 || human adenovirus 52 || 332179 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1283 || human associated cyclovirus 1 || 2038719 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1284 || human associated cyclovirus 10 || 2038728 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1285 || human associated cyclovirus 11 || 1987745 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1286 || human associated cyclovirus 12 || 2169855 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1287 || human associated cyclovirus 2 || 2038720 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1288 || human associated cyclovirus 3 || 2038721 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1289 || human associated cyclovirus 4 || 2038722 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1290 || human associated cyclovirus 5 || 2038723 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1291 || human associated cyclovirus 6 || 2038724 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1292 || human associated cyclovirus 7 || 2038725 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1293 || human associated cyclovirus 8 || 2038726 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1294 || human associated cyclovirus 9 || 2038727 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1295 || human associated gemykibivirus 1 || 2004487 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1296 || human associated gemykibivirus 2 || 2004957 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1297 || human associated gemykibivirus 3 || 2004960 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1298 || human associated gemykibivirus 4 || 2004961 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1299 || human associated gemykibivirus 5 || 2004962 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1300 || human associated gemyvongvirus 1 || 1985415 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1301 || human associated porprismacovirus || 2530494 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1302 || human associated porprismacovirus 3 || 2496633 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1303 || human bocavirus 1 || 689403 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1304 || human bocavirus 2c || 2773471 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1305 || human circovirus 1 || 3025750 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1306 || human feces smacovirus 2 || 1820158 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1307 || human feces smacovirus 3 || 1820159 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1308 || human metapneumovirus || 162145 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1309 || human papillomavirus 10 || 333759 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1310 || human papillomavirus 101 || 915425 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1311 || human papillomavirus 109 || 915426 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1312 || human papillomavirus 112 || 915427 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1313 || human papillomavirus 116 || 915428 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1314 || human papillomavirus 121 || 915429 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1315 || human papillomavirus 126 || 1055684 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1316 || human papillomavirus 127 || 746832 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1317 || human papillomavirus 128 || 931209 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1318 || human papillomavirus 131 || 909330 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1319 || human papillomavirus 135 || 1070408 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1320 || human papillomavirus 137 || 1070410 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1321 || human papillomavirus 144 || 1070417 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1322 || human papillomavirus 156 || 1248396 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1323 || human papillomavirus 16 || 333760 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1324 || human papillomavirus 163 || 1315262 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1325 || human papillomavirus 167 || 1420545 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1326 || human papillomavirus 172 || 1434987 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1327 || human papillomavirus 175 || 1434782 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1328 || human papillomavirus 178 || 1478160 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1329 || human papillomavirus 18 || 333761 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1330 || human papillomavirus 184 || 1472343 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1331 || human papillomavirus 187 || 1851130 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1332 || human papillomavirus 201 || 1682340 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1333 || human papillomavirus 204 || 1650736 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1334 || human papillomavirus 32 || 333763 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1335 || human papillomavirus 49 || 10616 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1336 || human papillomavirus 71 || 120686 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1337 || human papillomavirus 88 || 337054 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1338 || human papillomavirus 92 || 211787 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1339 || human papillomavirus 96 || 247269 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1340 || human parainfluenza virus 4a || 11224 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1341 || human parvovirus 4 || 289365 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1342 || human parvovirus B19 || 10798 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1343 || human pegivirus || 1758225 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1344 || human polyomavirus 6 || 746830 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1345 || human polyomavirus 7 || 746831 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1346 || human polyomavirus 9 || 943908 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1347 || human respiratory-associated brisavirus || 3116878 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1348 || human smacovirus 1 || 1595998 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1349 || influenza A virus || 11320 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1350 || influenza C virus || 11552 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1351 || louping ill virus || 11086 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1352 || mamastrovirus 1 || 1239565 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1353 || mamastrovirus 5 || 1239569 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1354 || mamastrovirus 6 || 1239570 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1355 || mamastrovirus 8 || 1239572 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1356 || mamastrovirus 9 || 1239573 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1357 || mammalian orthoreovirus 3 || 538123 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1358 || molluscum contagiosum virus || 10279 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1359 || mouse mammary tumor virus || 11757 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1360 || orf virus || 10258 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1361 || parainfluenza virus 5 || 2905673 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1362 || poliovirus 1 || 12080 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1363 || porcine circovirus 1 || 133704 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1364 || porcine circovirus 2 || 85708 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1365 || porcine coronavirus HKU15 || 1159905 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1366 || porcine torovirus || 237020 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1367 || primate T-lymphotropic virus 1 || 194440 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1368 || primate T-lymphotropic virus 2 || 194441 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1369 || primate T-lymphotropic virus 3 || 194443 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1370 || pseudocowpox virus || 129726 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1371 || rat hepatitis E virus || 2848048 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1372 || rhinovirus A1 || 573824 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1373 || rhinovirus B3 || 44130 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1374 || rhinovirus C1 || 1219416 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1375 || rosavirus A2 || 1511807 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1376 || rotavirus A || 28875 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1377 || rotavirus B || 28876 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1378 || rotavirus C || 36427 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1379 || rotavirus H || 1348384 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1380 || rubella virus || 11041 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1381 || salivirus A1 || 2847280 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1382 || sandfly fever Naples virus || 206160 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1383 || sandfly fever Sicilian virus || 28292 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1384 || severe acute respiratory syndrome coronavirus || 2901879 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1385 || severe fever with thrombocytopenia syndrome virus || 1003835 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1386 || simian foamy virus Pan troglodytes schweinfurthii || 2849769 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1387 || simian foamy virus Pan troglodytes troglodytes || 2849770 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1388 || simian immunodeficiency virus || 11723 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1389 || simian parvovirus || 31598 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1390 || tick-borne encephalitis virus || 11084 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1391 || torque teno midi virus 1 || 687379 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1392 || torque teno midi virus 10 || 2065051 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1393 || torque teno midi virus 11 || 2065052 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1394 || torque teno midi virus 12 || 2065053 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1395 || torque teno midi virus 13 || 2065054 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1396 || torque teno midi virus 14 || 2065055 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1397 || torque teno midi virus 15 || 2065056 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1398 || torque teno midi virus 2 || 687380 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1399 || torque teno midi virus 3 || 2065044 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1400 || torque teno midi virus 4 || 2065045 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1401 || torque teno midi virus 5 || 2065046 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1402 || torque teno midi virus 6 || 2065047 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1403 || torque teno midi virus 7 || 2065048 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1404 || torque teno midi virus 8 || 2065049 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1405 || torque teno midi virus 9 || 2065050 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1406 || torque teno mini virus 1 || 687369 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1407 || torque teno mini virus 10 || 2065036 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1408 || torque teno mini virus 11 || 2065037 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1409 || torque teno mini virus 12 || 2065038 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1410 || torque teno mini virus 18 || 1859149 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1411 || torque teno mini virus 2 || 687370 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1412 || torque teno mini virus 3 || 687371 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1413 || torque teno mini virus 4 || 687372 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1414 || torque teno mini virus 5 || 687373 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1415 || torque teno mini virus 6 || 687374 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1416 || torque teno mini virus 7 || 687375 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1417 || torque teno mini virus 8 || 687376 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1418 || torque teno mini virus 9 || 687377 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1419 || torque teno mini virus ALA22 || 1535290 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1420 || torque teno mini virus ALH8 || 1535291 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1421 || torque teno mini virus SHA || 2057931 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1422 || torque teno virus || 68887 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1423 || torque teno virus 1 || 687340 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1424 || torque teno virus 10 || 687349 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1425 || torque teno virus 13 || 687352 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1426 || torque teno virus 15 || 687354 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1427 || torque teno virus 17 || 687356 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1428 || torque teno virus 18 || 687357 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1429 || torque teno virus 19 || 687358 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1430 || torque teno virus 2 || 687341 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1431 || torque teno virus 20 || 687359 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1432 || torque teno virus 21 || 687360 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1433 || torque teno virus 24 || 687363 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1434 || torque teno virus 29 || 687368 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1435 || torque teno virus 3 || 687342 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1436 || torque teno virus 5 || 687344 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1437 || torque teno virus 6 || 687345 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1438 || torque teno virus 7 || 687346 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1439 || torque teno virus 9 || 687348 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1440 || transmissible gastroenteritis virus || 11149 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1441 || variegated squirrel bornavirus 1 || 1885248 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1442 || vesicular exanthema of swine virus || 35612 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1443 || vesicular stomatitis Indiana virus || 11277 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1444 || yellow fever virus || 11089 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1445 || Enterovirus D || 138951 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1446 || Human mastadenovirus C || 129951 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1447 || Human mastadenovirus D || 130310 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1448 || Human mastadenovirus E || 130308 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1449 || Human orthorubulavirus 2 || 2560525 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1450 || Human orthorubulavirus 4 || 2560526 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1451 || Human parainfluenza virus 4b || 11226 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1452 || Human Respiratory syncytial virus 9320 || 253182 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1453 || Human respiratory syncytial virus A || 208893 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1454 || Human respiratory syncytial virus B || 208895 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1455 || Human respirovirus 1 || 12730 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1456 || Human respirovirus 3 || 11216 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1457 || rhinovirus A || 147711 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1458 || rhinovirus A101 || 1219381 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1459 || rhinovirus A103 || 1033850 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1460 || rhinovirus A105 || 2777143 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1461 || rhinovirus A11 || 39767 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1462 || rhinovirus A12 || 147684 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1463 || rhinovirus A13 || 185893 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1464 || rhinovirus A1B || 2777147 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1465 || rhinovirus A2 || 12130 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1466 || rhinovirus A20 || 147675 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1467 || rhinovirus A21 || 44128 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1468 || rhinovirus A22 || 185896 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1469 || rhinovirus A23 || 12135 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1470 || rhinovirus A24 || 185897 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1471 || rhinovirus A25 || 185898 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1472 || rhinovirus A28 || 147672 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1473 || rhinovirus A29 || 44129 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1474 || rhinovirus A30 || 185901 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1475 || rhinovirus A31 || 185902 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1476 || rhinovirus A34 || 185905 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1477 || rhinovirus A39 || 185907 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1478 || rhinovirus A40 || 185908 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1479 || rhinovirus A46 || 167324 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1480 || rhinovirus A47 || 185911 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1481 || rhinovirus A49 || 44131 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1482 || rhinovirus A53 || 185913 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1483 || rhinovirus A54 || 185914 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1484 || rhinovirus A58 || 44133 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1485 || rhinovirus A59 || 185918 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1486 || rhinovirus A60 || 185919 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1487 || rhinovirus A61 || 185920 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1488 || rhinovirus A63 || 185921 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1489 || rhinovirus A66 || 185923 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1490 || rhinovirus A67 || 185924 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1491 || rhinovirus A68 || 185925 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1492 || rhinovirus A78 || 147685 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1493 || rhinovirus A80 || 185934 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1494 || rhinovirus A85 || 185937 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1495 || rhinovirus A9 || 185891 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1496 || rhinovirus A94 || 185941 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1497 || rhinovirus B || 147712 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1498 || rhinovirus B100 || 2777136 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1499 || rhinovirus B101 || 2777137 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1500 || rhinovirus B14 || 12131 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1501 || rhinovirus B27 || 185900 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1502 || rhinovirus B4 || 185889 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1503 || rhinovirus B42 || 147683 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1504 || rhinovirus B6 || 147681 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1505 || rhinovirus B70 || 185926 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1506 || rhinovirus B91 || 167325 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1507 || rhinovirus C || 463676 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1508 || rhinovirus C11 || 1240004 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1509 || rhinovirus C13 || 2777132 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1510 || rhinovirus C15 || 1418033 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1511 || rhinovirus C17 || 1219404 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1512 || rhinovirus C19 || 1418043 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1513 || rhinovirus C2 || 1219376 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1514 || rhinovirus C20 || 1418062 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1515 || rhinovirus C23 || 2045067 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1516 || rhinovirus C26 || 2045069 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1517 || rhinovirus C28 || 1418042 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1518 || rhinovirus C3 || 1219377 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1519 || rhinovirus C31 || 2045073 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1520 || rhinovirus C33 || 2045074 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1521 || rhinovirus C34 || 2045075 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1522 || rhinovirus C36 || 1418041 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1523 || rhinovirus C40 || 1219406 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1524 || rhinovirus C42 || 1219407 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1525 || rhinovirus C43 || 1219413 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1526 || rhinovirus C44 || 2045079 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1527 || rhinovirus C55 || 2555550 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1528 || rhinovirus C56 || 2094116 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1529 || rhinovirus C6 || 1219378 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1530 || rhinovirus C7 || 1219379 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1531 || rhinovirus C8 || 1219380 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1532 || rhinovirus C9 || 1220265 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1533 || Orthomarburgvirus marburgense || 3052505 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1534 || Orthonairovirus haemorrhagiae || 3052518 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1535 || Orthonairovirus yezoense || 3060506 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1536 || Sudan ebolavirus || 186540 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1537 || Tai Forest ebolavirus || 186541 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1538 || Zaire ebolavirus || 186538 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1539 || Betapolyomavirus tertihominis || 1891764 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1540 || Cardiovirus B || 1821750 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1541 || Coxsackievirus A16 || 31704 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1542 || Coxsackievirus A21 || 12069 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1543 || Coxsackievirus A4 || 42785 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1544 || Coxsackievirus A6 || 86107 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1545 || Coxsackievirus A9 || 12067 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1546 || Coxsackievirus B1 || 12071 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1547 || Coxsackievirus B2 || 82639 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1548 || Coxsackievirus B4 || 12073 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1549 || Coxsackievirus B5 || 12074 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1550 || dengue virus type 1 || 11053 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1551 || dengue virus type 3 || 11069 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1552 || Eastern equine encephalitis virus || 11021 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1553 || Echovirus E11 || 12078 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1554 || Echovirus E16 || 47504 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1555 || Echovirus E18 || 47506 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1556 || Echovirus E25 || 45101 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1557 || Echovirus E30 || 41846 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1558 || Echovirus E31 || 47513 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1559 || Echovirus E4 || 35295 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1560 || Echovirus E6 || 12062 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1561 || Echovirus E7 || 46018 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1562 || Echovirus E9 || 12060 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1563 || Hepatovirus A || 12092 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1564 || Human adenovirus 1 || 10533 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1565 || Human adenovirus 106 || 3025491 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1566 || Human adenovirus 108 || 3043599 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1567 || Human adenovirus 11 || 10541 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1568 || Human adenovirus 14 || 10521 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1569 || Human adenovirus 21 || 32608 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1570 || Human adenovirus 31 || 10529 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1571 || Human adenovirus 34 || 10548 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1572 || Human adenovirus 35 || 10522 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1573 || Human adenovirus 41 || 10524 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1574 || Human adenovirus 51 || 245072 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1575 || Human adenovirus 56 || 880565 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1576 || Human adenovirus 6 || 10534 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1577 || Human adenovirus 64 || 1145295 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1578 || Human adenovirus 7 || 10519 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1579 || Human adenovirus 89 || 3033760 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1580 || Human adenovirus B3 || 45659 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1581 || Human adenovirus C108 || 3088344 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1582 || Human adenovirus D37 || 52275 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1583 || Human betaherpesvirus 5 || 10359 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1584 || human gammaherpesvirus 4 || 10376 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1585 || Human parechovirus 1B || 3092269 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1586 || Lyssavirus rabies || 11292 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1587 || Marburg virus || 33727 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1588 || Measles virus genotype B3 || 658048 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1589 || Measles virus genotype D8 || 170528 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1590 || Metapneumovirus hominis || 694067 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1591 || Morbillivirus hominis || 3052345 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1592 || Mumps virus genotype G || 1384672 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1593 || Norovirus GII || 122929 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1594 || Orthoflavivirus encephalitidis || 3052465 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1595 || Orthoflavivirus nilense || 3048448 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1596 || Orthopoxvirus monkeypox || 3431483 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1597 || Respiratory syncytial virus type A || 1439707 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1598 || Roseomonas sp. FDAARGOS_362 || 2018065 ||  || FDA-ARGOS || &lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Eukaryotic Pathogens ==&lt;br /&gt;
&amp;lt;div style=&amp;quot;height: 500px; overflow-y: auto;&amp;quot;&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
! # !! Organism Name !! NCBI_taxid !! Source_NIAID !! Source_ARGOS !! Source_WHO&lt;br /&gt;
|-&lt;br /&gt;
| 1 || Coccidioides immitis || 5501 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 2 || Coccidioides posadasii || 199306 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 3 || Microsporidia || 6029 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 4 || Mucorales || 4827 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 5 || Balamuthia mandrillaris || 66527 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 6 || Cryptosporidium parvum || 5807 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 7 || Cyclospora cayetanensis || 88456 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 8 || Entamoeba histolytica || 5759 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 9 || Giardia lamblia || 5741 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 10 || Naegleria fowleri || 5763 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 11 || Toxoplasma gondii || 5811 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 12 || Aspergillus flavus || 5059 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 13 || Aspergillus fumigatus || 746128 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 14 || Blastomyces dermatitidis || 559297 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 15 || Candida albicans || 5476 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 16 || Candida parapsilosis || 5480 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 17 || Candidozyma auris || 498019 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 18 || Fusarium acuminatum || 5515 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 19 || Fusarium avenaceum || 40199 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 20 || Fusarium culmorum || 5516 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 21 || Fusarium graminearum || 5518 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 22 || Fusarium meridionale || 282269 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 23 || Fusarium odoratissimum || 2502994 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 24 || Fusarium oxysporum || 327505 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 25 || Fusarium oxysporum f. sp. albedinis || 72712 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 26 || Fusarium oxysporum f. sp. cepae || 396571 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 27 || Fusarium phialophorum || 2750198 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 28 || Fusarium pseudograminearum || 101028 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 29 || Fusarium verticillioides || 117187 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 30 || Fusobacteria necrophorum || 143387 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 31 || Nakaseomyces glabratus(Candida glabrata) || 5478 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 32 || Rhizopus delemar || 246409 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 33 || Rhizopus microsporus || 58291 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 34 || Rhizopus microsporus var. microsporus || 86635 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 35 || Actinomyces naeslundii || 1655 ||  ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 36 || Actinomyces oris || 544580 ||  ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 37 || Aspergillus niger || 5061 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 38 || Saccharomyces cerevisiae || 4932 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 39 || Cryptococcus neoformans || 5207 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 40 || Histoplasma spp. || 5036 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 41 || Candida tropicalis || 5482 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 42 || Scedosporium || 41687 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 43 || Lomentospora prolificans || 41688 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 44 || Pichia kudriavzevii(Candida krusei) || 4909 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 45 || Cryptococcus gattii || 37769 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 46 || Talaromyces marneffei || 37727 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 47 || Pneumocystis jirovecii || 42068 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 48 || Pneumocystis jirovecii RU7 || 1408657 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 49 || Paracoccidioides || 38946 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|}&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Comprehensive_Pathogenic_Organisms_Reference&amp;diff=1243</id>
		<title>Comprehensive Pathogenic Organisms Reference</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Comprehensive_Pathogenic_Organisms_Reference&amp;diff=1243"/>
		<updated>2026-04-08T14:59:38Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page provides a comprehensive reference table of human pathogenic organisms, including bacteria, viruses, and eukaryotic pathogens. The table integrates data from multiple curated sources and includes taxonomic identifiers and classification information for downstream analysis and database integration. The current dataset comprises 1,705 bacterial species, 1598 viral species, and 49 fungal and other eukaryotic organisms. You can browse and review the contents of this dataset on this wiki page. To download or work with the full file, it is available on [https://github.com/FDA-ARGOS/data.argosdb/blob/main/data_files/HumanPathogens_Comprehensive.xlsx GitHub].&lt;br /&gt;
&lt;br /&gt;
Pathogen names were collected and standardized using data from the following sources.&lt;br /&gt;
&lt;br /&gt;
# [https://data.argosdb.org/ FDA-ARGOS] (includes NCBI FDA-ARGOS BioProject 231221 + additional organisms analyzed as part of the [https://www.fda.gov/emergency-preparedness-and-response/preparedness-research/expanding-next-generation-sequencing-tools-support-pandemic-preparedness-and-response project]) &lt;br /&gt;
# [https://pubmed.ncbi.nlm.nih.gov/36748702/ PMID: 36748702] (Bartlett et. al. A comprehensive list of bacterial pathogens infecting humans)&lt;br /&gt;
# [https://pubmed.ncbi.nlm.nih.gov/39923424/ PMID: 39923424] (He et. al. Human viruses: An ever-increasing list)&lt;br /&gt;
# [https://www.uniprot.org/uniprotkb?query=%28taxonomy_id:10239%29 UniProt taxonomy records] (Curated UniProt Human as host data)&lt;br /&gt;
# [https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c National Institute of Allergy and Infectious Diseases biodefense pathogen lists]&lt;br /&gt;
# [https://www.who.int/publications/i/item/9789240060241 World Health Organization reports]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
 __TOC__&lt;br /&gt;
&lt;br /&gt;
== Bacterial Pathogens ==&lt;br /&gt;
&amp;lt;div style=&amp;quot;height: 500px; overflow-y: auto;&amp;quot;&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
! # !! Organism Name !! NCBI_taxid !! Source_PMID !! Source_ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1 || Abiotrophia defectiva || 46125 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 2 || Abiotrophia elegans || 137732 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 3 || Acetobacter cibinongensis || 146475 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 4 || Acetobacter indonesiensis || 104101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 5 || Acholeplasma oculi || 35623 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 6 || Achromobacter aegrifaciens || 1287736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 7 || Achromobacter animicus || 1389935 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 8 || Achromobacter anxifer || 1287737 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 9 || Achromobacter denitrificans || 32002 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 10 || Achromobacter dolens || 1287738 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 11 || Achromobacter insolitus || 217204 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 12 || Achromobacter insuavis || 1287735 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 13 || Achromobacter marplatensis || 470868 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 14 || Achromobacter mucicolens || 1389922 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 15 || Achromobacter piechaudii || 72556 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 16 || Achromobacter pulmonis || 1389932 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 17 || Achromobacter ruhlandii || 72557 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 18 || Achromobacter spanius || 217203 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 19 || Achromobacter spiritinus || 470868 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 20 || Achromobacter xylosoxidans || 85698 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 21 || Acidaminococcus fermentans || 905 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 22 || Acidomonas methanolica || 437 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 23 || Acidovorax oryzae || 862720 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 24 || Acinetobacter baumannii || 470 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 25 || Acinetobacter baylyi || 202950 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 26 || Acinetobacter beijerinckii || 262668 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 27 || Acinetobacter bereziniae || 106648 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 28 || Acinetobacter calcoaceticus || 471 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 29 || Acinetobacter guillouiae || 106649 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 30 || Acinetobacter gyllenbergii || 134534 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 31 || Acinetobacter haemolyticus || 29430 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 32 || Acinetobacter johnsonii || 40214 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 33 || Acinetobacter junii || 40215 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 34 || Acinetobacter lwoffii || 28090 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 35 || Acinetobacter nosocomialis || 106654 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 36 || Acinetobacter parvus || 134533 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 37 || Acinetobacter pittii || 48296 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 38 || Acinetobacter radioresistens || 40216 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 39 || Acinetobacter schindleri || 108981 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 40 || Acinetobacter seifertii || 1530123 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 41 || Acinetobacter septicus || 465797 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 42 || Acinetobacter ursingii || 108980 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 43 || Acinetobacter variabilis || 70346 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 44 || Actinobacillus equuli || 718 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 45 || Actinobacillus hominis || 719 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 46 || Actinobacillus lignieresii || 720 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 47 || Actinobacillus pleuropneumoniae || 715 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 48 || Actinobacillus suis || 716 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 49 || Actinobacillus ureae || 723 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 50 || Actinobaculum massiliae || 202789 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 51 || Actinobaculum massiliense || 202789 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 52 || Actinobaculum schaalii || 59505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 53 || Actinobaculum urinale || 190146 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 54 || Actinomadura chibensis || 392828 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 55 || Actinomadura madurae || 1993 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 56 || Actinomadura mexicana || 134959 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 57 || Actinomadura meyerae || 240840 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 58 || Actinomadura pelletieri || 111805 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 59 || Actinomadura sputi || 589159 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 60 || Actinomyces bovis || 1658 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 61 || Actinomyces cardiffensis || 181487 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 62 || Actinomyces dentalis || 272548 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 63 || Actinomyces europaeus || 66228 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 64 || Actinomyces funkei || 132933 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 65 || Actinomyces georgiae || 52768 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 66 || Actinomyces gerencseriae || 52769 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 67 || Actinomyces graevenitzii || 55565 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 68 || Actinomyces hominis || 595468 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 69 || Actinomyces hongkongensis || 178339 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 70 || Actinomyces israelii || 1659 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 71 || Actinomyces johnsonii || 544581 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 72 || Actinomyces massiliensis || 461393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 73 || Schaalia meyeri(Actinomyces meyeri) || 52773 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 74 || Actinomyces naeslundii || 1655 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 75 || Winkia neuii(Actinomyces neuii) || 33007 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 76 || Actinomyces odontolyticus || 1660 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 77 || Actinomyces oricola || 206043 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 78 || Actinomyces oris || 544580 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 79 || Actinomyces radicidentis || 111015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 80 || Schaalia radingae(Actinomyces radingae) || 131110 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 81 || Actinomyces timonensis || 1288391 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 82 || Schaalia turicensis(Actinomyces turicensis) || 131111 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 83 || Actinomyces urinae || 1689268 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 84 || Actinomyces urogenitalis || 103621 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 85 || Actinomyces viscosus || 1656 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 86 || Actinotignum sanguinis || 1445614 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 87 || Actinotignum schaalii || 59505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 88 || Actinotignum urinale || 190146 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 89 || Advenella incenata || 267800 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 90 || Aerococcus christensenii || 87541 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 91 || Aerococcus sanguicola || 119206 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 92 || Aerococcus urinae || 1376 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 93 || Aerococcus viridans || 1377 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 94 || Aeromonas aquariorum || 196024 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 95 || Aeromonas caviae || 648 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 96 || Aeromonas dhakensis || 196024 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 97 || Aeromonas hydrophila || 644 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 98 || Aeromonas jandaei || 650 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 99 || Aeromonas salmonicida || 645 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 100 || Aeromonas sanarellii || 633415 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 101 || Aeromonas schubertii || 652 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 102 || Aeromonas sobria || 646 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 103 || Aeromonas taiwanensis || 633417 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 104 || Aeromonas tecta || 324617 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 105 || Aeromonas veronii || 654 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 106 || Afipia broomeae || 56946 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 107 || Afipia clevelandensis || 1034 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 108 || Afipia felis || 1035 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 109 || Aggregatibacter actinomycetemcomitans || 714 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 110 || Aggregatibacter aphrophilus || 732 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 111 || Aggregatibacter segnis || 739 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 112 || Agrobacterium tumefaciens || 358 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 113 || Alcaligenes denitrificans || 32002 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 114 || Alcaligenes faecalis || 511 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 115 || Alcaligenes odorans || 32001 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 116 || Alcaligenes piechaudii || 72556 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 117 || Alistipes finegoldii || 214856 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 118 || Alistipes indistinctus || 626932 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 119 || Alistipes onderdonkii || 328813 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 120 || Alistipes shahii || 328814 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 121 || Alkanindiges hongkongensis || 208968 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 122 || Alloiococcus otitis || 1652 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 123 || Alloprevotella rava || 671218 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 124 || Alloprevotella tannerae || 76122 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 125 || Alloscardovia omnicolens || 419015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 126 || Amycolatopsis benzoatilytica || 346045 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 127 || Amycolatopsis orientalis || 31958 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 128 || Amycolatopsis palatopharyngis || 187982 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 129 || Anaerobiospirillum succiniciproducens || 13335 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 130 || Anaerobiospirillum thomasii || 179995 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 131 || Anaerococcus degenerii || 361500 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 132 || Anaerococcus lactolyticus || 33032 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 133 || Anaerococcus murdochii || 411577 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 134 || Anaerococcus nagyae || 1755241 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 135 || Anaerococcus octavius || 54007 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 136 || Anaerococcus prevotii || 33034 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 137 || Anaerococcus vaginalis || 33037 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 138 || Anaeroglobus geminatus || 156456 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 139 || Anaerostipes caccae || 105841 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 140 || Anaplasma phagocytophilum || 948 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 141 || Anaplasma platys || 949 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 142 || Aquimonas voraii || 265719 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 143 || Arcanobacterium bernardiae || 59561 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 144 || Arcanobacterium haemolyticum || 28264 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 145 || Arcanobacterium pyogenes || 1661 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 146 || Arcobacter butzleri || 28197 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 147 || Arcobacter cryaerophilus || 28198 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 148 || Arcobacter skirrowii || 28200 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 149 || Arthrobacter albus || 98671 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 150 || Arthrobacter luteolus || 98672 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 151 || Arthrobacter scleromae || 158897 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 152 || Arthrobacter woluwensis || 156980 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 153 || Asaia bogorensis || 91915 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 154 || Asaia lannensis || 415421 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 155 || Atlantibacter hermannii || 565 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 156 || Atopobium deltae || 1393034 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 157 || Atopobium minutum || 1381 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 158 || Atopobium rimae || 1383 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 159 || Atopobium vaginae || 82135 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 160 || Aureimonas altamirensis || 370622 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 161 || Auritidibacter ignavus || 678932 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 162 || Bacillus anthracis || 1392 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 163 || Bacillus cereus || 1396 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 164 || Bacillus circulans || 1397 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 165 || Bacillus coagulans || 1398 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 166 || Bacillus cytotoxicus || 580165 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 167 || Bacillus idriensis || 324768 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 168 || Bacillus infantis || 324767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 169 || Bacillus licheniformis || 1402 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 170 || Bacillus massiliensis || 292806 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 171 || Bacillus mycoides || 1405 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 172 || Bacillus pumilus || 1408 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 173 || Bacillus sphaericus || 1421 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 174 || Bacillus subtilis || 1423 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 175 || Bacillus thuringiensis || 1428 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 176 || Bacteroides caccae || 47678 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 177 || Bacteroides coagulans || 46507 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 178 || Bacteroides denticanum || 266833 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 179 || Bacteroides distasonis || 823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 180 || Bacteroides eggerthii || 28111 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 181 || Bacteroides faecis || 674529 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 182 || Bacteroides fluxus || 626930 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 183 || Bacteroides forsythus || 28112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 184 || Bacteroides fragilis || 817 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 185 || Bacteroides galacturonicus || 384639 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 186 || Bacteroides gracilis || 824 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 187 || Bacteroides heparinolyticus || 28113 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 188 || Bacteroides massiliensis || 204516 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 189 || Bacteroides merdae || 46503 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 190 || Bacteroides nordii || 291645 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 191 || Bacteroides ovatus || 28116 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 192 || Bacteroides pectinophilus || 384638 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 193 || Bacteroides pyogenes || 310300 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 194 || Bacteroides salyersiae || 291644 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 195 || Bacteroides splanchnicus || 28118 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 196 || Bacteroides stercoris || 46506 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 197 || Bacteroides thetaiotaomicron || 818 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 198 || Bacteroides uniformis || 820 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 199 || Bacteroides ureolyticus || 827 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 200 || Phocaeicola vulgatus(Bacteroides vulgatus) || 821 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 201 || Bacteroides zoogleoformans || 28119 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 202 || Balneatrix alpica || 75684 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 203 || Bartonella alsatica || 52764 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 204 || Bartonella ancashensis || 1318743 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 205 || Bartonella bacilliformis || 774 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 206 || Bartonella elizabethae || 807 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 207 || Bartonella grahamii || 33045 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 208 || Bartonella henselae || 38323 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 209 || Bartonella koehlerae || 92181 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 210 || Bartonella mayotimonensis || 572280 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 211 || Bartonella melophagi || 291176 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 212 || Bartonella quintana || 803 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 213 || Bartonella tamiae || 373638 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 214 || Bartonella vinsonii || 33047 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 215 || Candidatus Bartonella washoeensis&amp;lt;br&amp;gt;(Bartonella washoensis) || 186739 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 216 || Bergeyella cardium || 1585976 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 217 || Bergeyella zoohelcum || 1015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 218 || Bifidobacterium denticolens || 78258 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 219 || Bifidobacterium dentium || 1689 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 220 || Bifidobacterium inopinatum || 78259 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 221 || Bifidobacterium scardovii || 158787 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 222 || Bilophila wadsworthia || 35833 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 223 || Bisgaardia hudsonensis || 109472 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 224 || Bordetella ansorpii || 288768 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 225 || Bordetella avium || 521 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 226 || Bordetella bronchialis || 463025 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 227 || Bordetella bronchiseptica || 518 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 228 || Bordetella flabilis || 463014 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 229 || Bordetella hinzii || 103855 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 230 || Bordetella holmesii || 35814 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 231 || Bordetella parapertussis || 519 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 232 || Bordetella pertussis || 520 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 233 || Bordetella petrii || 94624 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 234 || Bordetella sputigena || 1416810 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 235 || Bordetella trematum || 123899 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 236 || Borrelia americana || 478807 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 237 || Borrelia brasiliensis || 1653832 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 238 || Borrelia burgdorferi || 139 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 239 || Borrelia caucasica || 1653833 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 240 || Borrelia crocidurae || 29520 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 241 || Borrelia duttonii || 40834 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 242 || Borrelia hermsii || 140 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 243 || Borrelia hispanica || 40835 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 244 || Borrelia latyschewii || 1027767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 245 || Borrelia lonestari || 38876 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 246 || Borrelia mayonii || 1674146 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 247 || Borrelia mazzottii || 1653837 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 248 || Borrelia miyamotoi || 47466 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 249 || Borrelia parkeri || 141 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 250 || Borrelia persica || 44448 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 251 || Borrelia recurrentis || 44449 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 252 || Borrelia spielmanii || 88916 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 253 || Borrelia turicatae || 142 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 254 || Borrelia venezuelensis || 1653839 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 255 || Brachybacterium paraconglomeratum || 173362 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 256 || Brachyspira aalborgi || 29522 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 257 || Brachyspira pilosicoli || 52584 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 258 || Branchiibius cervicis || 908252 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 259 || Brevibacillus agri || 51101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 260 || Brevibacillus brevis || 1393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 261 || Brevibacillus centrosporus || 54910 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 262 || Brevibacterium casei || 33889 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 263 || Brevibacterium iodinum || 31943 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 264 || Brevibacterium luteolum || 199591 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 265 || Brevibacterium lutescens || 199591 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 266 || Brevibacterium massiliense || 479117 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 267 || Brevibacterium otitidis || 53364 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 268 || Brevibacterium paucivorans || 170994 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 269 || Brevibacterium sanguinis || 232444 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 270 || Brevundimonas diminuta || 293 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 271 || Brevundimonas vancanneytii || 1325724 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 272 || Brevundimonas vesicularis || 41276 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 273 || Brucella abortus || 235 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 274 || Brucella canis || 36855 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 275 || Brucella inopinata || 1218315 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 276 || Brucella melitensis || 29459 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 277 || Brucella neotomae || 29460 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 278 || Budvicia aquatica || 82979 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 279 || Bulleidia extructa || 118748 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 280 || Burkholderia ambifaria || 152480 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 281 || Burkholderia anthina || 179879 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 282 || Burkholderia arboris || 488730 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 283 || Burkholderia cenocepacia || 95486 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 284 || Burkholderia cepacia || 292 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 285 || Burkholderia contaminans || 488447 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 286 || Burkholderia diffusa || 488732 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 287 || Burkholderia dolosa || 152500 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 288 || Burkholderia fungorum || 134537 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 289 || Burkholderia gladioli || 28095 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 290 || Burkholderia glumae || 337 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 291 || Burkholderia lata || 482957 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 292 || Burkholderia latens || 488446 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 293 || Burkholderia mallei || 13373 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 294 || Burkholderia metallica || 488729 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 295 || Burkholderia multivorans || 87883 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 296 || Burkholderia oklahomensis || 342113 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 297 || Burkholderia pseudomallei || 28450 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 298 || Burkholderia pyrrocinia || 60550 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 299 || Burkholderia seminalis || 488731 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 300 || Burkholderia stabilis || 95485 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 301 || Burkholderia stagnalis || 1503054 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 302 || Burkholderia thailandensis || 57975 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 303 || Burkholderia ubonensis || 101571 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 304 || Burkholderia vietnamiensis || 60552 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 305 || Buttiauxella gaviniae || 82990 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 306 || Butyricimonas faecihominis || 1472416 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 307 || Butyricimonas virosa || 544645 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 308 || Campylobacter armoricus || 2505970 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 309 || Campylobacter butzleri || 28197 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 310 || Campylobacter coli || 195 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 311 || Campylobacter concisus || 199 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 312 || Campylobacter curvus || 200 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 313 || Campylobacter fetus || 196 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 314 || Campylobacter gracilis || 824 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 315 || Campylobacter hominis || 76517 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 316 || Campylobacter hyointestinalis || 198 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 317 || Candidatus Campylobacter infans(Campylobacter infans) || 2561898 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 318 || Campylobacter insulaenigrae || 260714 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 319 || Campylobacter jejuni || 197 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 320 || Campylobacter lanienae || 75658 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 321 || Campylobacter lari || 201 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 322 || Campylobacter mucosalis || 202 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 323 || Campylobacter rectus || 203 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 324 || Campylobacter showae || 204 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 325 || Campylobacter sputorum || 206 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 326 || Campylobacter upsaliensis || 28080 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 327 || Campylobacter ureolyticus || 827 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 328 || Campylobacter volucris || 1031542 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 329 || Canibacter oris || 1365628 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 330 || Capnocytophaga canimorsus || 28188 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 331 || Capnocytophaga cynodegmi || 28189 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 332 || Capnocytophaga gingivalis || 1017 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 333 || Capnocytophaga granulosa || 45242 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 334 || Capnocytophaga haemolytica || 45243 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 335 || Capnocytophaga leadbetteri || 327575 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 336 || Capnocytophaga ochracea || 1018 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 337 || Capnocytophaga sputigena || 1019 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 338 || Cardiobacterium hominis || 2718 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 339 || Cardiobacterium valvarum || 194702 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 340 || Catabacter hongkongensis || 270498 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 341 || Catonella morbi || 43997 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 342 || Cedecea davisae || 158484 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 343 || Cedecea lapagei || 158823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 344 || Cedecea neteri || 158822 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 345 || Cellulomonas cellulans || 1710 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 346 || Cellulomonas denverensis || 264297 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 347 || Cellulomonas hominis || 156981 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 348 || Cellulomonas turbata || 1713 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 349 || Cellulosimicrobium cellulans || 1710 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 350 || Cellulosimicrobium funkei || 264251 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 351 || Centipeda periodontii || 82203 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 352 || Chitinophaga terrae || 408074 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 353 || Chitinophaga vietnamensis || 2593957 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 354 || Chlamydia abortus || 83555 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 355 || Chlamydia caviae || 83557 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 356 || Chlamydia felis || 83556 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 357 || Chlamydia psittaci || 83554 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 358 || Chlamydia trachomatis || 813 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 359 || Chlamydophila pneumoniae || 83558 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 360 || Chlamydophila psittaci || 83554 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 361 || Chromobacterium haemolyticum || 394935 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 362 || Chromobacterium violaceum || 536 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 363 || Chryseobacterium anthropi || 520603 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 364 || Chryseobacterium balustinum || 246 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 365 || Chryseobacterium bernardetii || 1241978 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 366 || Chryseobacterium gleum || 250 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 367 || Chryseobacterium hominis || 420404 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 368 || Chryseobacterium indologenes || 253 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 369 || Chryseobacterium meningosepticum || 238 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 370 || Chryseobacterium mucoviscidosis || 1945581 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 371 || Chryseobacterium nakagawai || 1241982 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 372 || Chryseobacterium oranimense || 421058 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 373 || Chryseobacterium treverense || 631455 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 374 || Citrobacter amalonaticus || 35703 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 375 || Citrobacter braakii || 57706 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 376 || Citrobacter farmeri || 67824 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 377 || Citrobacter freundii || 546 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 378 || Citrobacter koseri || 545 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 379 || Citrobacter pasteurii || 1563222 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 380 || Citrobacter rodentium || 67825 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 381 || Citrobacter sedlakii || 67826 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 382 || Citrobacter werkmanii || 67827 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 383 || Citrobacter youngae || 133448 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 384 || Clostridioides difficile || 1496 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 385 || Clostridium aldenense || 358742 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 386 || Clostridium amygdalinum || 253257 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 387 || Clostridium baratii || 1561 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 388 || Clostridium bifermentans || 1490 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 389 || Clostridium bolteae || 208479 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 390 || Clostridium botulinum || 1491 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 391 || Clostridium butyricum || 1492 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 392 || Clostridium cadaveris || 1529 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 393 || Clostridium carnis || 1530 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 394 || Clostridium celatum || 36834 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 395 || Clostridium chauvoei || 46867 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 396 || Clostridium citroniae || 358743 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 397 || Clostridium combesii || 39481 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 398 || Clostridium fallax || 1533 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 399 || Clostridium hydrogeniformans || 349933 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 400 || Clostridium indolis || 69825 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 401 || Clostridium innocuum || 1522 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 402 || Clostridium intestinale || 36845 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 403 || Clostridium lavalense || 460384 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 404 || Clostridium neonatale || 137838 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 405 || Clostridium novyi || 1542 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 406 || Clostridium perfringens || 1502 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 407 || Thomasclavelia ramosa(Clostridium ramosum) || 1547 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 408 || Clostridium septicum || 1504 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 409 || Paraclostridium sordellii(Clostridium sordellii) || 1505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 410 || Clostridium sphenoides || 29370 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 411 || Clostridium sporogenes || 1509 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 412 || Clostridium tertium || 1559 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 413 || Clostridium tetani || 1513 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 414 || Clostridium ventriculi || 1267 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 415 || Collinsella aerofaciens || 74426 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 416 || Collinsella vaginalis || 1870987 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 417 || Comamonas kerstersii || 225992 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 418 || Comamonas testosteroni || 285 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 419 || Coprobacillus catenaformis || 100884 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 420 || Corynebacterium accolens || 38284 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 421 || Corynebacterium afermentans || 38286 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 422 || Corynebacterium amycolatum || 43765 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 423 || Corynebacterium appendicis || 163202 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 424 || Corynebacterium aquatimens || 1190508 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 425 || Corynebacterium argentoratense || 42817 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 426 || Corynebacterium aurimucosum || 169292 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 427 || Corynebacterium auris || 44750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 428 || Corynebacterium auriscanis || 99807 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 429 || Corynebacterium belfantii || 2014537 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 430 || Corynebacterium bovis || 36808 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 431 || Corynebacterium canis || 679663 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 432 || Corynebacterium confusum || 71254 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 433 || Corynebacterium coyleae || 53374 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 434 || Corynebacterium dentalis || 2014528 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 435 || Corynebacterium diphtheriae || 1717 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 436 || Corynebacterium durum || 61592 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 437 || Corynebacterium falsenii || 108486 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 438 || Corynebacterium fournieri || 1852390 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 439 || Corynebacterium freiburgense || 556548 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 440 || Corynebacterium freneyi || 134034 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 441 || Corynebacterium glucuronolyticum || 39791 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 442 || Corynebacterium gottingense || 2041036 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 443 || Corynebacterium hansenii || 394964 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 444 || Corynebacterium imitans || 156978 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 445 || Corynebacterium jeikeium || 38289 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 446 || Corynebacterium kroppenstedtii || 161879 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 447 || Corynebacterium kutscheri || 35755 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 448 || Corynebacterium lipophiloflavum || 161889 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 449 || Corynebacterium lowii || 1544413 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 450 || Corynebacterium macginleyi || 38290 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 451 || Corynebacterium massiliense || 441501 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 452 || Corynebacterium minutissimum || 38301 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 453 || Corynebacterium mucifaciens || 57171 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 454 || Corynebacterium nigricans || 169292 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 455 || Corynebacterium oculi || 1544416 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 456 || Corynebacterium pilbarense || 1288393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 457 || Corynebacterium propinquum || 43769 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 458 || Corynebacterium pseudodiphthericum || 37637 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 459 || Corynebacterium pseudotuberculosis || 1719 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 460 || Corynebacterium pyruviciproducens || 598660 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 461 || Corynebacterium resistens || 258224 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 462 || Corynebacterium riegelii || 156976 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 463 || Corynebacterium rouxii || 2719119 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 464 || Corynebacterium seminale || 39791 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 465 || Corynebacterium simulans || 146827 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 466 || Corynebacterium sputi || 489915 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 467 || Corynebacterium striatum || 43770 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 468 || Corynebacterium sundsvallense || 161902 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 469 || Corynebacterium timonense || 441500 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 470 || Corynebacterium tuberculostearicum || 38304 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 471 || Corynebacterium tuscaniae || 302449 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 472 || Corynebacterium ulcerans || 65058 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 473 || Corynebacterium urealyticum || 43771 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 474 || Corynebacterium ureicelerivorans || 401472 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 475 || Corynebacterium xerosis || 1725 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 476 || Coxiella burnetii || 777 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 477 || Cronobacter malonaticus || 413503 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 478 || Cronobacter sakazakii || 28141 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 479 || Cronobacter turicensis || 413502 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 480 || Cruoricaptor ignavus || 1118202 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 481 || Cryptobacterium curtum || 84163 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 482 || Cupriavidus gilardii || 82541 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 483 || Cupriavidus metallidurans || 119219 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 484 || Cupriavidus pauculus || 82633 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 485 || Curtobacterium flaccumfaciens || 2035 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 486 || Cutibacterium acnes || 1747 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 487 || Cutibacterium avidum || 33010 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 488 || Cutibacterium modestum || 2559073 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 489 || Delftia acidovorans || 80866 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 490 || Delftia lacustris || 558537 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 491 || Delftia tsuruhatensis || 180282 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 492 || Dermabacter hominis || 36740 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 493 || Dermabacter jinjuensis || 1667168 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 494 || Dermacoccus barathri || 322601 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 495 || Dermatophilus congolensis || 1863 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 496 || Desmospora activa || 500615 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 497 || Desulfomicrobium orale || 132132 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 498 || Desulfovibrio desulfuricans || 876 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 499 || Desulfovibrio legallii || 571438 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 500 || Desulfovibrio vulgaris || 881 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 501 || Dialister invisus || 218538 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 502 || Dialister micraerophilus || 309120 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 503 || Dialister pneumosintes || 39950 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 504 || Dialister propionicifaciens || 308994 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 505 || Dichelobacter nodosus || 870 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 506 || Dietzia aurantiaca || 983873 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 507 || Dietzia cinnamea || 321318 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 508 || Dietzia maris || 37915 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 509 || Dietzia papillomatosis || 282305 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 510 || Diplorickettsia massiliensis || 676517 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 511 || Dokdonella koreensis || 323415 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 512 || Dolosigranulum pigrum || 29394 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 513 || Dyella japonica || 231455 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 514 || Dysgonomonas capnocytophagoides || 45254 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 515 || Dysgonomonas gadei || 156974 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 516 || Dysgonomonas hofstadii || 637886 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 517 || Dysgonomonas mossii || 163665 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 518 || Edwardsiella hoshinae || 93378 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 519 || Edwardsiella tarda || 636 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 520 || Effusibacillus consociatus || 1117041 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 521 || Eggerthella lenta || 84112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 522 || Eggerthella sinensis || 242230 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 523 || Eggerthia catenaformis || 31973 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 524 || Ehrlichia canis || 944 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 525 || Ehrlichia chaffeensis || 945 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 526 || Ehrlichia equi || 948 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 527 || Ehrlichia ewingii || 947 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 528 || Anaplasma phagocytophilum&amp;lt;br&amp;gt;(Ehrlichia phagocytophila) || 948 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 529 || Ehrlichia sennetsu || 951 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 530 || Eikenella corrodens || 539 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 531 || Eikenella exigua || 2528037 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 532 || Eikenella halliae || 1795832 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 533 || Eikenella longinqua || 1795827 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 534 || Eisenbergiella tayi || 1432052 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 535 || Elizabethkingia anophelis || 1117645 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 536 || Elizabethkingia bruuniana || 1756149 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 537 || Elizabethkingia meningoseptica || 238 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 538 || Elizabethkingia miricola || 172045 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 539 || Empedobacter brevis || 247 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 540 || Empedobacter falsenii || 343874 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 541 || Enterobacter aerogenes || 548 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 542 || Enterobacter asburiae || 61645 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 543 || Enterobacter bugandensis || 881260 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 544 || Enterobacter cancerogenus || 69218 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 545 || Enterobacter cloacae || 550 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 546 || Enterobacter hormaechei || 158836 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 547 || Enterobacter huaxiensis || 2494702 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 548 || Enterobacter kobei || 208224 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 549 || Enterobacter ludwigii || 299767 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 550 || Enterobacter quasihormaechei || 2529382 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 551 || Enterobacter sakazakii || 28141 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 552 || Enterobacter wuhouensis || 2529381 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 553 || Enterococcus avium || 33945 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 554 || Enterococcus casseliflavus || 37734 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 555 || Enterococcus cecorum || 44008 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 556 || Enterococcus durans || 53345 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 557 || Enterococcus faecalis || 1351 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 558 || Enterococcus faecium || 1352 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 559 || Enterococcus flavescens || 37734 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 560 || Enterococcus gallinarum || 1353 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 561 || Enterococcus gilvus || 160453 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 562 || Enterococcus hirae || 1354 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 563 || Enterococcus mundtii || 53346 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 564 || Enterococcus pallens || 160454 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 565 || Enterococcus raffinosus || 71452 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 566 || Erwinia persicinus || 55211 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 567 || Erysipelatoclostridium ramosum || 1547 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 568 || Erysipelothrix rhusiopathiae || 1648 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 569 || Escherichia albertii || 208962 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 570 || Escherichia coli || 562 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 571 || Escherichia fergusonii || 564 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 572 || Pseudescherichia vulneris(Escherichia vulneris) || 566 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 573 || Eubacterium brachy || 35517 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 574 || Eubacterium callanderi || 53442 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 575 || Faecalitalea cylindroides(Eubacterium cylindroides) || 39483 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 576 || Eubacterium exiguum || 84109 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 577 || Eubacterium limosum || 1736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 578 || Eubacterium minutum || 76124 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 579 || Clostridium moniliforme(Eubacterium moniliforme) || 39489 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 580 || Eubacterium multiforme || 83339 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 581 || Eubacterium nodatum || 35518 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 582 || Agathobacter rectalis(Eubacterium rectale) || 39491 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 583 || Eubacterium saphenum || 51123 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 584 || Eubacterium sulci || 143393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 585 || Paraclostridium tenue(Eubacterium tenue) || 1737 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 586 || Eubacterium timidum || 35519 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 587 || Eubacterium yurii || 39498 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 588 || Ewingella americana || 41202 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 589 || Exiguobacterium acetylicum || 41170 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 590 || Exiguobacterium aurantiacum || 33987 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 591 || Facklamia hominis || 178214 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 592 || Facklamia ignava || 137730 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 593 || Facklamia languida || 82347 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 594 || Facklamia sourekii || 87650 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 595 || Faecalicatena contorta || 39482 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 596 || Fastidiosipila sanguinis || 236753 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 597 || Fenollaria massiliensis || 938288 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 598 || Fibrobacter intestinalis || 28122 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 599 || Filifactor alocis || 143361 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 600 || Finegoldia magna || 1260 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 601 || Paenimyroides ceti(Flavobacterium ceti) || 395087 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 602 || Fluoribacter bozemanae || 447 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 603 || Fluoribacter dumoffii || 463 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 604 || Fluoribacter gormanii || 464 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 605 || Francisella hispaniensis || 622488 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 606 || Francisella opportunistica || 2016517 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 607 || Francisella philomiragia || 28110 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 608 || Francisella tularensis || 263 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 609 || Frederiksenia canicola || 123824 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 610 || Fretibacterium fastidiosum || 651822 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 611 || Fusobacterium gonidiaformans || 849 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 612 || Fusobacterium mortiferum || 850 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 613 || Fusobacterium naviforme || 77917 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 614 || Fusobacterium necrophorum || 859 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 615 || Fusobacterium nucleatum || 851 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 616 || Fusobacterium periodonticum || 860 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 617 || Fusobacterium russii || 854 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 618 || Fusobacterium ulcerans || 861 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 619 || Fusobacterium varium || 856 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 620 || Gallibacterium anatis || 750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 621 || Gardnerella vaginalis || 2702 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 622 || Gemella asaccharolytica || 502393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 623 || Gemella bergeriae || 84136 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 624 || Gemella haemolysans || 1379 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 625 || Gemella morbillorum || 29391 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 626 || Gemella parahaemolysans || 1179782 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 627 || Gemella sanguinis || 84135 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 628 || Gemella taiwanensis || 1179787 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 629 || Globicatella sanguinis || 13076 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 630 || Gordonia amarae || 36821 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 631 || Gordonia araii || 263909 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 632 || Gordonia bronchialis || 2054 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 633 || Gordonia effusa || 263908 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 634 || Gordonia hongkongensis || 1701090 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 635 || Gordonia iterans || 1004901 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 636 || Gordonia otitidis || 249058 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 637 || Gordonia polyisoprenivorans || 84595 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 638 || Gordonia rubripertincta || 36822 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 639 || Gordonia sputi || 36823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 640 || Gordonia terrae || 2055 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 641 || Gordonibacter pamelaeae || 471189 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 642 || Granulibacter bethesdensis || 364410 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 643 || Granulicatella adiacens || 46124 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 644 || Granulicatella elegans || 137732 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 645 || Haematobacter massiliensis || 195105 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 646 || Haematobacter missouriensis || 366616 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 647 || Haematomicrobium sanguinis || 479106 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 648 || Haematospirillum jordaniae || 1549855 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 649 || Haemophilus actinomycetemcomitans || 714 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 650 || Haemophilus aegyptius || 197575 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 651 || Haemophilus aphrophilus || 732 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 652 || Haemophilus ducreyi || 730 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 653 || Haemophilus haemolyticus || 726 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 654 || Haemophilus influenzae || 727 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 655 || Haemophilus massiliensis || 1461579 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 656 || Haemophilus parahaemolyticus || 735 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 657 || Haemophilus parainfluenzae || 729 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 658 || Haemophilus paraphrohaemolyticus || 736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 659 || Haemophilus pittmaniae || 249188 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 660 || Haemophilus sputorum || 1078480 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 661 || Hafnia alvei || 569 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 662 || Hafnia paralvei || 546367 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 663 || Halomonas hamiltonii || 502829 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 664 || Halomonas stevensii || 502821 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 665 || Halomonas venusta || 44935 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 666 || Hathewaya histolytica || 1498 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 667 || Hazenella coriacea || 1179467 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 668 || Helcobacillus massiliensis || 521392 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 669 || Helcococcus kunzii || 40091 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 670 || Helcococcus sueciensis || 241555 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 671 || Helicobacter bilis || 37372 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 672 || Helicobacter canadensis || 123841 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 673 || Helicobacter canis || 29419 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 674 || Helicobacter cinaedi || 213 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 675 || Helicobacter fennelliae || 215 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 676 || Helicobacter heilmannii || 35817 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 677 || Helicobacter hepaticus || 32025 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 678 || Helicobacter pullorum || 35818 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 679 || Helicobacter pylori || 210 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 680 || Helicobacter suis || 104628 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 681 || Helicobacter winghamensis || 157268 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 682 || Herbaspirillum huttiense || 863372 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 683 || Herbaspirillum seropedicae || 964 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 684 || Hungatella effluvii || 1096246 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 685 || Hungatella hathewayi || 154046 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 686 || Ignatzschineria indica || 472583 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 687 || Ignatzschineria larvae || 112009 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 688 || Ignavigranum ruoffiae || 89093 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 689 || Inquilinus limosus || 171674 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 690 || Janibacter melonis || 262209 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 691 || Jonquetella anthropi || 428712 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 692 || Kerstersia gyiorum || 206506 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 693 || Kerstersia similis || 206505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 694 || Kingella denitrificans || 502 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 695 || Kingella kingae || 504 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 696 || Kingella oralis || 505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 697 || Kingella potus || 265175 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 698 || Klebsiella aerogenes || 548 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 699 || Klebsiella granulomatis || 39824 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 700 || Klebsiella grimontii || 2058152 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 701 || Klebsiella ornithinolytica || 54291 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 702 || Klebsiella oxytoca || 571 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 703 || Klebsiella pasteurii || 2587529 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 704 || Klebsiella pneumoniae || 573 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 705 || Klebsiella quasipneumoniae || 1463165 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 706 || Klebsiella variicola || 244366 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 707 || Kluyvera ascorbata || 51288 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 708 || Kluyvera cryocrescens || 580 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 709 || Kocuria kristinae || 37923 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 710 || Kocuria marina || 223184 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 711 || Kocuria rhizophila || 72000 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 712 || Kocuria rosea || 1275 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 713 || Kocuria salsicia || 664639 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 714 || Kocuria varians || 1272 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 715 || Kosakonia cowanii || 208223 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 716 || Kosakonia quasisacchari || 2529380 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 717 || Kytococcus schroeteri || 138300 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 718 || Kytococcus sedentarius || 1276 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 719 || Lachnoanaerobaculum saburreum || 467210 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 720 || Lachnoanaerobaculum umeaense || 617123 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 721 || Lactobacillus acidophilus || 1579 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 722 || Lactobacillus delbrueckii || 1584 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 723 || Lactobacillus gasseri || 1596 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 724 || Lactobacillus jensenii || 109790 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 725 || Lactobacillus plantarum || 1590 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 726 || Lactobacillus rhamnosus || 47715 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 727 || Lactococcus garvieae || 1363 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 728 || Laribacter hongkongensis || 168471 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 729 || Lawsonella clevelandensis || 1528099 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 730 || Leclercia adecarboxylata || 83655 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 731 || Legionella anisa || 28082 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 732 || Legionella birminghamensis || 28083 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 733 || Legionella bozemanii || 447 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 734 || Legionella cardiaca || 1071983 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 735 || Legionella cherrii || 28084 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 736 || Legionella cincinnatiensis || 28085 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 737 || Legionella feeleii || 453 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 738 || Legionella gormanii || 464 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 739 || Legionella hackeliae || 449 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 740 || Legionella indianapolisensis || 1774113 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 741 || Legionella jordanis || 456 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 742 || Legionella lansingensis || 45067 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 743 || Legionella londiniensis || 45068 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 744 || Legionella longbeachae || 450 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 745 || Legionella maceachernii || 466 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 746 || Legionella nagasakiensis || 535290 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 747 || Legionella oakridgensis || 29423 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 748 || Legionella parisiensis || 45071 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 749 || Legionella pneumophila || 446 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 750 || Legionella rubrilucens || 458 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 751 || Legionella sainthelensi || 28087 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 752 || Legionella steelei || 947033 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 753 || Legionella tucsonensis || 40335 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 754 || Legionella wadsworthii || 28088 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 755 || Legionella waltersii || 66969 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 756 || Leifsonia aquatica || 144185 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 757 || Lelliottia amnigena || 61646 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 758 || Leminorella grimontii || 82981 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 759 || Leptospira borgpetersenii || 174 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 760 || Leptospira broomii || 301541 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 761 || Leptospira fainei || 48782 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 762 || Leptospira inadai || 29506 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 763 || Leptospira interrogans || 173 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 764 || Leptospira kirschneri || 29507 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 765 || Leptospira licerasiae || 447106 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 766 || Leptospira mayottensis || 1137606 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 767 || Leptospira meyeri || 29508 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 768 || Leptospira noguchii || 28182 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 769 || Leptospira santarosai || 28183 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 770 || Leptospira venezuelensis || 1958811 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 771 || Leptospira weilii || 28184 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 772 || Leptospira wolffii || 409998 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 773 || Leptotrichia amnionii || 187101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 774 || Leptotrichia buccalis || 40542 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 775 || Leptotrichia goodfellowii || 157692 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 776 || Leptotrichia hongkongensis || 554406 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 777 || Leptotrichia sanguinegens(Sneathia sanguinegens) || 40543 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 778 || Leptotrichia shahii || 157691 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 779 || Leptotrichia trevisanii || 109328 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 780 || Leptotrichia wadei || 157687 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 781 || Leuconostoc lactis || 1246 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 782 || Leuconostoc mesenteroides || 1245 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 783 || Leuconostoc pseudomesenteroides || 33968 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 784 || Listeria grayi || 1641 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 785 || Listeria innocua || 1642 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 786 || Listeria ivanovii || 1638 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 787 || Listeria monocytogenes || 1639 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 788 || Listeria seeligeri || 1640 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 789 || Listeria welshimeri || 1643 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 790 || Luteibacter anthropi || 564369 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 791 || Luteococcus peritonei || 88874 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 792 || Luteococcus sanguinis || 174038 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 793 || Lysinibacillus fusiformis || 28031 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 794 || Lysinibacillus sphaericus || 1421 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 795 || Malaciobacter mytili || 603050 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 796 || Mannheimia glucosida || 85401 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 797 || Mannheimia haemolytica || 75985 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 798 || Massilia oculi || 945844 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 799 || Massilia timonae || 47229 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 800 || Megamonas hypermegale || 158847 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 801 || Megasphaera elsdenii || 907 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 802 || Megasphaera micronuciformis || 187326 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 803 || Megasphaera vaginalis || 2045301 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 804 || Metamycoplasma hominis || 2098 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 805 || Metamycoplasma salivarium || 2124 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 806 || Methylobacterium mesophilicum || 39956 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 807 || Methylobacterium zatmanii || 29429 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 808 || Microbacterium binotii || 462710 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 809 || Microbacterium paraoxydans || 199592 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 810 || Microbacterium pyrexiae || 393867 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 811 || Microbacterium yannicii || 671622 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 812 || Micrococcus luteus || 1270 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 813 || Microvirgula aerodenitrificans || 57480 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 814 || Mobiluncus curtisii || 2051 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 815 || Mobiluncus mulieris || 2052 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 816 || Moellerella wisconsensis || 158849 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 817 || Mogibacterium diversum || 114527 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 818 || Mogibacterium neglectum || 114528 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 819 || Mogibacterium pumilum || 86332 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 820 || Mogibacterium timidum || 35519 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 821 || Mogibacterium vescum || 86333 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 822 || Moraxella atlantae || 34059 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 823 || Moraxella bovis || 476 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 824 || Moraxella canis || 90239 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 825 || Moraxella catarrhalis || 480 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 826 || Moraxella caviae || 34060 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 827 || Moraxella cuniculi || 34061 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 828 || Moraxella lacunata || 477 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 829 || Moraxella lincolnii || 90241 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 830 || Moraxella nonliquefaciens || 478 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 831 || Moraxella osloensis || 34062 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 832 || Moraxella ovis || 29433 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 833 || Morganella morganii || 582 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 834 || Moryella indoligenes || 371674 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 835 || Murdochiella asaccharolytica || 507844 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 836 || Mycobacterium abscessus || 36809 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 837 || Mycobacterium africanum || 33894 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 838 || Mycobacterium alsense || 324058 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 839 || Mycobacterium alvei || 67081 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 840 || Mycobacterium arosiense || 425468 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 841 || Mycobacterium arupense || 342002 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 842 || Mycobacterium asiaticum || 1790 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 843 || Mycobacterium aubagnense || 319707 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 844 || Mycobacterium avium || 1764 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 845 || Mycobacterium bacteremicum || 564198 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 846 || Mycobacterium basiliense || 2094119 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 847 || Mycobacterium boenickei || 146017 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 848 || Mycobacterium bohemicum || 56425 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 849 || Mycobacterium bouchedurhonense || 701041 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 850 || Mycobacterium bovis || 1765 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 851 || Mycobacterium branderi || 43348 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 852 || Mycobacterium brisbanense || 146020 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 853 || Mycobacterium canariasense || 228230 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 854 || Mycobacterium caprae || 115862 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 855 || Mycobacterium celatum || 28045 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 856 || Mycobacterium chelonae || 1774 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 857 || Mycobacterium chimaera || 222805 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 858 || Mycobacterium colombiense || 339268 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 859 || Mycobacterium conceptionense || 451644 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 860 || Mycobacterium conspicuum || 44010 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 861 || Mycobacterium cosmeticum || 258533 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 862 || Mycobacterium doricum || 126673 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 863 || Mycobacterium elephantis || 81858 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 864 || Mycobacterium europaeum || 761804 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 865 || Mycobacterium farcinogenes || 1802 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 866 || Mycobacterium flavescens || 1776 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 867 || Mycobacterium florentinum || 292462 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 868 || Mycobacterium fortuitum || 1766 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 869 || Mycobacterium fragae || 1260918 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 870 || Mycobacterium gadium || 1794 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 871 || Mycobacterium gastri || 1777 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 872 || Mycobacterium genavense || 36812 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 873 || Mycobacterium goodii || 134601 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 874 || Mycobacterium gordonae || 1778 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 875 || Mycobacterium grossiae || 1552759 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 876 || Mycobacterium haemophilum || 29311 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 877 || Mycobacterium heckeshornense || 110505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 878 || Mycobacterium heidelbergense || 53376 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 879 || Mycobacterium heraklionense || 512402 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 880 || Mycobacterium holsaticum || 152142 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 881 || Mycobacterium immunogenum || 83262 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 882 || Mycobacterium interjectum || 33895 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 883 || Mycobacterium intermedium || 28445 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 884 || Mycobacterium intracellulare || 1767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 885 || Mycobacterium iranicum || 912594 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 886 || Mycobacterium kansasii || 1768 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 887 || Mycobacterium koreense || 1069220 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 888 || Mycobacterium kubicae || 120959 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 889 || Mycobacterium kumamotonense || 354243 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 890 || Mycobacterium kyorinense || 487514 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 891 || Mycobacterium lacus || 169765 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 892 || Mycobacterium lentiflavum || 141349 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 893 || Mycobacterium leprae || 1769 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 894 || Mycobacterium lepromatosis || 480418 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 895 || Mycobacterium llatzerense || 280871 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 896 || Mycobacterium longobardum || 1108812 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 897 || Mycobacterium mageritense || 53462 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 898 || Mycobacterium malmoense || 1780 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 899 || Mycobacterium mantenii || 560555 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 900 || Mycobacterium marinum || 1781 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 901 || Mycobacterium marseillense || 701042 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 902 || Mycobacterium massiliense || 1962118 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 903 || Mycobacterium microti || 1806 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 904 || Mycobacterium monacense || 85693 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 905 || Mycobacterium mucogenicum || 56689 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 906 || Mycobacterium mungi || 1844474 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 907 || Mycobacterium nebraskense || 244292 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 908 || Mycobacterium neoaurum || 1795 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 909 || Mycobacterium nonchromogenicum || 1782 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 910 || Mycobacterium noviomagense || 459858 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 911 || Mycobacterium palustre || 153971 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 912 || Mycobacterium paraffinicum || 53378 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 913 || Mycobacterium paragordonae || 1389713 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 914 || Mycobacterium parakoreense || 1069221 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 915 || Mycobacterium parascrofulaceum || 240125 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 916 || Mycobacterium paraseoulense || 590652 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 917 || Mycobacterium parmense || 185642 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 918 || Mycobacterium peregrinum || 43304 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 919 || Mycobacterium phocaicum || 319706 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 920 || Mycobacterium pinnipedii || 194542 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 921 || Mycobacterium porcinum || 39693 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 922 || Mycobacterium poriferae || 39694 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 923 || Mycobacterium rhodesiae || 36814 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 924 || Mycobacterium riyadhense || 486698 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 925 || Mycobacterium saskatchewanense || 220927 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 926 || Mycobacterium scrofulaceum || 1783 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 927 || Mycobacterium senegalense || 1796 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 928 || Mycobacterium senuense || 386913 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 929 || Mycobacterium seoulense || 386911 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 930 || Mycobacterium septicum || 98668 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 931 || Mycobacterium setense || 431269 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 932 || Mycobacterium sherrisii || 243061 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 933 || Mycobacterium shimoidei || 29313 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 934 || Mycobacterium shinjukuense || 398694 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 935 || Mycobacterium simiae || 1784 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 936 || Mycobacterium smegmatis || 1772 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 937 || Mycobacterium szulgai || 1787 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 938 || Mycobacterium terrae || 1788 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 939 || Mycobacterium thermoresistibile || 1797 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 940 || Mycobacterium timonense || 701043 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 941 || Mycobacterium tokaiense || 39695 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 942 || Mycobacterium triplex || 47839 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 943 || Mycobacterium triviale || 1798 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 944 || Mycobacterium tuberculosis || 1773 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 945 || Mycobacterium ulcerans || 1809 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 946 || Mycobacterium wolinskyi || 59750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 947 || Mycobacterium xenopi || 1789 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 948 || Mycoplasma amphoriforme || 273136 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 949 || Mycoplasma arginini || 2094 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 950 || Mycoplasma felis || 33923 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 951 || Mycoplasma fermentans || 2115 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 952 || Mycoplasma genitalium || 2097 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 953 || Metamycoplasma hominis&amp;lt;br&amp;gt;(Mycoplasma hominis) || 2098 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 954 || Mycoplasma lipofaciens || 114884 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 955 || Mycoplasma orale || 2121 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 956 || Mycoplasma penetrans || 28227 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 957 || Mycoplasma pirum || 2122 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 958 || Mycoplasma pneumoniae || 2104 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 959 || Mycoplasma salivarium || 2124 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 960 || Mycoplasmoides genitalium || 2097 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 961 || Mycoplasmoides pneumoniae || 2104 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 962 || Mycoplasmopsis fermentans || 2115 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 963 || Myroides injenensis || 1183151 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 964 || Myroides odoratimimus || 76832 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 965 || Myroides odoratus || 256 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 966 || Myroides phaeus || 702745 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 967 || Necropsobacter rosorum || 908285 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 968 || Negativicoccus succinicivorans || 620903 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 969 || Neisseria animaloris || 326522 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 970 || Neisseria bacilliformis || 267212 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 971 || Neisseria canis || 493 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 972 || Neisseria cinerea || 483 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 973 || Neisseria dumasiana || 1931275 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 974 || Neisseria elongata || 495 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 975 || Neisseria flava || 34026 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 976 || Neisseria flavescens || 484 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 977 || Neisseria gonorrhoeae || 485 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 978 || Neisseria lactamica || 486 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 979 || Neisseria macacae || 496 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 980 || Neisseria meningitidis || 487 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 981 || Neisseria mucosa || 488 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 982 || Neisseria oralis || 1107316 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 983 || Neisseria perflava || 33053 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 984 || Neisseria shayeganii || 607712 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 985 || Neisseria sicca || 490 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 986 || Neisseria subflava || 28449 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 987 || Neisseria wadsworthii || 607711 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 988 || Neisseria weaveri || 28091 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 989 || Neisseria zoodegmatis || 326523 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 990 || Neoehrlichia mikurensis || 89586 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 991 || Ehrlichia sennetsu(Neorickettsia sennetsu) || 951 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 992 || Nocardia abscessus || 120957 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 993 || Nocardia africana || 134964 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 994 || Nocardia amikacinitolerans || 756689 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 995 || Nocardia anaemiae || 263910 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 996 || Nocardia aobensis || 257277 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 997 || Nocardia araoensis || 228600 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 998 || Nocardia arizonensis || 1141647 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 999 || Nocardia arthritidis || 228602 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1000 || Nocardia asiatica || 209252 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1001 || Nocardia asteroides || 1824 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1002 || Nocardia barduliensis || 2736643 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1003 || Nocardia beijingensis || 95162 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1004 || Nocardia blacklockiae || 480036 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1005 || Nocardia brasiliensis || 37326 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1006 || Nocardia colli || 2545717 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1007 || Nocardia concava || 257281 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1008 || Nocardia cyriacigeorgici || 135487 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1009 || Nocardia donostiensis || 1538463 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1010 || Nocardia elegans || 300029 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1011 || Nocardia exalbida || 290231 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1012 || Nocardia farcinica || 37329 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1013 || Nocardia gipuzkoensis || 2749991 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1014 || Nocardia harenae || 358707 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1015 || Nocardia higoensis || 228599 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1016 || Nocardia ignorata || 145285 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1017 || Nocardia inohanensis || 209246 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1018 || Nocardia kroppenstedtii || 341199 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1019 || Nocardia kruczakiae || 261477 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1020 || Nocardia mexicana || 279262 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1021 || Nocardia mikamii || 508464 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1022 || Nocardia neocaledoniensis || 236511 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1023 || Nocardia niigatensis || 209249 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1024 || Nocardia ninae || 356145 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1025 || Nocardia niwae || 626084 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1026 || Nocardia nova || 37330 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1027 || Nocardia otitidiscaviarum || 1823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1028 || Nocardia paucivorans || 114259 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1029 || Nocardia pneumoniae || 228601 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1030 || Nocardia pseudobrasiliensis || 45979 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1031 || Nocardia puris || 208602 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1032 || Nocardia senatus || 248552 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1033 || Nocardia shinanonensis || 1769161 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1034 || Nocardia takedensis || 259390 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1035 || Nocardia terpenica || 455432 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1036 || Nocardia testaceus || 248551 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1037 || Nocardia thailandica || 257275 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1038 || Nocardia transvalensis || 37333 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1039 || Nocardia vermiculata || 257274 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1040 || Nocardia veterana || 132249 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1041 || Nocardia vinacea || 96468 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1042 || Nocardia vulneris || 1141657 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1043 || Nocardia wallacei || 480035 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1044 || Nocardia yamanashiensis || 209247 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1045 || Nocardiopsis dassonvillei || 2014 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1046 || Oblitimonas alkaliphila || 1697053 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1047 || Ochrobactrum anthropi || 529 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1048 || Ochrobactrum haematophilum || 419474 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1049 || Ochrobactrum intermedium || 94625 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1050 || Ochrobactrum pseudogrignonense || 419475 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1051 || Ochrobactrum tritici || 94626 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1052 || Odoribacter splanchnicus || 28118 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1053 || Oerskovia turbata || 1713 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1054 || Oligella ureolytica || 90244 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1055 || Oligella urethralis || 90245 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1056 || Oribacterium asaccharolyticum || 1501332 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1057 || Oribacterium parvum || 1501329 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1058 || Oribacterium sinus || 237576 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1059 || Candidatus Orientia mediorientalis(Orientia chuto) || 911112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1060 || Orientia tsutsugamushi || 784 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1061 || Oscillibacter ruminantium || 1263547 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1062 || Paenalcaligenes hominis || 643674 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1063 || Paenibacillus alvei || 44250 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1064 || Paenibacillus amylolyticus || 1451 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1065 || Paenibacillus assamensis || 311244 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1066 || Paenibacillus cineris || 237530 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1067 || Paenibacillus glucanolyticus || 59843 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1068 || Cohnella hongkongensis(Paenibacillus hongkongensis) || 178337 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1069 || Paenibacillus konsidensis || 479474 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1070 || Paenibacillus macerans || 44252 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1071 || Paenibacillus massiliensis || 225917 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1072 || Paenibacillus polymyxa || 1406 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1073 || Paenibacillus provencensis || 441151 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1074 || Paenibacillus residui || 629724 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1075 || Paenibacillus sanguinis || 225906 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1076 || Paenibacillus sputi || 646095 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1077 || Paenibacillus thiaminolyticus || 49283 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1078 || Paenibacillus timonensis || 225915 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1079 || Paenibacillus turicensis || 160487 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1080 || Paenibacillus vulneris || 1133364 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1081 || Pandoraea apista || 93218 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1082 || Pandoraea fibrosis || 1891094 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1083 || Pandoraea pnomenusa || 93220 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1084 || Pandoraea pulmonicola || 93221 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1085 || Pandoraea sputorum || 93222 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1086 || Pantoea agglomerans || 549 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1087 || Pantoea ananatis || 553 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1088 || Pantoea brenneri || 472694 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1089 || Pantoea calida || 665913 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1090 || Pantoea conspicua || 472705 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1091 || Pantoea dispersa || 59814 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1092 || Pantoea eucrina || 472693 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1093 || Pantoea septica || 472695 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1094 || Parabacteroides chongii || 2685834 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1095 || Parabacteroides distasonis || 823 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1096 || Parabacteroides goldsteinii || 328812 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1097 || Parabacteroides gordonii || 574930 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1098 || Paraclostridium bifermentans || 1490 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1099 || Paraclostridium dentum || 2662455 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1100 || Paracoccus sanguinis || 1545044 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1101 || Paracoccus yeeii || 147645 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1102 || Paraeggerthella hongkongensis || 230658 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1103 || Parapseudoflavitalea muciniphila || 2100819 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1104 || Parvimonas micra || 33033 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1105 || Pasteurella aerogenes || 749 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1106 || Pasteurella bettyae || 752 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1107 || Pasteurella caballi || 243701 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1108 || Pasteurella canis || 753 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1109 || Pasteurella dagmatis || 754 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1110 || Pasteurella multocida || 747 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1111 || Pasteurella pneumotropica || 758 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1112 || Pasteurella stomatis || 760 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1113 || Peptococcus niger || 2741 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1114 || Peptoniphilus asaccharolyticus || 1258 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1115 || Aedoeadaptatus coxii(Peptoniphilus coxii) || 755172 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1116 || Peptoniphilus duerdenii || 507750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1117 || Peptoniphilus gorbachii || 411567 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1118 || Peptoniphilus harei || 54005 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1119 || Peptoniphilus koenoeneniae || 507751 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1120 || Peptoniphilus lacydonensis || 1673725 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1121 || Peptoniphilus nemausus || 2582829 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1122 || Peptoniphilus olsenii || 411570 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1123 || Peptoniphilus tyrrelliae || 755171 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1124 || Peptostreptococcus anaerobius || 1261 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1125 || Peptostreptococcus asaccharolyticus || 1258 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1126 || Peptostreptococcus ivorii || 54006 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1127 || Peptostreptococcus lactolyticus || 33032 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1128 || Peptostreptococcus magnus || 1260 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1129 || Peptostreptococcus prevotii || 33034 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1130 || Peptostreptococcus stomatis || 341694 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1131 || Peptostreptococcus vaginalis || 33037 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1132 || Phocaeicola abscessus || 555313 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1133 || Photobacterium damselae || 38293 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1134 || Photorhabdus asymbiotica || 291112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1135 || Plesiomonas shigelloides || 703 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1136 || Pluralibacter gergoviae || 61647 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1137 || Pontibacter altruii || 1908342 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1138 || Porphyromonas asaccharolytica || 28123 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1139 || Porphyromonas bennonis || 501496 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1140 || Porphyromonas catoniae || 41976 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1141 || Porphyromonas circumdentaria || 29524 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1142 || Porphyromonas endodontalis || 28124 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1143 || Porphyromonas gingivalis || 837 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1144 || Porphyromonas levii || 28114 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1145 || Porphyromonas macacae || 28115 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1146 || Porphyromonas somerae || 322095 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1147 || Porphyromonas uenonis || 281920 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1148 || Prescottia equi || 43767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1149 || Prevotella amnii || 419005 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1150 || Prevotella aurantiaca || 596085 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1151 || Segatella baroniae(Prevotella baroniae) || 305719 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1152 || Prevotella bergensis || 242750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1153 || Prevotella bivia || 28125 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1154 || Prevotella brunnea || 2508867 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1155 || Segatella buccae(Prevotella buccae) || 28126 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1156 || Prevotella buccalis || 28127 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1157 || Prevotella colorans || 1703337 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1158 || Prevotella corporis || 28128 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1159 || Prevotella dentalis || 52227 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1160 || Prevotella denticola || 28129 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1161 || Prevotella disiens || 28130 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1162 || Prevotella enoeca || 76123 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1163 || Prevotella fusca || 589436 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1164 || Prevotella heparinolytica || 28113 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1165 || Prevotella intermedia || 28131 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1166 || Prevotella loescheii || 840 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1167 || Prevotella maculosa || 439703 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1168 || Hoylesella marshii(Prevotella marshii) || 189722 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1169 || Prevotella massiliensis || 329988 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1170 || Prevotella melaninogenica || 28132 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1171 || Prevotella multiformis || 282402 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1172 || Hallella multisaccharivorax(Prevotella multisaccharivorax) || 310514 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1173 || Hoylesella nanceiensis(Prevotella nanceiensis) || 425941 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1174 || Prevotella nigrescens || 28133 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1175 || Hoylesella oralis(Prevotella oralis) || 28134 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1176 || Segatella oris(Prevotella oris) || 28135 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1177 || Prevotella oulora || 28136 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1178 || Prevotella pleuritidis || 407975 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1179 || Xylanibacter ruminicola(Prevotella ruminicola) || 839 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1180 || Prevotella scopos || 589437 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1181 || Hoylesella timonensis(Prevotella timonensis) || 386414 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1182 || Prevotella veroralis || 28137 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1183 || Prevotella vespertina || 2608404 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1184 || Prevotella zoogleoformans || 28119 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1185 || Propionibacterium acidifaciens || 556499 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1186 || Propionibacterium acnes || 1747 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1187 || Propionibacterium avidum || 33010 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1188 || Cutibacterium granulosum(Propionibacterium granulosum) || 33011 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1189 || Propionibacterium namnetense || 1574624 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1190 || Arachnia propionica(Propionibacterium propionicum) || 1750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1191 || Proteus faecis || 2050967 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1192 || Proteus mirabilis || 584 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1193 || Proteus penneri || 102862 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1194 || Proteus vulgaris || 585 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1195 || Providencia alcalifaciens || 126385 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1196 || Providencia heimbachae || 333962 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1197 || Providencia rettgeri || 587 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1198 || Providencia stuartii || 588 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1199 || Gulosibacter bifidus(Pseudoclavibacter bifida) || 272239 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1200 || Pseudomonas aeruginosa || 287 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1201 || Aquipseudomonas alcaligenes(Pseudomonas alcaligenes) || 43263 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1202 || Pseudomonas andersonii || 147728 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1203 || Pseudomonas asiatica || 2219225 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1204 || Pseudomonas fluorescens || 294 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1205 || Pseudomonas fulva || 47880 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1206 || Pseudomonas japonica || 256466 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1207 || Pseudomonas juntendi || 2666183 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1208 || Pseudomonas luteola || 47886 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1209 || Pseudomonas mendocina || 300 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1210 || Pseudomonas monteilii || 76759 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1211 || Pseudomonas mosselii || 78327 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1212 || Pseudomonas nosocomialis || 1056496 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1213 || Pseudomonas oryzihabitans || 47885 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1214 || Pseudomonas otitidis || 319939 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1215 || Pseudomonas pickettii || 329 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1216 || Pseudomonas poae || 200451 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1217 || Pseudomonas pseudoalcaligenes || 301 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1218 || Pseudomonas putida || 303 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1219 || Pseudomonas stutzeri || 316 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1220 || Pseudomonas yangonensis || 2579922 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1221 || Pseudonocardia autotrophica || 2074 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1222 || Pseudonocardia carboxydivorans || 415010 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1223 || Pseudonocardia oroxyli || 366584 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1224 || Pseudopropionibacterium propionicum || 1750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1225 || Pseudoramibacter alactolyticus || 113287 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1226 || Pseudoxanthomonas winnipegensis || 2480810 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1227 || Psychrobacter arenosus || 256326 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1228 || Psychrobacter faecalis || 180588 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1229 || Psychrobacter immobilis || 498 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1230 || Psychrobacter phenylpyruvicus || 29432 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1231 || Psychrobacter sanguinis || 861445 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1232 || Pyramidobacter piscolens || 638849 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1233 || Rahnella aquatilis || 34038 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1234 || Ralstonia gilardii || 82541 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1235 || Ralstonia mannitolytica || 105219 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1236 || Ralstonia pickettii || 329 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1237 || Ralstonia respiraculi || 195930 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1238 || Raoultella ornithinolytica || 54291 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1239 || Raoultella planticola || 575 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1240 || Rhizobium pusense || 648995 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1241 || Rhodococcus corynebacterioides || 53972 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1242 || Prescottella equi(Rhodococcus equi) || 43767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1243 || Rhodococcus erythropolis || 1833 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1244 || Rhodococcoides fascians(Rhodococcus fascians) || 1828 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1245 || Rhodococcus globerulus || 33008 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1246 || Rhodococcus gordoniae || 223392 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1247 || Rhodococcus rhodnii || 38312 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1248 || Rhodococcus rhodochrous || 1829 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1249 || Rickettsia aeschlimannii || 45262 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1250 || Rickettsia africae || 35788 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1251 || Rickettsia akari || 786 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1252 || Rickettsia australis || 787 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1253 || Rickettsia conorii || 781 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1254 || Rickettsia felis || 42862 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1255 || Rickettsia heilongjiangensis || 226665 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1256 || Rickettsia helvetica || 35789 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1257 || Rickettsia honei || 37816 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1258 || Rickettsia japonica || 35790 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1259 || Rickettsia massiliae || 35791 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1260 || Rickettsia monacensis || 109232 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1261 || Rickettsia sibirica subsp. mongolitimonae(Rickettsia mongolotimonae) || 45261 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1262 || Rickettsia parkeri || 35792 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1263 || Rickettsia prowazekii || 782 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1264 || Rickettsia raoultii || 369822 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1265 || Rickettsia rickettsii || 783 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1266 || Rickettsia sibirica || 35793 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1267 || Rickettsia slovaca || 35794 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1268 || Rickettsia tamurae || 334545 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1269 || Rickettsia typhi || 785 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1270 || Rickettsia xinyangensis || 0 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1271 || Robinsoniella peoriensis || 180332 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1272 || Rodentibacter pneumotropicus || 758 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1273 || Roseomonas cervicalis || 204525 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1274 || Roseomonas gilardii || 257708 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1275 || Roseomonas mucosa || 207340 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1276 || Rothia aeria || 172042 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1277 || Rothia dentocariosa || 2047 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1278 || Rothia mucilaginosa || 43675 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1279 || Ruminococcus gnavus || 33038 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1280 || Ruminococcus productus || 33035 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1281 || Saccharomonospora viridis || 1852 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1282 || Saccharopolyspora rectivirgula || 28042 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1283 || Saccharopolyspora rosea || 524884 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1284 || Saezia sanguinis || 1965230 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1285 || Salmonella bongori || 54736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1286 || Salmonella choleraesuis || 28901 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1287 || Salmonella enterica || 28901 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1288 || Salmonella enteritidis || 149539 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1289 || Salmonella typhi || 90370 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1290 || Salmonella typhimurium || 90371 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1291 || Scandinavium goeteborgense || 1851514 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1292 || Scardovia wiggsiae || 230143 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1293 || Sciscionella marina || 508770 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1294 || Sebaldella termitidis || 826 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1295 || Sedimentibacter hongkongensis || 178338 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1296 || Segniliparus rotundus || 286802 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1297 || Segniliparus rugosus || 286804 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1298 || Selenomonas artemidis || 671224 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1299 || Selenomonas dianae || 135079 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1300 || Selenomonas flueggei || 135080 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1301 || Selenomonas infelix || 135082 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1302 || Selenomonas noxia || 135083 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1303 || Selenomonas sputigena || 69823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1304 || Serratia ficaria || 61651 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1305 || Serratia fonticola || 47917 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1306 || Serratia liquefaciens || 614 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1307 || Serratia marcescens || 615 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1308 || Serratia odorifera || 618 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1309 || Serratia plymuthica || 82996 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1310 || Serratia proteamaculans || 28151 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1311 || Serratia rubidaea || 61652 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1312 || Shewanella algae || 38313 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1313 || Shewanella haliotis || 38313 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1314 || Shewanella xiamenensis || 332186 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1315 || Shigella boydii || 621 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1316 || Shigella dysenteriae || 622 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1317 || Shigella flexneri || 623 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1318 || Shigella sonnei || 624 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1319 || Shuttleworthia satelles || 177972 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1320 || Simkania negevensis || 83561 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1321 || Slackia exigua || 84109 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1322 || Sneathia amnii || 187101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1323 || Sneathia sanguinegens || 40543 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1324 || Sodalis praecaptivus || 1239307 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1325 || Solobacterium moorei || 102148 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1326 || Sphingobacterium cellulitidis || 1768011 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1327 || Sphingobacterium hotanense || 649196 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1328 || Sphingobacterium multivorum || 28454 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1329 || Sphingobacterium spiritivorum || 258 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1330 || Sphingomonas koreensis || 93064 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1331 || Sphingomonas paucimobilis || 13689 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1332 || Spiroplasma apis || 2137 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1333 || Staphylococcus argenteus || 985002 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1334 || Staphylococcus aureus || 1280 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1335 || Staphylococcus borealis || 2742203 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1336 || Staphylococcus capitis || 29388 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1337 || Staphylococcus caprae || 29380 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1338 || Staphylococcus cohnii || 29382 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1339 || Staphylococcus condimenti || 70255 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1340 || Staphylococcus cornubiensis || 1986155 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1341 || Staphylococcus delphini || 53344 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1342 || Staphylococcus epidermidis || 1282 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1343 || Staphylococcus equorum || 246432 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1344 || Staphylococcus gallinarum || 1293 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1345 || Staphylococcus haemolyticus || 1283 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1346 || Staphylococcus hominis || 1290 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1347 || Staphylococcus hyicus || 1284 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1348 || Staphylococcus intermedius || 1285 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1349 || Staphylococcus lentus || 42858 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1350 || Staphylococcus lugdunensis || 28035 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1351 || Staphylococcus massiliensis || 555791 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1352 || Staphylococcus pasteuri || 45972 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1353 || Staphylococcus pettenkoferi || 170573 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1354 || Staphylococcus pseudintermedius || 283734 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1355 || Staphylococcus pseudolugdunensis || 425474 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1356 || Staphylococcus saccharolyticus || 33028 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1357 || Staphylococcus saprophyticus || 29385 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1358 || Staphylococcus schleiferi || 1295 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1359 || Mammaliicoccus sciuri(Staphylococcus sciuri) || 1296 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1360 || Staphylococcus simulans || 1286 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1361 || Staphylococcus succinus || 61015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1362 || Staphylococcus warneri || 1292 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1363 || Staphylococcus xylosus || 1288 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1364 || Stenotrophomonas africana || 1292134 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1365 || Stenotrophomonas maltophilia || 40324 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1366 || Stomatobaculum longum || 796942 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1367 || Streptobacillus hongkongensis || 1162717 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1368 || Streptobacillus moniliformis || 34105 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1369 || Streptococcus acidominimus || 1326 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1370 || Streptococcus agalactiae || 1311 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1371 || Streptococcus alactolyticus || 29389 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1372 || Streptococcus anginosus || 1328 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1373 || Streptococcus australis || 113107 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1374 || Streptococcus bovis || 1335 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1375 || Streptococcus canis || 1329 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1376 || Streptococcus constellatus || 76860 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1377 || Streptococcus criceti || 1333 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1378 || Streptococcus cristatus || 45634 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1379 || Streptococcus devriesei || 231233 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1380 || Streptococcus dysgalactiae || 1334 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1381 || Streptococcus equi || 1336 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1382 || Streptococcus equinus || 1335 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1383 || Streptococcus gallinaceus || 165758 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1384 || Streptococcus gordonii || 1302 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1385 || Streptococcus halichoeri || 254785 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1386 || Streptococcus hongkongensis || 910939 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1387 || Streptococcus infantarius || 102684 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1388 || Streptococcus iniae || 1346 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1389 || Streptococcus intermedius || 1338 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1390 || Streptococcus lactarius || 684066 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1391 || Streptococcus massiliensis || 313439 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1392 || Streptococcus merionis || 400065 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1393 || Streptococcus minor || 229549 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1394 || Streptococcus mitis || 28037 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1395 || Streptococcus mutans || 1309 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1396 || Streptococcus oralis || 1303 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1397 || Streptococcus parasanguinis || 1318 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1398 || Streptococcus pasteurianus || 197614 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1399 || Streptococcus pluranimalium || 82348 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1400 || Streptococcus pneumoniae || 1313 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1401 || Streptococcus porcinus || 1340 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1402 || Streptococcus pseudopneumoniae || 257758 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1403 || Streptococcus pseudoporcinus || 361101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1404 || Streptococcus pyogenes || 1314 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1405 || Streptococcus salivarius || 1304 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1406 || Streptococcus sanguis || 1305 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1407 || Streptococcus sinensis || 176090 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1408 || Streptococcus sobrinus || 1310 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1409 || Streptococcus suis || 1307 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1410 || Streptococcus thoraltensis || 55085 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1411 || Streptococcus tigurinus || 1077464 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1412 || Streptococcus uberis || 1349 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1413 || Streptococcus urinalis || 149016 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1414 || Streptococcus vestibularis || 1343 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1415 || Streptomyces albus || 1888 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1416 || Streptomyces bikiniensis || 1896 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1417 || Streptomyces cacaoi || 1898 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1418 || Streptomyces griseus || 1911 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1419 || Streptomyces lanatus || 66900 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1420 || Streptomyces somaliensis || 78355 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1421 || Streptomyces thermovulgaris || 1934 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1422 || Sutterella wadsworthensis || 40545 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1423 || Suttonella indologenes || 13276 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1424 || Tannerella forsythia || 28112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1425 || Tannerella serpentiformis || 712710 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1426 || Tatlockia maceachernii || 466 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1427 || Tatlockia micdadei || 451 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1428 || Tatumella ptyseos || 82987 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1429 || Tatumella saanichensis || 480813 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1430 || Tepidimonas arfidensis || 288769 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1431 || Terrisporobacter glycolicus || 36841 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1432 || Tissierella carlieri || 689904 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1433 || Tissierella praeacuta || 43131 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1434 || Treponema amylovorum || 59892 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1435 || Treponema carateum || 0 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1436 || Treponema denticola || 158 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1437 || Treponema lecithinolyticum || 53418 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1438 || Treponema maltophilum || 51160 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1439 || Treponema medium || 58231 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1440 || Treponema pallidum || 160 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1441 || Treponema parvum || 138851 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1442 || Treponema pectinovorum || 164 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1443 || Treponema putidum || 221027 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1444 || Treponema socranskii || 53419 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1445 || Tropheryma whippelii || 2039 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1446 || Tropheryma whipplei || 2039 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1447 || Trueperella bernardiae || 59561 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1448 || Trueperella pyogenes || 1661 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1449 || Tsukamurella asaccharolytica || 2592067 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1450 || Tsukamurella conjunctivitidis || 2592068 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1451 || Tsukamurella hominis || 1970232 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1452 || Tsukamurella hongkongensis || 1671023 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1453 || Tsukamurella inchonensis || 42777 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1454 || Tsukamurella ocularis || 1970234 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1455 || Tsukamurella paurometabola || 2061 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1456 || Tsukamurella pulmonis || 47312 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1457 || Tsukamurella sinensi || 1671022 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1458 || Tsukamurella sputi || 2591848 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1459 || Tsukamurella strandjordae || 147577 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1460 || Tsukamurella tyrosinosolvens || 57704 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1461 || Turicella otitidis || 29321 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1462 || Turicibacter sanguinis || 154288 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1463 || Ureaplasma urealyticum || 2130 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1464 || Vagococcus fluvialis || 2738 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1465 || Vagococcus lutrae || 81947 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1466 || Vagococcus vulneris || 1977869 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1467 || Varibaculum cambriensis || 184870 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1468 || Veillonella atypica || 39777 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1469 || Veillonella denticariosi || 419208 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1470 || Veillonella dispar || 39778 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1471 || Veillonella montpellierensis || 187328 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1472 || Veillonella parvula || 29466 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1473 || Veillonella rogosae || 423477 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1474 || Vibrio alginolyticus || 663 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1475 || Vibrio anguillarum || 55601 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1476 || Vibrio cholerae || 666 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1477 || Vibrio cidicii || 1763883 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1478 || Vibrio cincinnatiensis || 675 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1479 || Vibrio fluvialis || 676 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1480 || Vibrio furnissii || 29494 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1481 || Vibrio harveyi || 669 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1482 || Vibrio hollisae || 673 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1483 || Vibrio injenensis || 1307414 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1484 || Vibrio metschnikovii || 28172 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1485 || Vibrio mimicus || 674 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1486 || Vibrio parahaemolyticus || 670 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1487 || Vibrio vulnificus || 672 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1488 || Waddlia chondrophila || 71667 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1489 || Wautersiella falsenii || 343874 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1490 || Weeksella massiliensi || 1461577 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1491 || Weeksella virosa || 1014 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1492 || Weeksella zoohelcum || 1015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1493 || Weissella confusa || 1583 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1494 || Williamsia deligens || 321325 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1495 || Williamsia muralis || 85044 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1496 || Williamsia serinedens || 391736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1497 || Wohlfahrtiimonas chitiniclastica || 400946 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1498 || Wolinella succinogenes || 844 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1499 || Xenophilus aerolatus || 452922 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1500 || Yersinia bercovieri || 634 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1501 || Yersinia canariae || 2607663 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1502 || Yersinia enterocolitica || 630 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1503 || Yersinia frederiksenii || 29484 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1504 || Yersinia intermedia || 631 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1505 || Yersinia kristensenii || 28152 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1506 || Yersinia mollaretii || 33060 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1507 || Yersinia pestis || 632 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1508 || Yersinia pseudotuberculosis || 633 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1509 || Yersinia rohdei || 29485 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1510 || Yersinia ruckeri || 29486 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1511 || Yokenella regensburgei || 158877 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1512 || Arcanobacteria haemolyticum || 28264 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1513 || Corynebacteria diphtheriae || 1717 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1514 || Corynebacteria striatum || 43770 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1515 || Cryptococcus neoformans || 5207 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1516 || Escherichia coli O104:H4 || 1038927 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1517 || Histoplasma capsulatum || 447093 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1518 || Mycobacteria avium || 1770 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1519 || Mycobacteria intracellulare || 1767 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1520 || Mycobacteria kansasii || 1768 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1521 || Mycobacteria tuberculosis || 1773 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1522 || Nocardia cyriacigeorgica || 135487 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1523 || Nocardia huaxiensis || 2755382 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1524 || Nocardia iowensis || 204891 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1525 || Nocardia salmonicida || 53431 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1526 || Nocardia sp. FDAARGOS_372 || 2018066 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1527 || Nocardia sp. NBC_00403 || 2975990 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1528 || Nocardia sp. NBC_00416 || 2975991 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1529 || Nocardia sp. NBC_00508 || 2975992 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1530 || Nocardia sp. NBC_00565 || 2975993 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1531 || Nocardia sp. NBC_01327 || 2903593 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1532 || Nocardia sp. NBC_01329 || 2903594 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1533 || Nocardia sp. NBC_01503 || 2975997 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1534 || Nocardia sp. NBC_01730 || 2975998 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1535 || Streptococcus sp. &#039;group B&#039; || 1319 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1536 || Streptococcus viridans || 78535 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1537 || Lactobacillus crispatus || 47770 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1538 || Achromobacter deleyi || 1353891 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1539 || Achromobacter pestifer || 1353889 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1540 || Acinetobacter sp. FDAARGOS_131 || 1876769 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1541 || Acinetobacter sp. FDAARGOS_493 || 2420300 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1542 || Acinetobacter sp. FDAARGOS_494 || 2420301 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1543 || Acinetobacter sp. FDAARGOS_495 || 2420302 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1544 || Acinetobacter sp. FDAARGOS_515 || 2420307 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1545 || Acinetobacter sp. FDAARGOS_541 || 2420312 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1546 || Acinetobacter sp. FDAARGOS_558 || 2420303 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1547 || Acinetobacter sp. FDAARGOS_559 || 2420304 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1548 || Acinetobacter sp. FDAARGOS_560 || 2420305 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1549 || Acinetobacter sp. FDAARGOS_724 || 2545797 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1550 || Aeromonas allosaccharophila || 656 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1551 || Aeromonas enteropelogenes || 29489 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1552 || Aeromonas sp. FDAARGOS 1402 || 2778051 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1553 || Aeromonas sp. FDAARGOS 1403 || 2778052 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1554 || Aeromonas sp. FDAARGOS 1404 || 2778053 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1555 || Aeromonas sp. FDAARGOS 1405 || 2778054 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1556 || Aeromonas sp. FDAARGOS 1406 || 2778055 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1557 || Aeromonas sp. FDAARGOS 1407 || 2778056 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1558 || Aeromonas sp. FDAARGOS 1408 || 2778057 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1559 || Aeromonas sp. FDAARGOS 1409 || 2778058 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1560 || Aeromonas sp. FDAARGOS 1410 || 2778059 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1561 || Aeromonas sp. FDAARGOS 1411 || 2778060 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1562 || Aeromonas sp. FDAARGOS 1414 || 2778063 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1563 || Aeromonas sp. FDAARGOS 1415 || 2778064 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1564 || Aeromonas sp. FDAARGOS 1416 || 2778065 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1565 || Aeromonas sp. FDAARGOS 1417 || 2778066 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1566 || Aeromonas sp. FDAARGOS 1418 || 2778067 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1567 || Aeromonas sp. FDAARGOS 1419 || 2778068 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1568 || Agrobacterium pusense || 648995 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1569 || Agrobacterium sp. FDAARGOS_525 || 2420311 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1570 || Alistipes senegalensis || 1288121 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1571 || Anaerococcus degeneri || 361500 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1572 || Anaerococcus obesiensis || 1287640 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1573 || Arachnia propionica || 1750 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1574 || Bacillus sp. (in: firmicutes) || 1409 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1575 || Bacillus sp. FDAARGOS_1420 || 2856338 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1576 || Bacillus sp. FDAARGOS_235 || 1839798 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1577 || Bacillus sp. FDAARGOS_527 || 2576356 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1578 || Bacillus tropicus || 2026188 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1579 || Bacteroides cellulosilyticus || 246787 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1580 || Bartonella henselae str. Houston-1 || 283166 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1581 || Bifidobacterium breve || 1685 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1582 || Blautia massiliensis (ex Durand et al. 2017) || 1737424 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1583 || Borreliella burgdorferi || 139 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1584 || Brucella anthropi || 529 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1585 || Burkholderia gladioli pv. gladioli || 32009 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1586 || Burkholderia humptydooensis || 430531 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1587 || Burkholderia plantarii || 41899 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1588 || Capnocytophaga sp. FDAARGOS_737 || 2545799 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1589 || Cedecea sp. FDAARGOS_727 || 2545798 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1590 || Chryseobacterium arthrosphaerae || 651561 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1591 || Chryseobacterium gallinarum || 1324352 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1592 || Chryseobacterium sp. FDAARGOS 1104 || 2778077 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1593 || Citrobacter europaeus || 1914243 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1594 || Citrobacter portucalensis || 1639133 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1595 || Citrobacter sp. FDAARGOS_156 || 1702170 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1596 || Clavispora lusitaniae || 36911 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1597 || Clostridium scindens || 29347 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1598 || Clostridium sp. M62/1 || 411486 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1599 || Collinsella stercoris || 445975 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1600 || Comamonas terrigena || 32013 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1601 || Coprococcus comes || 410072 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1602 || Coprococcus eutactus || 411474 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1603 || Corynebacterium kefirresidentii || 1979527 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1604 || Corynebacterium sp. FDAARGOS 1242 || 2778078 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1605 || Cryptococcus deneoformans || 214684 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1606 || Cryptococcus gattii || 37769 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1607 || Cupriavidus necator || 106590 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1608 || Dermabacter vaginalis || 1630135 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1609 || Dermacoccus nishinomiyaensis || 1274 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1610 || Enterobacter roggenkampii || 1812935 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1611 || Enterocloster bolteae || 208479 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1612 || Enterocloster clostridioformis || 1531 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1613 || Enterococcus sp. FDAARGOS_375 || 2060307 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1614 || Enterococcus sp. FDAARGOS_553 || 2420313 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1615 || Enterovirus A71 || 39054 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1616 || Enterovirus B || 138949 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1617 || Enterovirus C99 || 1295563 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1618 || Fannyhessea vaginae || 40545 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1619 || Faucicola osloensis || 34062 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1620 || Fusobacterium canifelinum || 285729 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1621 || Grimontia hollisae || 673 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1622 || Heyndrickxia coagulans || 1398 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1623 || Hoylesella buccalis || 28127 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1624 || Jonesia denitrificans || 43674 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1625 || Klebsiella michiganensis || 1134687 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1626 || Klebsiella sp. FDAARGOS_511 || 2488567 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1627 || Lachnospira eligens || 39485 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1628 || Lachnospiraceae bacterium GAM79 || 2109691 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1629 || Lacrimispora saccharolytica || 84030 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1630 || Lactococcus lactis || 1358 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1631 || Leishmania donovani || 5661 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1632 || Leuconostoc falkenbergense || 2766470 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1633 || Lomentospora prolificans || 41688 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1634 || Lysinibacillus macroides || 33935 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1635 || Macrococcoides caseolyticum || 69966 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1636 || Madurella fahalii || 1157608 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1637 || Mammaliicoccus vitulinus || 71237 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1638 || Mediterraneibacter gnavus || 33038 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1639 || Micrococcus sp. FDAARGOS_333 || 1930558 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1640 || Mycobacterium ostraviense || 2738409 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1641 || Mycobacteroides abscessus || 1185650 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1642 || Mycolicibacterium smegmatis || 1772 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1643 || Niallia circulans || 1397 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1644 || Pantoea sp. FDAARGOS_194 || 1975707 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1645 || Pantoea vagans || 470934 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1646 || Parabacteroides johnsonii || 387661 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1647 || Parabacteroides merdae || 46503 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1648 || Paraburkholderia fungorum || 134537 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1649 || Paraburkholderia ginsengisoli || 311231 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1650 || Paracoccus yeei || 147645 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1651 || Pediococcus acidilactici || 1254 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1652 || Pediococcus pentosaceus || 1255 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1653 || Peribacillus psychrosaccharolyticus || 1407 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1654 || Phocaeicola coprophilus || 387090 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1655 || Phocaeicola dorei(Bacteroides dorei) || 357276 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1656 || Pichia kudriavzevii || 4909 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1657 || Plasmodium falciparum || 36329 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1658 || Pseudomonas protegens || 380021 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1659 || Pseudomonas sp. FDAARGOS_380 || 2018067 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1660 || Pseudomonas sp. FDAARGOS_761 || 2545800 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1661 || Psychrobacter cryohalolentis || 330922 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1662 || Psychrobacter sp. FDAARGOS_221 || 1975705 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1663 || Rhodanobacter sp. FDAARGOS 1247 || 2778082 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1664 || Roseburia inulinivorans || 622312 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1665 || Roseobacter denitrificans || 2434 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1666 || Rothia kristinae || 37923 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1667 || Ruminococcus albus 8 || 246199 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1668 || Salmonella enterica subsp. enterica serovar Bredeney || 134047 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1669 || Salmonella enterica subsp. enterica serovar Hadar || 149385 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1670 || Salmonella enterica subsp. enterica serovar Heidelberg || 611 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1671 || Salmonella enterica subsp. enterica serovar Ohio || 117541 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1672 || Salmonella enterica subsp. enterica serovar Typhimurium || 90371 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1673 || Salmonella enterica subsp. enterica serovar Typhimurium var. 5- || 1620419 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1674 || Schaalia odontolytica || 1660 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1675 || Segatella copri || 537011 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1676 || Serratia sp. FDAARGOS_506 || 2420306 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1677 || Serratia ureilytica || 300181 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1678 || Severe acute respiratory syndrome coronavirus 2 || 2697049 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1679 || Shewanella putrefaciens || 24 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1680 || Shewanella sp. FDAARGOS_354 || 1930557 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1681 || Simplexvirus humanalpha1 || 10298 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1682 || Staphylococcus auricularis || 29379 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1683 || Staphylococcus carnosus || 1281 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1684 || Staphylococcus felis || 46127 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1685 || Staphylococcus sp. FDAARGOS_39 || 2201033 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1686 || Streptococcus gallolyticus || 315405 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1687 || Streptococcus lutetiensis || 150055 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1688 || Streptococcus sanguinis || 1305 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1689 || Streptococcus sp. FDAARGOS_146 || 1702171 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1690 || Streptococcus sp. FDAARGOS_192 || 1839799 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1691 || Streptococcus sp. FDAARGOS_256 || 1975706 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1692 || Streptococcus sp. FDAARGOS_520 || 2420308 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1693 || Streptococcus sp. FDAARGOS_521 || 2420309 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1694 || Streptococcus sp. FDAARGOS_522 || 2420310 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1695 || Streptococcus thermophilus || 322159 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1696 || Streptomyces californicus || 67351 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1697 || Stutzerimonas balearica || 74829 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1698 || Stutzerimonas degradans || 2968968 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1699 || Stutzerimonas frequens || 2968969 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1700 || Stutzerimonas stutzeri || 316 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1701 || Talaromyces marneffei || 37727 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1702 || Thomasclavelia ramosa || 1547 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1703 || Vibrio diabolicus || 50719 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1704 || Weissella paramesenteroides || 1249 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1705 || Yersinia sp. FDAARGOS_228 || 1839800 ||  || FDA-ARGOS&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Viral Pathogens ==&lt;br /&gt;
&amp;lt;div style=&amp;quot;height: 500px; overflow-y: auto;&amp;quot;&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
! # !! Organism Name !! NCBI_taxid !! Source_PMID !! Source_ARGOS !! Source_Uniprot&lt;br /&gt;
|-&lt;br /&gt;
| 1 || Ljunganvirus 1 (LV) (Ljungan virus 1) || 1001061 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 2 || Influenza C virus (strain C/Johannesburg/1/1966) || 100673 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 3 || Influenza A virus (strain A/Chicken/Hong Kong/220/1997 H5N1 genotype Gs/Gd) || 100834 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 4 || Cowpox virus (CPV) || 10243 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 5 || Monkeypox virus || 10244 ||  || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 6 || Vaccinia virus (strain LC16m0) (VACV) || 10246 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 7 || Vaccinia virus (strain WR 65-16) (VACV) || 10247 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 8 || Vaccinia virus (strain LC16m8) (VACV) || 10248 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 9 || Vaccinia virus (strain Copenhagen) (VACV) || 10249 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 10 || Vaccinia virus (strain Dairen I) (VACV) || 10250 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 11 || Vaccinia virus (strain IHD-J) (VACV) || 10251 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 12 || Vaccinia virus (strain Lister) (VACV) || 10252 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 13 || Vaccinia virus (strain Tian Tan) (VACV) || 10253 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 14 || Variola virus || 10255 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 15 || Orf virus (ORFV) || 10258 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 16 || Orf virus (strain NZ2) (OV NZ-2) || 10259 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 17 || Molluscum contagiosum virus subtype 1 (MOCV) (MCVI) || 10280 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 18 || Molluscum contagiosum virus subtype 2 (MOCV) (MCVII) || 10281 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 19 || Human herpesvirus 1 (HHV-1) (Human herpes simplex virus 1) || 10298 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 20 || Human herpesvirus 1 (strain 17) (HHV-1) (Human herpes simplex virus 1) || 10299 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 21 || Human herpesvirus 1 (strain A44) (HHV-1) (Human herpes simplex virus 1) || 10300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 22 || Human herpesvirus 1 (strain Angelotti) (HHV-1) (Human herpes simplex virus 1) || 10301 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 23 || Human herpesvirus 1 (strain CL101) (HHV-1) (Human herpes simplex virus 1) || 10302 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 24 || Human herpesvirus 1 (strain HFEM) (HHV-1) (Human herpes simplex virus 1) || 10303 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 25 || Human herpesvirus 1 (strain F) (HHV-1) (Human herpes simplex virus 1) || 10304 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 26 || Human herpesvirus 1 (strain HZT) (HHV-1) (Human herpes simplex virus 1) || 10305 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 27 || Human herpesvirus 1 (strain KOS) (HHV-1) (Human herpes simplex virus 1) || 10306 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 28 || Human herpesvirus 1 (strain MP) (HHV-1) (Human herpes simplex virus 1) || 10307 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 29 || Human herpesvirus 1 (strain Patton) (HHV-1) (Human herpes simplex virus 1) || 10308 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 30 || Human herpesvirus 1 (strain SC16) (HHV-1) (Human herpes simplex virus 1) || 10309 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 31 || Human herpesvirus 2 (HHV-2) (Human herpes simplex virus 2) || 10310 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 32 || Human herpesvirus 2 (strain 186) (HHV-2) (Human herpes simplex virus 2) || 10312 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 33 || Human herpesvirus 2 (strain 333) (HHV-2) (Human herpes simplex virus 2) || 10313 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 34 || Human herpesvirus 2 (strain G) (HHV-2) (Human herpes simplex virus 2) || 10314 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 35 || Human herpesvirus 2 (strain HG52) (HHV-2) (Human herpes simplex virus 2) || 10315 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 36 || Herpes simplex virus type 2 (strain SA8) (Simian agent 8) || 10316 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 37 || Cercopithecine herpesvirus 1 (CeHV-1) (Simian herpes B virus) || 10325 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 38 || Human herpesvirus 3 (HHV-3) (Varicella-zoster virus) || 10335 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 39 || Varicella-zoster virus (strain Dumas) (HHV-3) (Human herpesvirus 3) || 10338 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 40 || Human cytomegalovirus (HHV-5) (Human herpesvirus 5) || 10359 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 41 || Human cytomegalovirus (strain AD169) (HHV-5) (Human herpesvirus 5) || 10360 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 42 || Human cytomegalovirus (strain Eisenhardt) (HHV-5) (Human herpesvirus 5) || 10362 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 43 || Human cytomegalovirus (strain Towne) (HHV-5) (Human herpesvirus 5) || 10363 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 44 || Human herpesvirus 6A (strain GS) (HHV-6 variant A) (Human B lymphotropic virus) || 10369 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 45 || Human herpesvirus 6A (strain Uganda-1102) (HHV-6 variant A) (Human B lymphotropic virus) || 10370 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 46 || Epstein-Barr virus (strain GD1) (HHV-4) (Human gammaherpesvirus 4) || 10376 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 47 || Epstein-Barr virus (strain B95-8) (HHV-4) (Human herpesvirus 4) || 10377 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 48 || Epstein-Barr virus (strain Raji) (HHV-4) (Human herpesvirus 4) || 10378 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 49 || Coxsackievirus B1 (strain Japan) || 103902 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 50 || Coxsackievirus B3 (strain Nancy) || 103903 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 51 || Coxsackievirus B3 (strain Woodruff) || 103904 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 52 || Coxsackievirus B4 (strain E2) || 103905 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 53 || Coxsackievirus B4 (strain JVB / Benschoten / New York/51) || 103906 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 54 || Coxsackievirus B5 (strain Peterborough / 1954/UK/85) || 103907 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 55 || Echovirus 1 (strain Human/Egypt/Farouk/1951) (E-1) || 103908 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 56 || Echovirus 12 (strain Travis) || 103909 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 57 || Echovirus 16 (strain Harrington) || 103910 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 58 || Human parechovirus 1 (strain Harris) (HPeV-1) (Echovirus 22) || 103911 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 59 || Echovirus 6 (strain Charles) || 103913 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 60 || Echovirus 9 (strain Barty) || 103914 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 61 || Echovirus 9 (strain Hill) || 103915 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 62 || Human herpesvirus 2 (strain B4327UR) (HHV-2) (Human herpes simplex virus 2) || 103921 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 63 || Human enterovirus 71 (strain 7423/MS/87) (EV71) (EV-71) || 103922 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 64 || Rabies virus (strain Pasteur vaccins / PV) (RABV) || 103929 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 65 || Hepatitis B virus (HBV) || 10407 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 66 || Hepatitis B virus genotype C subtype adr (strain Japan/adr4/1983) (HBV-C) || 10409 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 67 || Hepatitis B virus genotype A2 subtype adw2 (isolate Germany/991/1990) (HBV-A) || 10410 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 68 || Hepatitis B virus genotype D (isolate France/alpha1/1989) (HBV-D) || 10411 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 69 || Hepatitis B virus genotype B2 (isolate Indonesia/pIDW420/1988) (HBV-B) || 10412 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 70 || Hepatitis B virus genotype B1 subtype adw (isolate Japan/pJDW233/1988) (HBV-B) || 10413 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 71 || Hepatitis B virus genotype B/C subtype adw (isolate Okinawa/pODW282/1998) (HBV-B) || 10415 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 72 || Hepatitis B virus genotype D subtype adw (isolate United Kingdom/adyw/1979) (HBV-D) || 10419 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 73 || Hepatitis delta virus genotype II (isolate 7/18/83) (HDV) || 10421 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 74 || Hepatitis delta virus genotype I (isolate American) (HDV) || 10422 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 75 || Hepatitis delta virus genotype I (isolate Italian) (HDV) || 10423 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 76 || Hepatitis delta virus genotype I (isolate Japanese M-1) (HDV) || 10424 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 77 || Hepatitis delta virus genotype I (isolate Japanese M-2) (HDV) || 10425 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 78 || Hepatitis delta virus genotype I (isolate Nauru) (HDV) || 10426 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 79 || Hepatitis delta virus genotype II (isolate Japanese S-1) (HDV) || 10427 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 80 || Hepatitis delta virus genotype I (isolate Japanese S-2) (HDV) || 10428 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 81 || Human adenovirus C serotype 2 (HAdV-2) (Human adenovirus 2) || 10515 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 82 || Human adenovirus B serotype 7 (HAdV-7) (Human adenovirus 7) || 10519 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 83 || Human adenovirus B serotype 35 (HAdV-35) (Human adenovirus 35) || 10522 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 84 || Human adenovirus F serotype 41 (HAdV-41) (Human adenovirus 41) || 10524 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 85 || Human adenovirus D serotype 9 (HAdV-9) (Human adenovirus 9) || 10527 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 86 || Human adenovirus A serotype 18 (HAdV-18) (Human adenovirus 18) || 10528 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 87 || Human adenovirus A serotype 31 (HAdV-31) (Human adenovirus 31) || 10529 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 88 || Human adenovirus C serotype 1 (HAdV-1) (Human adenovirus 1) || 10533 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 89 || Human adenovirus C serotype 6 (HAdV-6) (Human adenovirus 6) || 10534 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 90 || Human papillomavirus 13 || 10573 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 91 || Human papillomavirus type 8 || 10579 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 92 || Human papillomavirus 11 || 10580 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 93 || Human papillomavirus type 1 (Human papillomavirus type 1a) || 10583 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 94 || Human papillomavirus type 2a || 10584 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 95 || Human papillomavirus 31 || 10585 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 96 || Human papillomavirus 33 || 10586 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 97 || Human papillomavirus 35 || 10587 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 98 || Human papillomavirus 39 || 10588 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 99 || Human papillomavirus type 41 || 10589 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 100 || Human papillomavirus 42 || 10590 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 101 || Human papillomavirus 43 || 10591 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 102 || Human papillomavirus 44 || 10592 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 103 || Human papillomavirus 45 || 10593 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 104 || Human papillomavirus 47 || 10594 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 105 || Human papillomavirus 51 || 10595 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 106 || Human papillomavirus 56 || 10596 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 107 || Human papillomavirus 58 || 10598 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 108 || Human papillomavirus type 5b || 10599 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 109 || Human papillomavirus type 6b || 10600 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 110 || Human papillomavirus type 6c || 10601 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 111 || Human papillomavirus type ME180 || 10602 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 112 || Human papillomavirus 12 || 10604 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 113 || Human papillomavirus 14 || 10605 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 114 || Human papillomavirus 15 || 10606 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 115 || Human papillomavirus 17 || 10607 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 116 || Human papillomavirus 19 || 10608 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 117 || Human papillomavirus 25 || 10609 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 118 || Human papillomavirus 30 || 10611 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 119 || Human papillomavirus 3 || 10614 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 120 || Human papillomavirus 40 || 10615 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 121 || Human papillomavirus type 49 || 10616 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 122 || Human papillomavirus 4 || 10617 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 123 || Human papillomavirus 52 || 10618 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 124 || Human papillomavirus 7 || 10620 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 125 || Human papillomavirus 9 || 10621 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 126 || BK polyomavirus (strain AS) (BKPyV) || 10631 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 127 || JC polyomavirus (JCPyV) (JCV) || 10632 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 128 || Hepatitis B virus subtype adr (HBV) || 106820 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 129 || Hepatitis B virus subtype adw (HBV) || 106821 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 130 || Influenza B virus (strain B/Ibaraki/2/1985) || 107411 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 131 || Influenza B virus (strain B/Singapore/222/1979) || 107417 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 132 || Influenza B virus (strain B/Victoria/2/1987) || 1077587 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 133 || Human parvovirus B19 (HPV B19) || 10798 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 134 || Influenza A virus (strain A/Niigata/137/1996 H3N2) || 109049 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 135 || Rotavirus B (isolate RVB/Human/China/ADRV/1982) (RV-B) (Rotavirus B (isolate adult diarrhea rotavirus)) || 10942 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 136 || Rotavirus A (isolate RVA/Human/Sweden/1076/1983/G2P2A[6]) (RV-A) || 10944 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 137 || Rotavirus A (strain RVA/Human/Indonesia/69M/1980/G8P4[10]) (RV-A) || 10947 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 138 || Rotavirus A (isolate RVA/Human/Australia/Hu5/1977/G2P[X]) (RV-A) (Rotavirus A (isolate Hu/5)) || 10948 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 139 || Rotavirus A (strain RVA/Human/Indonesia/B37/XXXX/G8P[X]) (RV-A) || 10949 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 140 || Rotavirus A (strain RVA/Human/United States/DS-1/1976/G2P1B[4]) (RV-A) (Rotavirus A (strain DS1)) || 10950 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 141 || Rotavirus A (strain RVA/Human/Venezuela/HN126/1983/G2P[X]) (RV-A) (Rotavirus A (strain HN-126)) || 10951 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 142 || Rotavirus A (strain RVA/Human/Japan/KU/1995/G1P1A[8]) (RV-A) || 10952 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 143 || Rotavirus A (strain RVA/Human/Philippines/L26/1987/G12P1B[4]) (RV-A) || 10953 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 144 || Rotavirus A (strain RVA/Human/Venezuela/M37/1982/G1P2A[6]) (RV-A) || 10954 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 145 || Rotavirus A (isolate RVA/Human/Australia/McN13/1980/G3P2A[6]) (RV-A) || 10955 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 146 || Rotavirus A (strain RVA/Human/Japan/MO/1982/G3P1A[8]) (RV-A) || 10956 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 147 || Rotavirus A (strain RVA/Human/United States/P/1974/G3P1A[8]) (RV-A) || 10957 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 148 || Rotavirus A (strain RVA/Human/Japan/S2/1980/G2P1B[4]) (RV-A) || 10959 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 149 || Rotavirus A (strain RVA/Human/United Kingdom/ST3/1975/G4P2A[6]) (RV-A) (Rotavirus A (strain St. Thomas 3)) || 10960 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 150 || Rotavirus A (isolate RVA/Human/Italy/VA70/1975/G4P1A[8]) (RV-A) || 10961 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 151 || Rotavirus A (strain RVA/Human/United States/Wa/1974/G1P1A[8]) (RV-A) || 10962 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 152 || Barmah forest virus (BFV) || 11020 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 153 || Eastern equine encephalitis virus (EEEV) (Eastern equine encephalomyelitis virus) || 11021 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 154 || Eastern equine encephalitis virus (strain va33[ten broeck]) (EEEV) (Eastern equine encephalomyelitis virus) || 11022 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 155 || O&#039;nyong-nyong virus (strain Gulu) (ONNV) || 11028 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 156 || Ross river virus (strain 213970) (RRV) || 11030 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 157 || Ross river virus (strain NB5092) (RRV) || 11031 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 158 || Ross river virus (strain T48) (RRV) || 11032 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 159 || Semliki forest virus (SFV) || 11033 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 160 || Sindbis virus (SINV) || 11034 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 161 || Venezuelan equine encephalitis virus (strain TC-83) (VEEV) || 11037 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 162 || Venezuelan equine encephalitis virus (strain Trinidad donkey) (VEEV) || 11038 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 163 || Western equine encephalitis virus (WEEV) || 11039 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 164 || Rubella virus (RUBV) || 11041 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 165 || Rubella virus (strain M33) (RUBV) || 11043 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 166 || Rubella virus (strain RA27/3 vaccine) (RUBV) || 11044 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 167 || Rubella virus (strain Therien) (RUBV) || 11045 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 168 || Dengue virus type 1 (strain Thailand/AHF 82-80/1980) (DENV-1) || 11057 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 169 || Dengue virus type 1 (strain Jamaica/CV1636/1977) (DENV-1) || 11058 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 170 || Dengue virus type 1 (strain Nauru/West Pac/1974) (DENV-1) || 11059 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 171 || Dengue virus type 2 (isolate Malaysia M2) (DENV-2) || 11062 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 172 || Dengue virus type 2 (isolate Malaysia M3) (DENV-2) || 11063 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 173 || Dengue virus type 2 (strain Jamaica/1409/1983) (DENV-2) || 11064 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 174 || Dengue virus type 2 (strain Thailand/NGS-C/1944) (DENV-2) || 11065 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 175 || Dengue virus type 2 (strain Puerto Rico/PR159-S1/1969) (DENV-2) || 11066 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 176 || Dengue virus type 2 (strain Tonga/EKB194/1974) (DENV-2) || 11067 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 177 || Dengue virus type 2 (strain Thailand/PUO-218/1980) (DENV-2) || 11068 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 178 || Japanese encephalitis virus (strain SA-14) (JEV) || 11073 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 179 || Japanese encephalitis virus (strain SA(v)) (JEV) || 11074 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 180 || Japanese encephalitis virus (strain Jaoars982) (JEV) || 11075 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 181 || Japanese encephalitis virus (strain Nakayama) (JEV) || 11076 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 182 || Kunjin virus (strain MRM61C) || 11078 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 183 || St. louis encephalitis virus (strain MS1-7) || 11081 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 184 || West Nile virus (WNV) || 11082 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 185 || Louping ill virus (LIV) || 11086 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 186 || Tick-borne encephalitis virus Far Eastern subtype (strain Sofjin) (SOFV) (Sofjin virus) || 11087 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 187 || Tick-borne encephalitis virus European subtype (strain Neudoerfl) (NEUV) (Neudoerfl virus) || 11088 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 188 || Yellow fever virus (strain 17D vaccine) (YFV) || 11090 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 189 || Hepatitis C virus genotype 1a (isolate 1) (HCV) || 11104 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 190 || Hepatitis C virus genotype 1b (isolate BK) (HCV) || 11105 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 191 || Hepatitis C virus (isolate EC10) (HCV) || 11106 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 192 || Hepatitis C virus (isolate EC1) (HCV) || 11107 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 193 || Hepatitis C virus (isolate HCT27) (HCV) || 11109 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 194 || Hepatitis C virus (isolate HCT18) (HCV) || 11110 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 195 || Hepatitis C virus (isolate HC-J2) (HCV) || 11111 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 196 || Hepatitis C virus (isolate HC-J5) (HCV) || 11112 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 197 || Hepatitis C virus genotype 2a (isolate HC-J6) (HCV) || 11113 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 198 || Hepatitis C virus (isolate HC-J7) (HCV) || 11114 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 199 || Hepatitis C virus genotype 2b (isolate HC-J8) (HCV) || 11115 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 200 || Hepatitis C virus genotype 1b (isolate Japanese) (HCV) || 11116 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 201 || Hepatitis C virus (isolate TH) (HCV) || 11117 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 202 || Human coronavirus 229E (HCoV-229E) || 11137 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 203 || Mumps virus (strain Edingburgh 2) (MuV) || 11162 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 204 || Mumps virus (strain Edingburgh 4) (MuV) || 11163 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 205 || Mumps virus (strain Edingburgh 6) (MuV) || 11164 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 206 || Mumps virus (strain Matsuyama) (MuV) || 11165 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 207 || Mumps virus (strain Belfast) (MuV) || 11166 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 208 || Mumps virus (strain Enders) (MuV) || 11167 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 209 || Mumps virus genotype A (strain Jeryl-Lynn) (MuV) || 11168 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 210 || Mumps virus (strain Kilham) (MuV) || 11169 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 211 || Mumps virus (strain Bristol 1) (MuV) || 11170 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 212 || Mumps virus genotype B (strain Miyahara vaccine) (MuV) || 11171 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 213 || Mumps virus (strain RW) (MuV) || 11172 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 214 || Mumps virus (strain SBL-1) (MuV) || 11173 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 215 || Mumps virus (strain Takahashi) (MuV) || 11174 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 216 || Mumps virus genotype B (strain Urabe vaccine AM9) (MuV) || 11175 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 217 || Parainfluenza virus 5 (strain W3) (PIV5) (Simian virus 5) || 11208 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 218 || Human parainfluenza 1 virus (strain C39) (HPIV-1) || 11210 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 219 || Human parainfluenza 1 virus (strain Washington/1957) (HPIV-1) || 11211 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 220 || Human parainfluenza 2 virus (strain Greer) (HPIV-2) || 11213 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 221 || Human parainfluenza 2 virus (strain Toshiba) (HPIV-2) || 11214 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 222 || Human parainfluenza 3 virus (strain Wash/47885/57) (HPIV-3) (Human parainfluenza 3 virus (strain NIH 47885)) || 11217 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 223 || Human parainfluenza 3 virus (strain Aus/124854/74) (HPIV-3) || 11218 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 224 || Human parainfluenza 3 virus (strain Tex/545/80) (HPIV-3) || 11219 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 225 || Human parainfluenza 3 virus (strain Tex/9305/82) (HPIV-3) || 11220 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 226 || Human parainfluenza 3 virus (strain Tex/12677/83) (HPIV-3) || 11221 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 227 || Human parainfluenza 3 virus (strain Wash/641/79) (HPIV-3) || 11222 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 228 || Human parainfluenza 3 virus (strain Wash/1511/73) (HPIV-3) || 11223 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 229 || Human parainfluenza 4a virus (strain Toshiba) (HPIV-4a) || 11225 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 230 || Human parainfluenza 4b virus (strain 68-333) (HPIV-4b) || 11227 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 231 || Measles virus (strain Edmonston) (MeV) (Subacute sclerose panencephalitis virus) || 11235 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 232 || Measles virus (strain Halle) (MeV) (Subacute sclerose panencephalitis virus) || 11236 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 233 || Measles virus (strain IP-3-Ca) (MeV) (Subacute sclerose panencephalitis virus) || 11237 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 234 || Measles virus (strain Hu2) (MeV) (Subacute sclerose panencephalitis virus) || 11238 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 235 || Measles virus (strain Yamagata-1) (MeV) (Subacute sclerose panencephalitis virus) || 11239 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 236 || Human respiratory syncytial virus || 11250 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 237 || Human respiratory syncytial virus B (strain 18537) || 11251 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 238 || Human respiratory syncytial virus A (strain rsb642) || 11252 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 239 || Human respiratory syncytial virus A (strain rsb1734) || 11253 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 240 || Human respiratory syncytial virus A (strain rsb5857) || 11254 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 241 || Human respiratory syncytial virus A (strain rsb6190) || 11255 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 242 || Human respiratory syncytial virus A (strain rsb6256) || 11256 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 243 || Human respiratory syncytial virus A (strain rsb6614) || 11257 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 244 || Human respiratory syncytial virus B (strain 8/60) || 11258 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 245 || Human respiratory syncytial virus A (strain A2) || 11259 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 246 || Human respiratory syncytial virus A (strain RSS-2) || 11261 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 247 || Chandipura virus (strain I653514) (CHPV) || 11273 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 248 || Vesicular stomatitis Indiana virus (strain Glasgow) (VSIV) || 11278 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 249 || Vesicular stomatitis Indiana virus (strain Mudd-Summers) (VSIV) || 11279 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 250 || Vesicular stomatitis New Jersey virus (strain Hazelhurst subtype Hazelhurst) (VSNJV) || 11281 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 251 || Vesicular stomatitis New Jersey virus (strain Missouri subtype Hazelhurst) (VSNJV) || 11282 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 252 || Vesicular stomatitis New Jersey virus (strain Ogden subtype Concan) (VSNJV) || 11283 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 253 || Vesicular stomatitis Indiana virus (strain Orsay) (VSIV) || 11284 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 254 || Vesicular stomatitis Indiana virus (strain San Juan) (VSIV) || 11285 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 255 || Rabies virus (strain PM1503/AVO1) (RABV) || 11293 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 256 || Rabies virus (strain CVS-11) (RABV) || 11294 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 257 || Rabies virus (strain ERA) (RABV) || 11295 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 258 || Rabies virus (strain HEP-Flury) (RABV) || 11296 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 259 || Rabies virus (strain PM) (RABV) || 11297 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 260 || Rabies virus (strain Nishigahara RCEH) (RABV) || 11298 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 261 || Rabies virus (strain SAD B19) (RABV) || 11300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 262 || Dhori virus (strain Indian/1313/61) (Dho) || 11319 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 263 || Influenza A virus (strain A/Chicken/Japan/1924 H7N7) || 11340 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 264 || Influenza A virus (strain A/Dunedin/4/1973 H3N2) || 11375 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 265 || Influenza A virus (strain A/Chicken/Weybridge H7N7) (Influenza A virus (strain A/FPV/Weybridge H7N7)) || 11384 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 266 || Influenza A virus (strain A/Equine/Cor/16/1974 H7N7) || 11397 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 267 || Influenza A virus (strain A/Equine/Tokyo/1971 H3N2) || 11418 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 268 || Influenza A virus (strain A/Victoria/5/1968 H2N2) || 11482 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 269 || Influenza A virus (strain A/Swine/Germany/2/1981 H1N1) || 11495 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 270 || Influenza B virus || 11520 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 271 || Influenza B virus (strain B/Ann Arbor/1/1986) || 11521 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 272 || Influenza B virus (strain B/Ann Arbor/1/1966 [cold-adapted]) || 11522 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 273 || Influenza B virus (strain B/Ann Arbor/1/1966 [wild-type]) || 11523 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 274 || Influenza B virus (strain B/BA/1978) || 11524 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 275 || Influenza B virus (strain B/Beijing/1/1987) || 11525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 276 || Influenza B virus (strain B/England/222/1982) || 11527 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 277 || Influenza B virus (strain B/Fukuoka/80/1981) || 11528 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 278 || Influenza B virus (strain B/GA/1986) || 11529 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 279 || Influenza B virus (strain B/GL/1954) || 11530 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 280 || Influenza B virus (strain B/HT/1984) || 11532 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 281 || Influenza B virus (strain B/ID/1986) || 11534 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 282 || Influenza B virus (strain B/Leningrad/179/1986) || 11536 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 283 || Influenza B virus (strain B/Maryland/1959) || 11537 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 284 || Influenza B virus (strain B/Memphis/6/1986) || 11538 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 285 || Influenza B virus (strain B/Nagasaki/1/1987) || 11540 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 286 || Influenza B virus (strain B/Oregon/5/1980) || 11541 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 287 || Influenza B virus (strain B/PA/1979) || 11542 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 288 || Influenza B virus (strain B/RU/1969) || 11543 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 289 || Influenza B virus (strain B/Singapore/1964) || 11545 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 290 || Influenza B virus (strain B/Victoria/3/1985) || 11547 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 291 || Influenza B virus (strain B/Victoria/1987) || 11548 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 292 || Influenza B virus (strain B/Yamagata/1/1973) || 11550 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 293 || Influenza C virus (strain C/Ann Arbor/1/1950) || 11553 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 294 || Influenza C virus (strain C/Berlin/1/1985) || 11554 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 295 || Influenza C virus (strain C/England/892/1983) || 11556 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 296 || Influenza C virus (strain C/Great lakes/1167/1954) || 11557 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 297 || Influenza C virus (strain C/JJ/1950) || 11560 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 298 || Influenza C virus (strain C/Pig/Beijing/10/1981) || 11564 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 299 || Influenza C virus (strain C/Pig/Beijing/439/1982) || 11566 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 300 || Influenza C virus (strain C/Taylor/1233/1947) || 11567 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 301 || Influenza C virus (strain C/Yamagata/10/1981) || 11568 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 302 || Bunyavirus La Crosse || 11577 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 303 || Bunyavirus La Crosse (isolate Aedes triseriatus/United States/L74/1974) || 11578 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 304 || Bunyavirus snowshoe hare || 11580 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 305 || Hantaan virus (strain Hojo) (Hojo virus) (Korean hemorrhagic fever virus) || 11583 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 306 || Punta toro phlebovirus || 11587 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 307 || Rift valley fever virus (RVFV) || 11588 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 308 || Rift valley fever virus (strain ZH-548 M12) (RVFV) || 11589 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 309 || Toscana virus (Tos) || 11590 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 310 || Uukuniemi virus (UUKV) || 11591 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 311 || Crimean-Congo hemorrhagic fever virus (isolate C68031) (CCHFV) || 11594 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 312 || Hantaan virus (strain Lee) (Lee virus) (Korean hemorrhagic fever virus) || 11601 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 313 || Hantaan virus (strain 76-118) (Korean hemorrhagic fever virus) || 11602 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 314 || Seoul virus (strain SR-11) (Sapporo rat virus) || 11610 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 315 || Lassa virus (strain GA391) (LASV) || 11621 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 316 || Lassa virus (strain Mouse/Sierra Leone/Josiah/1976) (LASV) || 11622 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 317 || Lymphocytic choriomeningitis virus (strain Armstrong) (LCMV) || 11624 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 318 || Lymphocytic choriomeningitis virus (strain Pasteur) (LCMV) || 11625 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 319 || Lymphocytic choriomeningitis virus (strain Traub) (LCMV) || 11626 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 320 || Lymphocytic choriomeningitis virus (strain WE) (LCMV) || 11627 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 321 || Simian foamy virus type 3 (strain LK3) (SFVagm) (SFV-3) || 11644 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 322 || Human immunodeficiency virus type 1 (HIV-1) || 11676 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 323 || Human immunodeficiency virus type 1 group M subtype B (isolate BH10) (HIV-1) || 11678 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 324 || Human immunodeficiency virus type 1 group M subtype B (isolate PCV12) (HIV-1) || 11679 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 325 || Human immunodeficiency virus type 1 group M subtype U (isolate Z3) (HIV-1) || 11680 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 326 || Human immunodeficiency virus type 1 group M subtype D (isolate Z84) (HIV-1) || 11681 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 327 || Human immunodeficiency virus type 1 group M subtype B (isolate BH5) (HIV-1) || 11682 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 328 || Human immunodeficiency virus type 1 group M subtype D (isolate Z2/CDC-Z34) (HIV-1) || 11683 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 329 || Human immunodeficiency virus type 1 group M subtype B (isolate BH8) (HIV-1) || 11684 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 330 || Human immunodeficiency virus type 1 group M subtype B (isolate ARV2/SF2) (HIV-1) || 11685 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 331 || Human immunodeficiency virus type 1 group M subtype B (isolate BRU/LAI) (HIV-1) || 11686 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 332 || Human immunodeficiency virus type 1 group M subtype B (isolate CDC-451) (HIV-1) || 11687 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 333 || Human immunodeficiency virus type 1 group M subtype B (isolate JRCSF) (HIV-1) || 11688 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 334 || Human immunodeficiency virus type 1 group M subtype D (isolate ELI) (HIV-1) || 11689 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 335 || Human immunodeficiency virus type 1 group M subtype B (isolate SF33) (HIV-1) || 11690 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 336 || Human immunodeficiency virus type 1 group M subtype B (isolate SF162) (HIV-1) || 11691 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 337 || Human immunodeficiency virus type 1 group M subtype A (isolate Z321) (HIV-1) || 11692 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 338 || Human immunodeficiency virus type 1 group M subtype B (isolate BRVA) (HIV-1) || 11693 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 339 || Human immunodeficiency virus type 1 group M subtype B (isolate JH32) (HIV-1) || 11694 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 340 || Human immunodeficiency virus type 1 group M subtype D (isolate NDK) (HIV-1) || 11695 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 341 || Human immunodeficiency virus type 1 group M subtype B (isolate MN) (HIV-1) || 11696 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 342 || Human immunodeficiency virus type 1 group M subtype A (isolate MAL) (HIV-1) || 11697 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 343 || Human immunodeficiency virus type 1 group M subtype B (isolate NY5) (HIV-1) || 11698 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 344 || Human immunodeficiency virus type 1 group M subtype B (isolate OYI) (HIV-1) || 11699 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 345 || Human immunodeficiency virus type 1 group M subtype B (isolate RF/HAT3) (HIV-1) || 11701 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 346 || Human immunodeficiency virus type 1 group M subtype B (isolate SC) (HIV-1) || 11702 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 347 || Human immunodeficiency virus type 1 group M subtype A (isolate U455) (HIV-1) || 11703 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 348 || Human immunodeficiency virus type 1 group M subtype B (isolate MFA) (HIV-1) || 11704 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 349 || Human immunodeficiency virus type 1 group M subtype B (isolate WMJ22) (HIV-1) || 11705 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 350 || Human immunodeficiency virus type 1 group M subtype B (isolate HXB2) (HIV-1) || 11706 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 351 || Human immunodeficiency virus type 1 group M subtype B (isolate HXB3) (HIV-1) || 11707 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 352 || Human immunodeficiency virus type 1 group M subtype D (isolate Z6) (HIV-1) || 11708 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 353 || Human immunodeficiency virus 2 || 11709 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 354 || Human immunodeficiency virus type 2 subtype A (isolate D194) (HIV-2) || 11713 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 355 || Human immunodeficiency virus type 2 subtype A (isolate BEN) (HIV-2) || 11714 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 356 || Human immunodeficiency virus type 2 subtype A (isolate CAM2) (HIV-2) || 11715 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 357 || Human immunodeficiency virus type 2 subtype B (isolate D205) (HIV-2) || 11716 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 358 || Human immunodeficiency virus type 2 subtype A (isolate Ghana-1) (HIV-2) || 11717 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 359 || Human immunodeficiency virus type 2 subtype A (isolate SBLISY) (HIV-2) || 11718 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 360 || Human immunodeficiency virus type 2 subtype A (isolate NIH-Z) (HIV-2) || 11719 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 361 || Human immunodeficiency virus type 2 subtype A (isolate ROD) (HIV-2) || 11720 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 362 || Human immunodeficiency virus type 2 subtype A (isolate ST) (HIV-2) || 11721 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 363 || Human T-cell leukemia virus 2 (HTLV-2) || 11909 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 364 || Human T-cell leukemia virus 1 (strain Japan ATK-1 subtype A) (HTLV-1) || 11926 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 365 || Human T-cell leukemia virus 1 (isolate Caribbea HS-35 subtype A) (HTLV-1) || 11927 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 366 || Human T-cell leukemia virus 1 (strain Japan MT-2 subtype A) (HTLV-1) || 11928 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 367 || Human spumaretrovirus (SFVcpz(hu)) (Human foamy virus) || 11963 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 368 || Echo 9 virus (EV-9) (Coxsackievirus A23) || 12060 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 369 || Coxsackievirus A9 (strain Griggs) || 12068 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 370 || Coxsackievirus A21 (strain Coe) || 12070 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 371 || Poliovirus type 1 (strain Mahoney) || 12081 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 372 || Poliovirus type 1 (strain Sabin) || 12082 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 373 || Poliovirus type 2 (strain Lansing) || 12084 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 374 || Poliovirus type 2 (strain W-2) || 12085 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 375 || Poliovirus type 3 (strain 23127) || 12087 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 376 || Poliovirus type 3 (strains P3/Leon/37 and P3/Leon 12A[1]B) || 12088 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 377 || Human hepatitis A virus genotype IA (isolate LCDC-1) (HHAV) (Human hepatitis A virus (isolate Human/China/LCDC-1/1984)) || 12093 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 378 || Human hepatitis A virus genotype IA (isolate CR326) (HHAV) (Human hepatitis A virus (isolate Human/Costa Rica/CR326/1960)) || 12097 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 379 || Human hepatitis A virus genotype IB (isolate HM175) (HHAV) (Human hepatitis A virus (isolate Human/Australia/HM175/1976)) || 12098 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 380 || Human hepatitis A virus genotype IA (isolate LA) (HHAV) (Human hepatitis A virus (isolate Human/Northern California/LA/1974)) || 12099 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 381 || Human hepatitis A virus genotype IB (isolate MBB) (HHAV) (Human hepatitis A virus (isolate Human/Northern Africa/MBB/1978)) || 12100 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 382 || Encephalomyocarditis virus || 12104 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 383 || Encephalomyocarditis virus (strain emc-b nondiabetogenic) || 12105 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 384 || Encephalomyocarditis virus (strain emc-d diabetogenic) || 12106 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 385 || Mengo encephalomyocarditis virus || 12107 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 386 || Human rhinovirus 2 (HRV-2) || 12130 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 387 || Human rhinovirus 14 (HRV-14) || 12131 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 388 || Human rhinovirus 89 (HRV-89) || 12132 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 389 || Human rhinovirus 1A (HRV-1A) || 12134 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 390 || Human rhinovirus 23 (HRV-23) || 12135 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 391 || Bhanja virus (BHAV) || 1213620 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 392 || Heartland virus (HTRV) || 1216928 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 393 || Human parechovirus 5 (strain CT86-6760) (HPeV-5) (Echovirus 23) || 122961 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 394 || Human parechovirus 2 (strain Williamson) (HPeV-2) (Echovirus 23) || 122962 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 395 || Non-A non-B hepatitis virus || 12440 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 396 || Human astrovirus-1 (HAstV-1) || 12456 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 397 || Hepatitis delta virus (HDV) || 12475 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 398 || Omsk hemorrhagic fever virus (OHFV) || 12542 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 399 || Seoul virus (strain 80-39) || 12557 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 400 || Middle East respiratory syndrome-related coronavirus (isolate United Kingdom/H123990006/2012) (MERS-CoV) (Betacoronavirus England 1) || 1263720 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 401 || Vaccinia virus (strain Ankara) (VACV) || 126794 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 402 || Human astrovirus-2 (HAstV-2) || 12701 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 403 || Influenza C virus (strain C/Nara/2/1985) || 127957 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 404 || Influenza C virus (strain C/Yamagata/4/1988) || 127958 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 405 || Zaire ebolavirus (strain Gabon-94) (ZEBOV) (Zaire Ebola virus) || 128947 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 406 || Sudan ebolavirus (strain Boniface-76) (SEBOV) (Sudan Ebola virus) || 128948 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 407 || Sudan ebolavirus (strain Maleo-79) (SEBOV) (Sudan Ebola virus) || 128949 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 408 || Zaire ebolavirus (strain Kikwit-95) (ZEBOV) (Zaire Ebola virus) || 128951 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 409 || Zaire ebolavirus (strain Mayinga-76) (ZEBOV) (Zaire Ebola virus) || 128952 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 410 || Tai Forest ebolavirus (strain Cote d&#039;Ivoire-94) (TAFV) (Cote d&#039;Ivoire Ebola virus) || 128999 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 411 || Zaire ebolavirus (strain Eckron-76) (ZEBOV) (Zaire Ebola virus) || 129000 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 412 || Reston ebolavirus (strain Philippines-96) (REBOV) (Reston Ebola virus) || 129003 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 413 || Reston ebolavirus (strain Siena/Philippine-92) (REBOV) (Reston Ebola virus) || 129004 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 414 || Human papillomavirus 82 || 129724 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 415 || Influenza A virus (strain A/Hong Kong/156/1997 H5N1 genotype Gs/Gd) || 130763 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 416 || Yaba-like disease virus (YLDV) || 132475 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 417 || Measles virus (strain Edmonston-Moraten vaccine) (MeV) (Subacute sclerose panencephalitis virus) || 132484 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 418 || Measles virus (strain Edmonston-Schwarz vaccine) (MeV) (Subacute sclerose panencephalitis virus) || 132487 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 419 || Influenza A virus (strain A/X-31 H3N2) || 132504 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 420 || Puumala virus (strain Bank vole/Russia/CG1820/1984) || 1337063 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 421 || Human rhinovirus C (strain C15) (HRV-C15) || 1418033 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 422 || Human picobirnavirus || 145856 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 423 || Human bocavirus 4 (HBoV4) (Human bocavirus type 4) || 1511883 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 424 || Cosavirus A (isolate Human/Pakistan/0553/-) (HCoSV-A) || 1554483 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 425 || Norovirus (isolate Human/NoV/United States/MD145-12/1987/GII) (Hu/NLV/GII/MD145-12/1987/US) || 158465 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 426 || Wesselsbron virus (WSLV) || 164416 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 427 || Influenza C virus (strain C/Miyagi/3/1993) || 165239 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 428 || Influenza C virus (strain C/Miyagi/4/1993) || 165240 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 429 || Influenza C virus (strain C/Kanagawa/1/1976) || 165246 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 430 || Influenza C virus (strain C/Miyagi/1977) || 165247 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 431 || Influenza C virus (strain C/Miyagi/1/1993) || 165248 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 432 || Influenza C virus (strain C/Miyagi/2/1993) || 165249 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 433 || Human papillomavirus type 54 || 1671798 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 434 || Hepatitis E virus (HEV) || 1678143 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 435 || Alkhumra hemorrhagic fever virus (ALKV) (Alkhurma hemorrhagic fever virus) || 172148 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 436 || Echovirus 5 (strain Noyce) || 176283 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 437 || Echovirus 30 (strain Bastianni) || 176284 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 438 || Influenza A virus (strain A/Duck/Hong Kong/2986.1/2000 H5N1 genotype C) || 176674 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 439 || Influenza A virus (strain A/Swine/New Jersey/11/1976 H1N1) || 186460 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 440 || BK polyomavirus (BKPyV) (Human polyomavirus 1) || 1891762 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 441 || Influenza A virus (strain A/Chicken/Hong Kong/YU562/2001 H5N1 genotype B) || 196426 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 442 || Influenza A virus (strain A/Silky Chicken/Hong Kong/SF189/2001 H5N1 genotype A) || 196430 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 443 || Influenza A virus (strain A/Chicken/Hong Kong/715.5/2001 H5N1 genotype E) || 196434 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 444 || West Nile virus (strain NY-99) (WNV) (West Nile virus (strain NY-1999)) || 1968826 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 445 || Andes orthohantavirus (ANDV) (Andes virus) || 1980456 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 446 || Influenza C virus (strain C/Miyagi/1/1990) || 199344 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 447 || Influenza C virus (strain C/Miyagi/5/1991) || 199345 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 448 || Influenza C virus (strain C/Miyagi/7/1991) || 199346 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 449 || Influenza C virus (strain C/Miyagi/5/1993) || 199347 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 450 || Influenza C virus (strain C/Sapporo/1971) || 199356 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 451 || Influenza C virus (strain C/Aomori/1974) || 199357 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 452 || Influenza C virus (strain C/Miyagi/2/1992) || 199360 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 453 || Influenza C virus (strain C/Yamagata/1/1988) || 203125 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 454 || Influenza C virus (strain C/California/1978) || 203224 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 455 || Influenza C virus (strain C/Hyogo/1/1983) || 203225 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 456 || Influenza C virus (strain C/Miyagi/9/1991) || 203228 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 457 || Influenza C virus (strain C/Mississippi/1980) || 203229 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 458 || Influenza C virus (strain C/Pig/Beijing/115/1981) || 203231 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 459 || Influenza C virus (strain C/Nara/1982) || 203232 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 460 || Influenza C virus (strain C/Kyoto/41/1982) || 203233 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 461 || Zika virus (isolate ZIKV/Human/French Polynesia/10087PF/2013) (ZIKV) || 2043570 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 462 || Influenza C virus (strain C/Hiroshima/246/2000) || 210752 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 463 || Influenza C virus (strain C/Hiroshima/247/2000) || 210753 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 464 || Influenza C virus (strain C/Hiroshima/248/2000) || 210754 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 465 || Influenza C virus (strain C/Hiroshima/249/2000) || 210755 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 466 || Influenza C virus (strain C/Hiroshima/250/2000) || 210756 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 467 || Influenza C virus (strain C/Hiroshima/251/2000) || 210757 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 468 || Influenza C virus (strain C/Hiroshima/290/1999) || 210759 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 469 || Influenza A virus (strain A/Puerto Rico/8/1934 H1N1) || 211044 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 470 || Influenza A virus (strain A/Texas/1/1968 H2N2) || 216887 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 471 || Junin mammarenavirus (JUNV) (Junn mammarenavirus) || 2169991 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 472 || Influenza C virus (strain C/Yamagata/1964) || 217166 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 473 || Influenza C virus (strain C/Aichi/1/1981) || 217167 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 474 || Influenza C virus (strain C/Saitama/1/2000) || 217719 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 475 || Influenza C virus (strain C/Saitama/2/2000) || 217720 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 476 || Influenza C virus (strain C/Saitama/3/2000) || 217721 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 477 || Influenza C virus (strain C/Hiroshima/252/1999) || 217722 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 478 || Influenza C virus (strain C/New Jersey/1976) || 217723 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 479 || Influenza C virus (strain C/Kansas/1/1979) || 217724 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 480 || Influenza C virus (strain C/Greece/1979) || 217725 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 481 || Influenza A virus (strain A/Equine/Sao Paulo/1/1976 H7N7) || 217828 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 482 || Influenza A virus (strain A/Equine/Switzerland/137/1972 H7N7) || 217829 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 483 || Influenza A virus (strain A/Equine/New Market/1/1977 H7N7) || 217831 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 484 || Influenza A virus (strain A/Equine/Detroit/1/1964 H7N7) || 217834 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 485 || Influenza A virus (strain A/Equine/Cambridge/1/1973 H7N7) || 217835 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 486 || Influenza A virus (strain A/Equine/C.Detroit/1/1964 H7N7) || 217836 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 487 || Influenza A virus (strain A/Equine/Cambridge/1/1963 H7N7) || 217837 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 488 || Influenza A virus (strain A/Qu/7/1970 H3N2) || 221016 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 489 || Influenza A virus (strain A/Chicken/Hong Kong/FY150/2001 H5N1 genotype D) || 222142 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 490 || Severe acute respiratory syndrome coronavirus (isolate Canada/Tor2/2003) (SARS-CoV) || 227984 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 491 || Influenza B virus (strain B/Bonn/1943) || 230285 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 492 || Influenza B virus (strain B/USSR/100/1983) || 230286 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 493 || Coxsackievirus A16 (strain Tainan/5079/98) || 231417 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 494 || Coxsackievirus B2 (strain Ohio-1) || 231473 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 495 || Coxsackievirus B6 (strain Schmitt) || 231474 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 496 || Zika virus (isolate ZIKV/Human/Cambodia/FSS13025/2010) (ZIKV) || 2316109 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 497 || Sapporo virus (isolate GII/Human/Thailand/Mc10/2000) (Hu/SaV/Mc10/2000/Thailand) || 234601 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 498 || Japanese encephalitis virus (strain M28) (JEV) || 2555554 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 499 || Human parainfluenza 2 virus (HPIV-2) || 2560525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 500 || Human papillomavirus type 94 || 260717 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 501 || Hepatitis delta virus genotype I (isolate US-2) (HDV) || 261991 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 502 || Hepatitis delta virus genotype II (isolate TW2476) (HDV) || 261992 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 503 || Hepatitis delta virus genotype III (isolate VnzD8624) (HDV) || 261993 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 504 || Hepatitis delta virus genotype III (isolate VnzD8349) (HDV) || 261994 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 505 || Hepatitis delta virus genotype III (isolate VnzD8375) (HDV) || 261995 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 506 || Hepatitis delta virus genotype III (isolate Peru-1) (HDV) || 261996 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 507 || Human herpesvirus 7 (strain RK) (HHV-7) (Human T lymphotropic virus) || 262398 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 508 || Cowpox virus (strain GRI-90 / Grishak) (CPV) || 265871 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 509 || Cowpox virus (strain Brighton Red) (CPV) || 265872 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 510 || Hepatitis delta virus genotype I (isolate HDV/Human/Central African Republic/FH27/1985) (HDV) || 2691025 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 511 || Severe acute respiratory syndrome coronavirus 2 (2019-nCoV) (SARS-CoV-2) || 2697049 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 512 || Human rhinovirus 1B (HRV-1B) || 2777147 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 513 || Human coronavirus NL63 (HCoV-NL63) || 277944 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 514 || Influenza A virus (strain A/Hong Kong/212/2003 H5N1 genotype Z+) || 279794 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 515 || Influenza A virus (strain A/Chicken/Hong Kong/96.1/2002 H5N1 genotype Y) || 279803 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 516 || Influenza C virus (strain C/Aichi/1/1999) || 282188 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 517 || Human adenovirus D serotype 15 (HAdV-15) (Human adenovirus 15) || 28276 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 518 || Human adenovirus E serotype 4 (HAdV-4) (Human adenovirus 4) || 28280 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 519 || Human adenovirus A serotype 12 (HAdV-12) (Human adenovirus 12) || 28282 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 520 || Human adenovirus F serotype 40 (HAdV-40) (Human adenovirus 40) || 28284 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 521 || Human adenovirus C serotype 5 (HAdV-5) (Human adenovirus 5) || 28285 ||  || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 522 || Sandfly fever sicilian virus (SFS) || 28292 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 523 || Human papillomavirus type 63 || 28311 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 524 || Human papillomavirus 65 || 28312 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 525 || Human T-cell leukemia virus 3 (HTLV-3) (Human T-lymphotropic virus 3) || 28332 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 526 || Influenza A virus (strain A/Chicken/Hong Kong/31.2/2002 H5N1 genotype X1) || 284169 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 527 || Influenza A virus (strain A/Chicken/Hong Kong/37.4/2002 H5N1 genotype X2) || 284172 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 528 || Influenza A virus (strain A/Chicken/Hong Kong/YU22/2002 H5N1 genotype Z) || 284177 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 529 || Influenza A virus (strain A/Chicken/Shantou/4231/2003 H5N1 genotype V) || 284184 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 530 || Influenza A virus (strain A/Guinea fowl/Hong Kong/38/2002 H5N1 genotype X0) || 284208 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 531 || Influenza A virus (strain A/Silky Chicken/Hong Kong/YU100/2002 H5N1 genotype X3) || 284214 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 532 || Influenza A virus (strain A/Teal/China/2978.1/2002 H5N1 genotype W) || 284215 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 533 || Influenza A virus (strain A/Vietnam/1203/2004 H5N1) || 284218 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 534 || Encephalomyocarditis virus (strain Rueckert) (EMCV) || 2870365 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 535 || Rotavirus B (isolate RVB/Rat/United States/IDIR/1984/G1P[X]) (RV-B) (Rotavirus B (isolate infectious diarrhea of infant rats)) || 28877 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 536 || Isfahan virus (ISFV) || 290008 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 537 || Human coronavirus HKU1 (HCoV-HKU1) || 290028 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 538 || Sapovirus (strain GII/Human/Japan/Sakai C12/2001) (SaV) (Sapporo virus) || 290314 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 539 || Human immunodeficiency virus type 1 group M subtype B (isolate Lai) (HIV-1) || 290579 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 540 || Sapporo virus (isolate GI/Human/Germany/pJG-Sap01) (Hu/Dresden/pJG-Sap01/DE) || 291175 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 541 || Influenza B virus (strain B/Paris/329/1990) || 291795 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 542 || Influenza B virus (strain B/Hong Kong/9/1989) || 291796 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 543 || Influenza B virus (strain B/Texas/1/1991) || 291799 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 544 || Influenza B virus (strain B/Texas/4/1990) || 291800 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 545 || Influenza B virus (strain B/New York/3/1990) || 291801 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 546 || Influenza B virus (strain B/Guangdong/55/1989) || 291802 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 547 || Influenza B virus (strain B/Victoria/103/1989) || 291803 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 548 || Influenza B virus (strain B/Victoria/19/1989) || 291804 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 549 || Influenza B virus (strain B/South Dakota/5/1989) || 291805 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 550 || Influenza B virus (strain B/India/3/1989) || 291806 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 551 || Human cytomegalovirus (strain Merlin) (HHV-5) (Human herpesvirus 5) || 295027 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 552 || Mumps virus genotype N (strain L-Zagreb vaccine) (MuV) || 301186 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 553 || Vaccinia virus (strain Tashkent) (VACV) || 301352 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 554 || Murray valley encephalitis virus (strain MVE-1-51) (MVEV) || 301478 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 555 || Nipah virus || 3052225 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 556 || Sabia mammarenavirus (isolate Human/Brasil/SPH114202/1990) (SABV) (Sabi mammarenavirus) || 3052299 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 557 || Pichinde mammarenavirus (PICV) (Pichind mammarenavirus) || 3052300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 558 || Chapare mammarenavirus (isolate Human/Bolivia/810419/2003) || 3052302 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 559 || Guanarito mammarenavirus (isolate Human/Venezuela/NH-95551/1990) (GTOV) || 3052307 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 560 || Mammarenavirus lassaense || 3052310 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 561 || Machupo virus (MACV) || 3052317 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 562 || Dobrava-Belgrade orthohantavirus (DOBV) (Dobrava virus) || 3052477 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 563 || Black Creek Canal orthohantavirus (BCCV) (Black Creek Canal virus) || 3052490 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 564 || Sin Nombre orthohantavirus (SNV) (Sin Nombre virus) || 3052499 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 565 || Tula orthohantavirus (TULV) (Tula virus) || 3052503 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 566 || Dugbe virus || 3052514 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 567 || Human adenovirus D serotype 15/H9 (HAdV-15/H9) (Human adenovirus 15/H9) || 308444 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 568 || Human cytomegalovirus (strain Toledo) (HHV-5) (Human herpesvirus 5) || 311339 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 569 || Hepatitis B virus genotype C subtype adr (isolate Korea/Kim/1989) (HBV-C) || 31512 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 570 || Hepatitis B virus genotype C subtype adr (isolate China/NC-1/1988) (HBV-C) || 31513 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 571 || Hepatitis B virus genotype A1 subtype adw (isolate Philippines/pFDW294/1988) (HBV-A) || 31514 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 572 || Hepatitis B virus genotype G subtype adw2 (isolate United States/sf/1990) (HBV-G) || 31515 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 573 || Epstein-Barr virus (strain Cao) (HHV-4) (Human herpesvirus 4) || 31525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 574 || Vaccinia virus (strain L-IVP) (VACV) || 31531 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 575 || Human adenovirus B serotype 16 (HAdV-16) (Human adenovirus 16) || 31544 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 576 || Human adenovirus D serotype 8 (HAdV-8) (Human adenovirus 8) || 31545 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 577 || Human papillomavirus 20 || 31547 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 578 || Human papillomavirus 21 || 31548 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 579 || Rotavirus C (isolate RVC/Human/Japan/88-220/1988) (RV-C) || 31565 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 580 || Rotavirus C (isolate RVC/Human/Brazil/Belem/1992) (RV-C) || 31566 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 581 || Rotavirus C (isolate RVC/Human/United Kingdom/Bristol/1989) (RV-C) || 31567 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 582 || Rotavirus C (isolate RVC/Human/United Kingdom/Preston/1992) (RV-C) || 31568 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 583 || Rotavirus A (strain RVA/Human/Australia/RV-5/1981/G2P1B[4]) (RV-A) (Rotavirus A (strain RV5)) || 31569 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 584 || Rotavirus A (strain RVA/Human/Australia/RV-4/1977/G1P1A[8]) (RV-A) (Rotavirus A (strain RV4)) || 31570 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 585 || Rotavirus A (strain RVA/Human/United Kingdom/A28/1987/G10P[X]) (RV-A) || 31571 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 586 || Rotavirus A (isolate RVA/Human/Japan/IGV-80-3/XXXX/GXP[X]) (RV-A) || 31574 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 587 || Human parainfluenza 1 virus (strain C35) (HPIV-1) || 31605 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 588 || Human parainfluenza 1 virus (strain CI-14/83) (HPIV-1) || 31606 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 589 || Human parainfluenza 1 virus (strain CI-5/73) (HPIV-1) || 31607 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 590 || Parainfluenza virus 5 (isolate Canine/CPI+) (PIV5) (Simian virus 5) || 31608 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 591 || Parainfluenza virus 5 (isolate Canine/CPI-) (PIV5) (Simian virus 5) || 31609 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 592 || Parainfluenza virus 5 (isolate Human/LN) (PIV5) (Simian virus 5) || 31610 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 593 || Rabies virus (isolate Human/Algeria/1991) (RABV) || 31613 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 594 || Hantaan virus (strain B-1) (Korean hemorrhagic fever virus) || 31617 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 595 || Seoul virus (strain R22) || 31620 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 596 || Human coronavirus OC43 (HCoV-OC43) || 31631 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 597 || Dengue virus type 2 (strain Thailand/16681/1984) (DENV-2) || 31634 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 598 || Dengue virus type 2 (strain 16681-PDK53) (DENV-2) || 31635 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 599 || Dengue virus type 2 (strain China/D2-04) (DENV-2) || 31636 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 600 || Dengue virus type 2 (strain Thailand/TH-36/1958) (DENV-2) || 31637 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 601 || Langat virus (strain TP21) || 31638 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 602 || Langat virus (strain Yelantsev) || 31639 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 603 || Louping ill virus (strain SB 526) (Li) || 31640 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 604 || Yellow fever virus (isolate Peru/1899/1981) (YFV) || 31641 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 605 || Hepatitis C virus genotype 1b (isolate HC-JT) (HCV) || 31642 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 606 || Hepatitis C virus (isolate HCV-476) (HCV) || 31643 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 607 || Hepatitis C virus (isolate HCV-KF) (HCV) || 31644 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 608 || Hepatitis C virus genotype 1b (isolate Taiwan) (HCV) || 31645 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 609 || Influenza A virus (strain A/Turkey/Bethlehem-Glilit/1492-B/1982 H1N1) || 31663 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 610 || Human immunodeficiency virus type 1 group M subtype B (isolate WMJ1) (HIV-1) || 31678 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 611 || Human immunodeficiency virus type 2 subtype A (isolate ST/24.1C#2) (HIV-2) || 31681 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 612 || Sindbis virus subtype Ockelbo (strain Edsbyn 82-5) (OCKV) (Ockelbo virus) || 31699 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 613 || Mengo encephalomyocarditis virus (strain 37A) || 31702 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 614 || Echovirus 11 (strain Gregory) || 31705 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 615 || Human hepatitis A virus genotype IIIA (isolate GA76) (HHAV) (Human hepatitis A virus (isolate Human/Georgia/GA76/1976)) || 31706 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 616 || Human rhinovirus 16 (HRV-16) || 31708 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 617 || Hepatitis delta virus genotype I (isolate D380) (HDV) || 31762 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 618 || Hepatitis delta virus genotype I (isolate Lebanon-1) (HDV) || 31763 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 619 || Hepatitis delta virus genotype I (isolate Woodchuck) (HDV) || 31764 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 620 || Hepatitis E virus (isolate Rhesus/HT-4) (HEV) || 31766 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 621 || Hepatitis E virus genotype 1 (isolate Human/Burma) (HEV-1) || 31767 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 622 || Hepatitis E virus genotype 2 (isolate Human/Mexico) (HEV-2) || 31768 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 623 || Hepatitis E virus genotype 1 (isolate Human/Myanmar/HEVNE8L) (HEV-1) || 31769 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 624 || Human enterovirus 70 (strain J670/71) (EV70) (EV-70) || 31915 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 625 || Human herpesvirus 6B (HHV-6 variant B) (Human B lymphotropic virus) || 32604 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 626 || Human immunodeficiency virus type 1 group O (isolate ANT70) (HIV-1) || 327105 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 627 || Hepatitis C virus (isolate Glasgow) (HCV) || 329389 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 628 || Hepatitis C virus genotype 1b (isolate Con1) (HCV) || 333284 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 629 || Human papillomavirus 27 || 333752 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 630 || Human papillomavirus 57 || 333753 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 631 || Human papillomavirus type 10 || 333759 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 632 || Human papillomavirus type 16 || 333760 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 633 || Human papillomavirus type 18 || 333761 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 634 || Human papillomavirus type 26 || 333762 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 635 || Human papillomavirus type 32 || 333763 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 636 || Human papillomavirus type 34 || 333764 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 637 || Human papillomavirus type 53 || 333765 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 638 || Human papillomavirus 72 || 333770 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 639 || Human papillomavirus 5 || 333923 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 640 || Human papillomavirus 62 || 334210 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 641 || Rotavirus X (strain RVX/Human/China/NADRV-J19/1997/GXP[X]) (RV ADRV-N) (Rotavirus (isolate novel adult diarrhea rotavirus-J19)) || 335103 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 642 || Rotavirus A (isolate RVA/Human/-/RK9/XXXX/GXP[X]) (RV-A) || 33722 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 643 || Lake Victoria marburgvirus (strain Musoke-80) (MARV) (Marburg virus (strain Kenya/Musoke/1980)) || 33727 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 644 || Lake Victoria marburgvirus (strain Popp-67) (MARV) (Marburg virus (strain West Germany/Popp/1967)) || 33728 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 645 || Mumps virus (strain SBL) (MuV) || 33729 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 646 || Parainfluenza virus 5 (strain 21004-WR) (PIV5) (Simian virus 5) || 33730 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 647 || Dengue virus type 1 (strain Singapore/S275/1990) (DENV-1) || 33741 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 648 || Kyasanur forest disease virus (KFDV) || 33743 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 649 || Hepatitis E virus genotype 1 (isolate Human/Pakistan/Sar-55) (HEV-1) || 33774 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 650 || Simian foamy virus type 1 (SFVmac) (SFV-1) || 338478 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 651 || Cercopithecine herpesvirus 16 (CeHV-16) (Herpesvirus papio 2) || 340907 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 652 || Varicella-zoster virus (strain Oka vaccine) (HHV-3) (Human herpesvirus 3) || 341980 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 653 || Human adenovirus B serotype 11 (strain Slobiski) (HAdV-11) (Human adenovirus 11P (strain Slobiski)) || 343462 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 654 || Human adenovirus B serotype 11 (strain BC34) (HAdV-11) (Human adenovirus 11A (strain BC34)) || 343463 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 655 || Rotavirus X (isolate RVX/Human/Bangladesh/NADRV-B219/2002/GXP[X]) (RV ADRV-N) (Rotavirus (isolate novel adult diarrhea rotavirus-B219)) || 348136 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 656 || Measles virus (strain Biken) (MeV) (Subacute sclerosing panencephalitis virus (strain Biken)) || 351669 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 657 || Influenza A virus (strain A/Duck/Alberta/35/1976 H1N1) || 352520 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 658 || Influenza A virus (strain A/Duck/Hong Kong/7/1975 H3N2) || 352551 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 659 || Human astrovirus-4 (HAstV-4) || 35300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 660 || Bunyamwera virus (BUNV) || 35304 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 661 || Hepatitis C virus genotype 1c (isolate India) (HCV) || 356386 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 662 || Hepatitis C virus genotype 5a (isolate SA13) (HCV) || 356390 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 663 || Hepatitis C virus genotype 6a (isolate 6a33) (HCV) || 356391 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 664 || Hepatitis C virus genotype 1c (isolate HC-G9) (HCV) || 356410 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 665 || Hepatitis C virus genotype 2a (isolate JFH-1) (HCV) || 356411 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 666 || Hepatitis C virus genotype 2b (isolate JPUT971017) (HCV) || 356412 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 667 || Hepatitis C virus genotype 2c (isolate BEBE1) (HCV) || 356413 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 668 || Hepatitis C virus genotype 2k (isolate VAT96) (HCV) || 356414 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 669 || Hepatitis C virus genotype 3a (isolate NZL1) (HCV) || 356415 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 670 || Hepatitis C virus genotype 3a (isolate k3a) (HCV) || 356416 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 671 || Hepatitis C virus genotype 3k (isolate JK049) (HCV) || 356417 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 672 || Hepatitis C virus genotype 4a (isolate ED43) (HCV) || 356418 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 673 || Hepatitis C virus genotype 5a (isolate EUH1480) (HCV) || 356419 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 674 || Hepatitis C virus genotype 6a (isolate EUHK2) (HCV) || 356420 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 675 || Hepatitis C virus genotype 6b (isolate Th580) (HCV) || 356421 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 676 || Hepatitis C virus genotype 6d (isolate VN235) (HCV) || 356422 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 677 || Hepatitis C virus genotype 6g (isolate JK046) (HCV) || 356423 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 678 || Hepatitis C virus genotype 6h (isolate VN004) (HCV) || 356424 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 679 || Hepatitis C virus genotype 6k (isolate VN405) (HCV) || 356425 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 680 || Xenotropic MuLV-related virus (isolate VP35) (XMRV) || 356663 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 681 || Xenotropic MuLV-related virus (isolate VP42) (XMRV) || 356664 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 682 || Hepatitis C virus genotype 3b (isolate Tr-Kj) (HCV) || 357355 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 683 || Human astrovirus-3 (HAstV-3) || 35740 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 684 || Human astrovirus-5 (HAstV-5) || 35741 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 685 || Human immunodeficiency virus type 1 group M subtype B (isolate YU-2) (HIV-1) || 362651 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 686 || Influenza A virus (strain A/New Zealand:South Canterbury/35/2000 H1N1) || 363066 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 687 || Human herpesvirus 1 (strain R15) (HHV-1) (Human herpes simplex virus 1) || 36345 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 688 || Human herpesvirus 1 (strain R19) (HHV-1) (Human herpes simplex virus 1) || 36346 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 689 || Human herpesvirus 6B (strain Z29) (HHV-6 variant B) (Human B lymphotropic virus) || 36351 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 690 || Human immunodeficiency virus type 1 group M subtype B (isolate KB-1/ETR) (HIV-1) || 36375 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 691 || Human immunodeficiency virus type 1 group M subtype B (isolate N1T-A) (HIV-1) || 36376 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 692 || Venezuelan equine encephalitis virus (strain 3880) (VEEV) || 36382 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 693 || Venezuelan equine encephalitis virus (strain Everglades Fe3-7c) (VEEV) || 36383 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 694 || Venezuelan equine encephalitis virus (strain Mena II) (VEEV) || 36384 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 695 || Venezuelan equine encephalitis virus (strain P676) (VEEV) || 36385 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 696 || Louping ill virus (strain 31) (Li) || 36386 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 697 || Louping ill virus (strain K) (Li) || 36387 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 698 || Louping ill virus (strain Negishi 3248/49/P10) (Li) || 36388 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 699 || Louping ill virus (strain Norway) (Li) || 36389 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 700 || Coxsackievirus A24 (strain EH24/70) || 36404 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 701 || Measles virus (strain Edmonston-AIK-C vaccine) (MeV) (Subacute sclerose panencephalitis virus) || 36408 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 702 || Human parainfluenza 1 virus (strains A1426 / 86-315 / 62m-753) (HPIV-1) || 36412 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 703 || Influenza A virus (strain A/Chicken/Brescia/1902 H7N7) || 36418 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 704 || Influenza A virus (strain A/Goose/Guangxi/345/2005 H5N1 genotype G) || 365089 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 705 || Sapporo virus (isolate GI/Human/Japan/Ehime643/2000) (Hu/SV/Ehi643/2000/JP) || 369964 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 706 || Human herpesvirus 1 (strain CVG-2) (HHV-1) (Human herpes simplex virus 1) || 37106 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 707 || Human herpesvirus 1 (strain MGH-10) (HHV-1) (Human herpes simplex virus 1) || 37107 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 708 || Chikungunya virus (strain S27-African prototype) (CHIKV) || 371094 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 709 || Chikungunya virus (strain 37997) (CHIKV) || 371095 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 710 || Chikungunya virus (strain Nagpur) (CHIKV) || 371096 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 711 || Human papillomavirus 28 || 37111 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 712 || Human papillomavirus 29 || 37112 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 713 || Human papillomavirus type 55 || 37114 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 714 || Human papillomavirus 59 || 37115 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 715 || Human papillomavirus type 61 || 37116 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 716 || Human papillomavirus type 64 || 37118 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 717 || Human papillomavirus 66 || 37119 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 718 || Human papillomavirus 67 || 37120 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 719 || Human papillomavirus 69 || 37121 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 720 || Human papillomavirus type 6a || 37122 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 721 || Chikungunya virus (CHIKV) || 37124 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 722 || Southampton virus (strain GI/Human/United Kingdom/Southampton/1991) (SHV) (Hu/NV/SHV/1991/UK) || 37129 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 723 || Human astrovirus-6 (HAstV-6) || 37130 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 724 || Rabies virus (isolate Fox/Ontario/1991) (RABV) || 37132 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 725 || Rotavirus A (isolate RVA/Human/Thailand/Mc35/1992/G10P11[14]) (RV-A) || 37136 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 726 || Human herpesvirus 8 (HHV-8) (Kaposi&#039;s sarcoma-associated herpesvirus) || 37296 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 727 || Xenotropic MuLV-related virus (isolate VP62) (XMRV) || 373193 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 728 || Eastern equine encephalitis virus (strain PE-0.0155) (EEEV) (Eastern equine encephalomyelitis virus) || 374596 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 729 || Eastern equine encephalitis virus (strain PE-3.0815) (EEEV) (Eastern equine encephalomyelitis virus) || 374597 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 730 || Eastern equine encephalitis virus (strain Florida 91-469) (EEEV) (Eastern equine encephalomyelitis virus) || 374598 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 731 || O&#039;nyong-nyong virus (strain SG650) (ONNV) || 374989 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 732 || Mayaro virus (strain Brazil) (MAYV) || 374990 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 733 || Rubella virus (strain BRD1) (RUBV) || 376262 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 734 || Rubella virus (strain BRDII) (RUBV) || 376263 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 735 || Rubella virus (strain TO-336) (RUBV) || 376264 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 736 || Rubella virus (strain TO-336 vaccine) (RUBV) || 376265 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 737 || Rubella virus (strain Cendehill) (RUBV) || 376266 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 738 || Rubella virus (strain RN-UK86) (RUBV) || 376267 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 739 || Lake Victoria marburgvirus (strain Ravn-87) (MARV) (Marburg virus (strain Kenya/Ravn/1987)) || 378809 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 740 || Lake Victoria marburgvirus (strain Angola/2005) (MARV) || 378830 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 741 || Human papillomavirus 22 || 37954 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 742 || Human papillomavirus 23 || 37955 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 743 || Human papillomavirus 24 || 37956 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 744 || Human papillomavirus 36 || 37957 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 745 || Human papillomavirus 37 || 37958 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 746 || Human papillomavirus 38 || 37959 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 747 || Influenza A virus (strain A/New Jersey/8/1976 H1N1) || 379756 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 748 || Influenza A virus (strain A/Taiwan/1/1986 H1N1) || 380213 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 749 || Influenza A virus (strain A/Swine/Hong Kong/3/1976 H3N2) || 380216 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 750 || Influenza A virus (strain A/Swine/Hong Kong/4/1976 H3N2) || 380217 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 751 || Influenza A virus (strain A/Fort Monmouth/1/1947 H1N1) || 380282 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 752 || Influenza A virus (strain A/Equine/Prague/1/1956 H7N7) || 380337 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 753 || Influenza A virus (strain A/Equine/London/1416/1973 H7N7) || 380340 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 754 || Influenza A virus (strain A/Swine/Iowa/17672/1988 H1N1) || 380341 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 755 || Influenza A virus (strain A/Swine/Iowa/15/1930 H1N1) || 380342 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 756 || Influenza A virus (strain A/Wisconsin/3523/1988 H1N1) || 380346 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 757 || Influenza A virus (strain A/Swine/Netherlands/12/1985 H1N1) || 380347 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 758 || Influenza A virus (strain A/Turkey/Minnesota/1661/1981 H1N1) || 380349 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 759 || Influenza A virus (strain A/Beijing/353/1989 H3N2) || 380949 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 760 || Influenza A virus (strain A/Tokyo/3/1967 H2N2) || 380960 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 761 || Influenza A virus (strain A/Leningrad/134/47/1957 H2N2) || 380983 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 762 || Influenza A virus (strain A/Leningrad/134/17/1957 H2N2) || 380984 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 763 || Influenza A virus (strain A/Chile/1/1983 H1N1) || 380985 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 764 || Influenza A virus (strain A/USSR/90/1977 H1N1) || 381516 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 765 || Influenza A virus (strain A/Udorn/307/1972 H3N2) || 381517 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 766 || Influenza A virus (strain A/Wilson-Smith/1933 H1N1) (Influenza A virus (strain A/WS/1933 H1N1)) || 381518 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 767 || Influenza A virus (strain A/Singapore/1/1957 H2N2) || 382781 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 768 || Influenza A virus (strain A/Guangdong/39/1989 H3N2) || 382812 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 769 || Influenza A virus (strain A/Philippines/2/1982 H3N2) || 382825 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 770 || Influenza A virus (strain A/RI/5-/1957 H2N2) || 382828 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 771 || Influenza A virus (strain A/Swine/29/1937 H1N1) || 382842 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 772 || Influenza A virus (strain A/Swine/Cambridge/1/1935 H1N1) || 382844 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 773 || Influenza A virus (strain A/Swine/Dandong/9/1983 H3N2) || 382846 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 774 || Influenza A virus (strain A/Swine/Hong Kong/126/1982 H3N2) || 382848 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 775 || Influenza A virus (strain A/Swine/Italy/839/1989 H1N1) || 382851 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 776 || Influenza A virus (strain A/Swine/Wisconsin/1/1967 H1N1) || 382855 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 777 || Influenza A virus (strain A/Swine/Italy/141/1981 H1N1) || 383530 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 778 || Influenza A virus (strain A/Swine/Italy/2/1979 H1N1) || 383531 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 779 || Influenza A virus (strain A/Swine/Italy/437/1976 H1N1) || 383532 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 780 || Influenza A virus (strain A/Swine/Wisconsin/1/1961 H1N1) || 383533 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 781 || Influenza A virus (strain A/Swine/Wisconsin/1/1957 H1N1) || 383534 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 782 || Influenza A virus (strain A/Swine/May/1954 H1N1) || 383535 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 783 || Influenza A virus (strain A/Swine/41/1949 H1N1) || 383536 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 784 || Influenza A virus (strain A/Swine/Iowa/1946 H1N1) || 383537 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 785 || Influenza A virus (strain A/Swine/Jamesburg/1942 H1N1) || 383538 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 786 || Influenza A virus (strain A/Swine/Ohio/23/1935 H1N1) || 383539 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 787 || Influenza A virus (strain A/England/19/1955 H1N1) || 383541 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 788 || Influenza A virus (strain A/Hickox/1940 H1N1) || 383543 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 789 || Influenza A virus (strain A/Teal/Iceland/29/1980 H7N7) || 383546 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 790 || Influenza A virus (strain A/Duck/Australia/749/1980 H1N1) || 383547 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 791 || Influenza A virus (strain A/Fowl plague virus/Dobson/&#039;Dutch&#039;/1927 H7N7) || 383551 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 792 || Influenza A virus (strain A/Shanghai/16/1989 H3N2) || 383567 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 793 || Influenza A virus (strain A/Shanghai/11/1987 H3N2) || 383568 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 794 || Influenza A virus (strain A/Shanghai/31/1980 H3N2) || 383569 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 795 || Influenza A virus (strain A/Shanghai/6/1990 H3N2) || 383570 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 796 || Influenza A virus (strain A/Memphis/6/1986 H3N2) || 383571 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 797 || Influenza A virus (strain A/Memphis/14/1985 H3N2) || 383572 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 798 || Influenza A virus (strain A/Memphis/5/1980 H3N2) || 383575 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 799 || Influenza A virus (strain A/Memphis/4/1980 H3N2) || 383578 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 800 || Influenza A virus (strain A/Memphis/18/1978 H3N2) || 383579 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 801 || Influenza A virus (strain A/Memphis/2/1978 H3N2) || 383580 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 802 || Influenza A virus (strain A/Memphis/110/1976 H3N2) || 383581 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 803 || Influenza A virus (strain A/Memphis/1/1973 H3N2) || 383582 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 804 || Influenza A virus (strain A/Memphis/101/1972 H3N2) || 383583 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 805 || Influenza A virus (strain A/Memphis/1/1971 H3N2) || 383586 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 806 || Influenza A virus (strain A/Memphis/8/1988 H3N2) || 383588 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 807 || Influenza A virus (strain A/Memphis/3/1988 H3N2) || 383589 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 808 || Influenza A virus (strain A/Guangdong/9/1987 H3N2) || 383592 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 809 || Influenza A virus (strain A/Guangdong/38/1977 H3N2) || 383593 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 810 || Influenza A virus (strain A/Beijing/337/1989 H3N2) || 383595 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 811 || Influenza A virus (strain A/Beijing/39/1975 H3N2) || 383596 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 812 || Influenza A virus (strain A/Beijing/352/1989 H3N2) || 383597 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 813 || Influenza A virus (strain A/Swine/Tennessee/26/1977 H1N1) || 384479 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 814 || Influenza A virus (strain A/Swine/Iowa/1976/1931 H1N1) || 384482 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 815 || Influenza A virus (strain A/Swine/Hong Kong/127/1982 H3N2) || 384483 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 816 || Influenza A virus (strain A/Swine/Hong Kong/81/1978 H3N2) || 384484 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 817 || Influenza A virus (strain A/Swine/Hong Kong/6/1976 H3N2) || 384485 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 818 || Influenza A virus (strain A/Swine/Indiana/1726/1988 H1N1) || 384487 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 819 || Influenza A virus (strain A/Loyang/4/1957 H1N1) || 384489 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 820 || Influenza A virus (strain A/Seal/Massachusetts/1/1980 H7N7) || 384493 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 821 || Influenza A virus (strain A/Kiev/59/1979 H1N1) || 384495 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 822 || Influenza A virus (strain A/Ann Arbor/6/1960 H2N2) || 384498 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 823 || Influenza A virus (strain A/Beijing/11/1956 H1N1) || 384500 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 824 || Influenza A virus (strain A/Swine/Ontario/2/1981 H1N1) || 384501 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 825 || Influenza A virus (strain A/Mallard/New York/6750/1978 H2N2) || 384502 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 826 || Influenza A virus (strain A/Northern Territory/60/1968 H3N2) (Influenza A virus (strain NT60)) (Influenza A virus (strain A/NT/60/1968 H3N2)) || 384505 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 827 || Influenza A virus (strain A/Mallard/New York/6874/1978 H3N2) || 384518 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 828 || Influenza A virus (strain A/Fort Warren/1/1950 H1N1) || 384525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 829 || Influenza A virus (strain A/Canberra grammar/1977 H3N2) || 384526 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 830 || Influenza A virus (strain A/Berkeley/1/1968 H2N2) || 384528 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 831 || Influenza A virus (strain A/Alaska/6/1977 H3N2) || 385576 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 832 || Influenza A virus (strain A/Ohio/4/1983 H1N1) || 385596 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 833 || Influenza A virus (strain A/Udorn/1972 H3N2) || 385599 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 834 || Influenza A virus (strain A/Swine/Tennessee/24/1977 H1N1) || 385606 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 835 || Influenza A virus (strain A/Port Chalmers/1/1973 H3N2) || 385624 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 836 || Influenza A virus (strain A/BH/1935 H1N1) || 385629 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 837 || Influenza A virus (strain A/Bangkok/1/1979 H3N2) || 385630 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 838 || Influenza A virus (strain A/Memphis/102/1972 H3N2) || 385640 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 839 || Influenza A virus (strain A/Swine/Ukkel/1/1984 H3N2) || 385644 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 840 || Influenza A virus (strain A/Swine/Colorado/1/1977 H3N2) || 385645 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 841 || Reston ebolavirus (strain Reston-89) (REBOV) (Reston Ebola virus) || 386032 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 842 || Sudan ebolavirus (strain Human/Uganda/Gulu/2000) (SEBOV) (Sudan Ebola virus) || 386033 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 843 || Influenza A virus (strain A/Aichi/2/1968 H3N2) || 387139 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 844 || Influenza A virus (strain A/England/878/1969 H3N2) || 387147 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 845 || Influenza A virus (strain A/Hong Kong/5/1983 H3N2) || 387159 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 846 || Influenza A virus (strain A/Japan/305/1957 H2N2) || 387161 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 847 || Influenza A virus (strain A/Leningrad/134/1957 H2N2) || 387163 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 848 || Influenza A virus (strain A/Camel/Mongolia/1982 H1N1) || 387191 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 849 || Influenza A virus (strain A/Duck/Bavaria/2/1977 H1N1) || 387203 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 850 || Lagos bat virus (LBV) || 38766 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 851 || Duvenhage virus (DUVV) || 38767 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 852 || Yaba monkey tumor virus (YMTV) || 38804 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 853 || Banzi virus (BANV) || 38837 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 854 || Human immunodeficiency virus type 1 group M subtype C (isolate ETH2220) (HIV-1) || 388796 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 855 || Human immunodeficiency virus type 1 group M subtype C (isolate 92BR025) (HIV-1) || 388812 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 856 || Human immunodeficiency virus type 1 group M subtype F1 (isolate VI850) (HIV-1) || 388813 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 857 || Human immunodeficiency virus type 1 group M subtype F1 (isolate 93BR020) (HIV-1) || 388814 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 858 || Human immunodeficiency virus type 1 group M subtype F2 (isolate MP255) (HIV-1) || 388815 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 859 || Human immunodeficiency virus type 1 group O (isolate MVP5180) (HIV-1) || 388816 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 860 || Human immunodeficiency virus type 1 group N (isolate YBF30) (HIV-1) || 388818 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 861 || Human immunodeficiency virus type 1 group N (isolate YBF106) (HIV-1) || 388819 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 862 || Human immunodeficiency virus type 2 subtype B (isolate EHO) (HIV-2) || 388821 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 863 || Human immunodeficiency virus type 2 subtype B (isolate UC1) (HIV-2) || 388822 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 864 || Human immunodeficiency virus type 1 group M subtype F2 (isolate MP257) (HIV-1) || 388823 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 865 || Human immunodeficiency virus type 1 group M subtype G (isolate SE6165) (HIV-1) || 388824 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 866 || Human immunodeficiency virus type 1 group M subtype G (isolate 92NG083) (HIV-1) || 388825 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 867 || Human immunodeficiency virus type 1 group M subtype H (isolate 90CF056) (HIV-1) || 388826 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 868 || Human immunodeficiency virus type 1 group M subtype H (isolate VI991) (HIV-1) || 388888 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 869 || Human immunodeficiency virus type 1 group M subtype J (isolate SE9173) (HIV-1) || 388904 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 870 || Human immunodeficiency virus type 1 group M subtype J (isolate SE9280) (HIV-1) || 388905 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 871 || Human immunodeficiency virus type 1 group M subtype K (isolate 96CM-MP535) (HIV-1) || 388906 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 872 || Human immunodeficiency virus type 1 group M subtype K (isolate 97ZR-EQTB11) (HIV-1) || 388907 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 873 || Human astrovirus-7 (HAstV-7) || 38950 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 874 || Influenza A virus (strain A/Memphis/4/1973 H3N2) || 38973 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 875 || Influenza B virus (strain B/Finland/145/1990) || 38988 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 876 || Influenza B virus (strain B/Finland/146/1990) || 38990 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 877 || Influenza B virus (strain B/Finland/147/1990) || 38991 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 878 || Influenza B virus (strain B/Finland/148/1990) || 38992 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 879 || Influenza B virus (strain B/Finland/149/1990) || 38993 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 880 || Influenza B virus (strain B/Finland/150/1990) || 38994 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 881 || Influenza B virus (strain B/Finland/151/1990) || 38995 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 882 || Influenza B virus (strain B/Finland/24/1985) || 38996 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 883 || Influenza B virus (strain B/Finland/56/1988) || 38997 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 884 || Puumala virus (strain Berkel) || 38998 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 885 || Puumala virus (strain Evo/12CG/93) || 38999 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 886 || Puumala virus (strain K27) || 39000 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 887 || Puumala virus (strain P360) || 39001 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 888 || Puumala virus (strain Sotkamo/V-2969/81) || 39002 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 889 || Puumala virus (strain Udmurtia/894CG/91) || 39003 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 890 || Rabies virus (isolate Skunk/Ontario/1991) (RABV) || 39005 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 891 || Tick-borne powassan virus (strain LB) (POWV) (Powassan virus) || 39008 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 892 || Rotavirus A (isolate RVA/Human/Australia/A91a/1991/G1P[X]) (RV-A) || 39011 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 893 || Rotavirus A (strain RVA/Human/Japan/K8/1977/G1P3A[9]) (RV-A) || 39012 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 894 || Rotavirus A (strain RVA/Human/Japan/AU-1/1982/G3P3[9]) (RV-A) || 39013 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 895 || Human T-cell leukemia virus 1 (isolate Zaire EL subtype B) (HTLV-1) || 39015 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 896 || Human T-cell leukemia virus 1 (isolate Caribbea CH subtype A) (HTLV-1) || 39016 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 897 || Human enterovirus 71 (EV71) (EV-71) || 39054 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 898 || Influenza A virus (strain A/Victoria/3/1975 H3N2) || 392809 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 899 || Influenza A virus (strain A/Leningrad/1/1954 H1N1) || 393557 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 900 || Influenza A virus (strain A/Brazil/11/1978 H1N1) || 393560 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 901 || Influenza A virus (strain A/India/6263/1980 H1N1) || 393562 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 902 || Influenza A virus (strain A/England/321/1977 H3N2) || 393563 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 903 || Human papillomavirus type 70 || 39457 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 904 || Influenza A virus (strain A/China:Nanchang/11/1996 H1N1) || 394786 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 905 || Horsepox virus (HSPV) || 397342 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 906 || Human immunodeficiency virus type 1 group M subtype B (strain 89.6) (HIV-1) || 401671 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 907 || Human T-cell leukemia virus 3 (strain 2026ND) (HTLV-3) || 402036 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 908 || Human T-cell leukemia virus 1 (isolate Melanesia mel5 subtype C) (HTLV-1) || 402046 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 909 || Influenza A virus (strain A/Chicken/Victoria/1/1985 H7N7) || 402520 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 910 || Influenza A virus (strain A/Starling/Victoria/5156/1985 H7N7) || 402525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 911 || Influenza A virus (strain A/Chicken/Scotland/1959 H5N1) || 402527 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 912 || Human papillomavirus type 48 || 40538 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 913 || Human papillomavirus type 50 || 40539 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 914 || Human papillomavirus type 60 || 40540 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 915 || Human T-cell leukemia virus 3 (strain Pyl43) (HTLV-3) || 406769 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 916 || Yellow fever virus (strain Ghana/Asibi/1927) (YFV) || 407134 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 917 || Yellow fever virus (strain French neurotropic vaccine FNV) (YFV) || 407135 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 918 || Yellow fever virus (isolate Ivory Coast/1999) (YFV) || 407136 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 919 || Yellow fever virus (strain Trinidad/TRINID79A/1979) (YFV) || 407137 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 920 || Yellow fever virus (isolate Ivory Coast/85-82H/1982) (YFV) || 407138 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 921 || Yellow fever virus (isolate Uganda/A7094A4/1948) (YFV) || 407139 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 922 || Yellow fever virus (isolate Angola/14FA/1971) (YFV) || 407140 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 923 || Yellow fever virus (isolate Ethiopia/Couma/1961) (YFV) || 407141 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 924 || Dengue virus type 1 (strain Brazil/97-11/1997) (DENV-1) || 408685 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 925 || Dengue virus type 4 (strain Philippines/H241/1956) (DENV-4) || 408686 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 926 || Dengue virus type 4 (strain Singapore/8976/1995) (DENV-4) || 408687 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 927 || Dengue virus type 4 (strain Thailand/0348/1991) (DENV-4) || 408688 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 928 || Dengue virus type 4 (strain Thailand/0476/1997) (DENV-4) || 408689 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 929 || Dengue virus type 3 (strain China/80-2/1980) (DENV-3) || 408690 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 930 || Dengue virus type 3 (strain Martinique/1243/1999) (DENV-3) || 408691 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 931 || Dengue virus type 3 (strain Sri Lanka/1266/2000) (DENV-3) || 408692 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 932 || Dengue virus type 3 (strain Singapore/8120/1995) (DENV-3) || 408693 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 933 || Dengue virus type 2 (strain Peru/IQT2913/1996) (DENV-2) || 408694 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 934 || Dengue virus type 3 (strain Philippines/H87/1956) (DENV-3) || 408870 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 935 || Dengue virus type 4 (strain Dominica/814669/1981) (DENV-4) || 408871 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 936 || Influenza B virus (strain B/Panama/45/1990) || 408929 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 937 || Human respiratory syncytial virus A (strain S-2) (HRSV-S2) || 410078 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 938 || Dengue virus type 2 (isolate Thailand/0168/1979) (DENV-2) || 413041 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 939 || Influenza B virus (strain B/Yamagata/16/1988) || 416674 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 940 || Influenza B virus (strain B/Hong Kong/22/1989) || 416675 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 941 || Influenza B virus (strain B/Bangkok/163/1990) || 416677 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 942 || Influenza A virus (strain A/USA:Memphis/10/1996 H1N1) || 416730 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 943 || Hepatitis C virus genotype 1b (strain HC-J4) (HCV) || 420174 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 944 || Hepatitis C virus genotype 1b (isolate HC-J1) (HCV) || 421877 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 945 || Hepatitis C virus genotype 1b (isolate HCR6) (HCV) || 421879 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 946 || KI polyomavirus (isolate Stockholm 60) (KIPyV) || 423446 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 947 || KI polyomavirus (isolate Stockholm 350) (KIPyV) || 423447 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 948 || KI polyomavirus (isolate Stockholm 380) (KIPyV) || 423448 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 949 || Influenza A virus (strain A/USA:Huston/AA/1945 H1N1) || 425551 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 950 || Influenza A virus (strain A/California/10/1978 H1N1) || 425557 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 951 || Influenza A virus (strain A/Henry/1936 H1N1) || 425562 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 952 || Influenza A virus (strain A/USA:Iowa/1943 H1N1) || 425563 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 953 || Influenza A virus (strain A/Malaysia:Malaya/302/1954 H1N1) || 425566 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 954 || Influenza A virus (strain A/USA:Phila/1935 H1N1) || 425570 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 955 || Influenza A virus (strain A/USA:Albany/12/1951 H1N1) || 425580 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 956 || Influenza B virus (strain B/Hong Kong/8/1973) || 427826 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 957 || Human astrovirus-8 (HAstV-8) || 43358 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 958 || Saffold virus (SafV) (Human TMEV-like virus-Saffold) || 434309 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 959 || Vesicular stomatitis Indiana virus (strain 98COE North America) (VSIV) || 434488 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 960 || Vesicular stomatitis Indiana virus (strain 94GUB Central America) (VSIV) || 434489 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 961 || Vesicular stomatitis Indiana virus (strain 85CLB South America) (VSIV) || 434490 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 962 || Kokobera virus (KOKV) || 44024 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 963 || WU polyomavirus (WUPyV) || 440266 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 964 || Human rhinovirus 3 (HRV-3) || 44130 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 965 || Human coronavirus HKU1 (isolate N1) (HCoV-HKU1) || 443239 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 966 || Human coronavirus HKU1 (isolate N2) (HCoV-HKU1) || 443240 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 967 || Human coronavirus HKU1 (isolate N5) (HCoV-HKU1) || 443241 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 968 || Influenza A virus (strain A/Texas/1/1977 H3N2) || 444318 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 969 || Rabies virus (strain India) (RABV) || 445790 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 970 || Rabies virus (strain China/MRV) (RABV) || 445791 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 971 || Rabies virus (strain China/DRV) (RABV) || 445792 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 972 || Rabies virus (strain silver-haired bat-associated) (RABV) (SHBRV) || 445793 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 973 || Australian bat lyssavirus (isolate Bat/AUS/1996) (ABLV) || 446561 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 974 || Australian bat lyssavirus (isolate Human/AUS/1998) (ABLV) || 446562 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 975 || New York virus (NYV) || 44755 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 976 || Human papillomavirus 68 || 45240 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 977 || Hepatitis B virus genotype F2 (isolate Brazil/w4B) (HBV-F) || 45410 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 978 || Rabies virus (strain Vnukovo-32) (RABV) || 45418 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 979 || Influenza A virus (strain A/USA:Texas/UR06-0195/2007 H1N1) || 455880 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 980 || Human adenovirus B serotype 3 (HAdV-3) (Human adenovirus 3) || 45659 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 981 || Influenza B virus (strain B/Malaysia/2506/2004) || 464417 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 982 || Colorado tick fever virus (CTFV) || 46839 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 983 || Human adenovirus D serotype 17 (HAdV-17) (Human adenovirus 17) || 46922 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 984 || Human hepatitis A virus genotype IA (isolate GBM) (HHAV) (Human hepatitis A virus (isolate Human/Germany/GBM/1976)) || 470422 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 985 || Human hepatitis A virus genotype IA (isolate H2) (HHAV) (Human hepatitis A virus (isolate Human/China/H2/1982)) || 470423 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 986 || Human hepatitis A virus genotype IA (isolate HAS-15) (HHAV) (Human hepatitis A virus (isolate Human/Arizona/HAS-15/1979)) || 470424 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 987 || Human hepatitis A virus genotype IIA (isolate CF-53) (HHAV) (Human hepatitis A virus (isolate Human/France/CF-53/1979)) || 470591 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 988 || Human hepatitis A virus genotype IIB (isolate SLF88) (HHAV) (Human hepatitis A virus (isolate Human/Sierra Leone/SLF88/1988)) || 470592 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 989 || Human hepatitis A virus genotype IIIA (isolate NOR-21) (HHAV) (Human hepatitis A virus (isolate Human/Norway/NOR-21/1998)) || 470593 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 990 || Human hepatitis A virus genotype IIIB (isolate HAJ85-1) (HHAV) (Human hepatitis A virus (isolate Human/Japan/HAJ85-1/1985)) || 474341 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 991 || Influenza A virus (strain A/Equine/Lexington/1/1966 H7N7) || 475494 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 992 || Influenza A virus (strain A/wyoming/03/2003 H3N2) || 480024 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 993 || Hepatitis B virus genotype A2 subtype adw2 (strain Rutter 1979) (HBV-A) || 480116 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 994 || Hepatitis B virus genotype C subtype adr (isolate Japan/Nishioka/1983) (HBV-C) || 482133 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 995 || Hepatitis B virus genotype A2 subtype adw (isolate Japan/Nishioka/1983) (HBV-A) || 482134 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 996 || Lake Victoria marburgvirus (strain Ozolin-75) (MARV) (Marburg virus (strain South Africa/Ozolin/1975)) || 482820 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 997 || Torque teno virus (isolate Human/Japan/TRM1/1999) (TTV) (Torque teno virus genotype 1a) || 486275 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 998 || Torque teno virus (isolate Human/Japan/SANBAN/1999) (TTV) || 486277 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 999 || Torque teno virus (isolate Human/China/CT39F/2001) (TTV) || 486279 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1000 || Torque teno virus (strain VT416) (TTV) || 486280 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1001 || Torque teno virus (isolate Human/Ghana/GH1/1996) (TTV) || 487067 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1002 || Uukuniemi virus (strain S23) (UUKV) || 487099 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1003 || Influenza A virus (strain A/Korea/426/1968 H2N2) || 488241 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1004 || Hepatitis B virus genotype A1 subtype adw2 (isolate Southern-Africa/Cai) (HBV-A) || 489449 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1005 || Hepatitis B virus genotype A1 subtype adw2 (isolate South Africa/84/2001) (HBV-A) || 489454 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1006 || Hepatitis B virus genotype A2 (isolate Japan/11D11HCCW/1998) (HBV-A) || 489457 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1007 || Hepatitis B virus genotype A3 (isolate Cameroon/CMR983/1994) (HBV-A) || 489458 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1008 || Hepatitis B virus genotype A3 (isolate Cameroon/CMR711/1994) (HBV-A) || 489459 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1009 || Hepatitis B virus genotype B2 (isolate Vietnam/9873/1997) (HBV-B) || 489461 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1010 || Hepatitis B virus genotype B2 (isolate Vietnam/16091/1992) (HBV-B) || 489462 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1011 || Hepatitis B virus genotype B2 subtype adw (isolate China/patient4/1996) (HBV-B) || 489463 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1012 || Hepatitis B virus genotype B1 (isolate Japan/Yamagata-2/1998) (HBV-B) || 489464 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1013 || Hepatitis B virus genotype B1 (isolate Japan/Ry30/2002) (HBV-B) || 489465 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1014 || Hepatitis B virus genotype C subtype ar (isolate Japan/S-207/1988) (HBV-C) || 489467 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1015 || Hepatitis B virus genotype C subtype ad (isolate Japan/S-179/1988) (HBV-C) || 489468 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1016 || Hepatitis B virus genotype C subtype ayw (isolate China/Tibet127/2002) (HBV-C) || 489469 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1017 || Hepatitis B virus genotype C subtype adr (isolate Japan/A4/1994) (HBV-C) || 489470 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1018 || Hepatitis B virus genotype C subtype ayw (isolate Australia/AustRC/1992) (HBV-C) || 489471 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1019 || Hepatitis B virus genotype C (isolate Vietnam/3270/2000) (HBV-C) || 489472 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1020 || Hepatitis B virus genotype D subtype ayw (isolate Japan/JYW796/1988) (HBV-D) || 489487 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1021 || Hepatitis B virus genotype D subtype ayw (isolate Australia/AustKW/1991) (HBV-D) || 489488 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1022 || Hepatitis B virus genotype D subtype ayw (isolate Italy/CI/1992) (HBV-D) || 489489 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1023 || Hepatitis B virus genotype D (isolate Germany/1-91/1991) (HBV-D) || 489490 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1024 || Hepatitis B virus genotype E subtype ayw4 (isolate Kou) (HBV-E) || 489495 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1025 || Hepatitis B virus genotype E (isolate Cote d&#039;Ivoire/ABI-129/2003) (HBV-E) || 489496 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1026 || Hepatitis B virus genotype E (isolate Chimpanzee/Ch195/1999) (HBV-E) || 489497 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1027 || Hepatitis B virus genotype E (isolate Cote d&#039;Ivoire/ABI-212/2003) (HBV-E) || 489498 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1028 || Hepatitis B virus genotype F1 subtype adw4 (isolate El Salvador/1116Sal/1997) (HBV-F) || 489499 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1029 || Hepatitis B virus genotype F1 (isolate Argentina/sa11/2000) (HBV-F) || 489500 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1030 || Hepatitis B virus genotype F2 (isolate Argentina/sa16/2000) (HBV-F) || 489501 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1031 || Hepatitis B virus genotype F2 subtype adw4q (isolate Senegal/9203) (HBV-F) || 489503 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1032 || Hepatitis B virus genotype G (isolate United States/USG17/2002) (HBV-G) || 489537 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1033 || Hepatitis B virus genotype G (isolate IG29227/2000) (HBV-G) || 489538 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1034 || Hepatitis B virus genotype H (isolate United States/LAS2523/2002) (HBV-H) || 489539 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1035 || Hepatitis B virus genotype H subtype adw4 (isolate Nicaragua/1853Nic/1997) (HBV-H) || 489540 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1036 || Hepatitis B virus genotype H subtype adw4 (isolate Nicaragua/2928Nic/1997) (HBV-H) || 489541 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1037 || Hepatitis B virus genotype D subtype ayw (isolate France/Tiollais/1979) (HBV-D) || 490133 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1038 || Influenza A virus (strain A/Hong Kong/1/1968 H3N2) || 506350 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1039 || Hepatitis E virus genotype 3 (isolate Human/United States/US2) (HEV-3) || 509615 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1040 || Hepatitis E virus genotype 4 (isolate Human/China/T1) (HEV-4) (Hepatitis E virus genotype 4 (isolate Human/China/Ct1)) || 509627 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1041 || Human papillomavirus 73 || 51033 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1042 || Hepatitis E virus genotype 3 (isolate Swine/United States/swUS1) (HEV-3) (Hepatitis E virus genotype 3 (isolate Swine/United States/Meng)) || 512345 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1043 || Hepatitis E virus genotype 1 (isolate Human/India/Hyderabad) (HEV-1) || 512346 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1044 || Influenza B virus (strain B/Lee/1940) || 518987 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1045 || Influenza A virus (strain A/Russia:St.Petersburg/8/2006 H1N1) || 518998 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1046 || Norovirus (strain Human/NoV/United States/Norwalk/1968/GI) (Hu/NV/NV/1968/US) || 524364 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1047 || Human herpesvirus 7 (strain JI) (HHV-7) (Human T lymphotropic virus) || 57278 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1048 || Human herpesvirus 7 (strain MUK) (HHV-7) (Human T lymphotropic virus) || 57279 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1049 || Human bocavirus 2 (HBoV2) (Human bocavirus type 2) || 573977 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1050 || Rotavirus A (isolate RVA/Human/United Kingdom/A64/1987/G10P11[14]) (RV-A) || 578827 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1051 || Rotavirus A (strain RVA/Human/Japan/KUN/1980/G2P1B[4]) (RV-A) || 578829 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1052 || Rotavirus A (isolate RVA/Human/United States/WI61/1983/G9P1A[8]) (RV-A) || 578830 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1053 || Rotavirus A (strain RVA/Human/United States/D/1974/G1P1A[8]) (RV-A) || 578831 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1054 || Rotavirus A (strain RVA/Human/Japan/YO/1977/G3P1A[8]) (RV-A) || 578832 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1055 || Rotavirus A (strain RVA/Human/United States/M/1976/G3P[X]) (RV-A) || 578834 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1056 || Rotavirus A (isolate RVA/Human/Belgium/B4106/2000/G3P11[14]) (RV-A) (Rotavirus A (isolate B4106)) || 578843 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1057 || Variola virus (isolate Human/India/Ind3/1967) (VARV) (Smallpox virus) || 587200 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1058 || Getah virus (GETV) || 59300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1059 || Sagiyama virus (SAGV) || 59303 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1060 || Ilheus virus (ILHV) || 59563 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1061 || Monkeypox virus (strain Zaire-96-I-16) (MPX) || 619591 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1062 || Influenza A virus (strain A/Kitakyushu/159/1993 H3N2) || 62478 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1063 || Hepatitis C virus genotype 1a (isolate H77) (HCV) || 63746 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1064 || Rotavirus A (isolate RVA/Human/India/116E/1986/G9P8[11]) (RV-A) || 638299 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1065 || Human bocavirus 3 (HBoV3) (Adelavirus W471) || 638313 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1066 || Influenza A virus (strain swl A/California/04/2009 H1N1) || 641501 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1067 || Usutu virus (USUV) || 64286 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1068 || Tembusu virus (TMUV) || 64293 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1069 || Bussuquara virus (BUSV) || 64304 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1070 || Rocio virus (ROCV) || 64315 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1071 || Zika virus (ZIKV) || 64320 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1072 || Influenza A virus (strain swl A/New York/23/2009 H1N1) || 643546 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1073 || Influenza A virus (strain swl A/Mexico/InDRE4487/2009 H1N1) || 643780 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1074 || Influenza A virus (strain swl A/Paris/2590/2009 H1N1) || 644653 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1075 || Influenza A virus (strain swl A/Mexico/4108/2009 H1N1) || 644882 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1076 || Measles virus (strain Ichinose-B95a) (MeV) (Subacute sclerose panencephalitis virus) || 645098 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1077 || Human astrovirus VA1 (HAstV-VA1) (Mamastrovirus 9) || 645687 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1078 || Orf virus (strain Goat/Texas/SA00/2000) (OV-SA00) (Orf virus-San Angelo 2000) || 647330 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1079 || Human picobirnavirus (strain Human/Thailand/Hy005102/-) (PBV) || 647332 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1080 || Colorado tick fever virus (strain USA/Florio N-7180) (CTFV) || 648168 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1081 || Human parvovirus B19 (strain HV) (HPV B19) || 648237 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1082 || Human parvovirus B19 (isolate AU) (HPV B19) || 648238 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1083 || Influenza A virus (strain swl A/Guangdong/02/2009 H1N1) || 649331 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1084 || Human rhinovirus A serotype 89 (strain 41467-Gallo) (HRV-89) || 650130 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1085 || Aichi virus (strain Human/A846/88/1989) (AiV) (Aichi virus (strain A846/88)) || 650132 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1086 || Influenza A virus (strain swl A/Italy/05/2009 H1N1) || 651124 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1087 || Salivirus A (isolate Human/Nigeria/NG-J1/2007) (SV-A) || 651733 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1088 || Hepatitis E virus genotype 1 (isolate Human/China/HeBei/1987) (HEV) || 652674 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1089 || Influenza A virus (strain swl A/Sakai/1/2009 H1N1) || 652935 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1090 || Crimean-Congo hemorrhagic fever virus (strain Nigeria/IbAr10200/1970) (CCHFV) || 652961 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1091 || Human klassevirus 1 (HKV-1) || 655603 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1092 || Measles virus (strain Shanghai-191 vaccine) (MeV) || 673322 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1093 || Human torovirus (HuTV) || 67605 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1094 || Torque teno virus (isolate Human/Finland/Hel32/2002) (TTV) (Torque teno virus genotype 6) || 687342 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1095 || Torque teno virus (isolate Human/Germany/KAV/2001) (TTV) || 687345 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1096 || Torque teno virus (isolate Japanese macaque/Japan/Mf-TTV9/2000) (TTV) || 687364 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1097 || Torque teno virus (isolate Human/China/CT23F/2001) (TTV) || 687366 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1098 || Primate bocaparvovirus 1 (strain Human bocavirus 1 type 1) (HBoV1) (Human bocavirus type 1) || 689403 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1099 || Human enterovirus 71 (strain USA/BrCr/1970) (EV71) (EV-71) || 69153 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1100 || Coxsackievirus A16 (strain G-10) || 69159 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1101 || Human cytomegalovirus (strain 1042) (HHV-5) (Human herpesvirus 5) || 69162 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1102 || Human cytomegalovirus (strain 2387) (HHV-5) (Human herpesvirus 5) || 69163 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1103 || Human cytomegalovirus (strain 4654) (HHV-5) (Human herpesvirus 5) || 69164 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1104 || Human cytomegalovirus (strain 5040) (HHV-5) (Human herpesvirus 5) || 69165 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1105 || Human cytomegalovirus (strain 5035) (HHV-5) (Human herpesvirus 5) || 69166 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1106 || Human cytomegalovirus (strain 5160) (HHV-5) (Human herpesvirus 5) || 69167 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1107 || Human cytomegalovirus (strain 5508) (HHV-5) (Human herpesvirus 5) || 69168 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1108 || Human cytomegalovirus (strain PT) (HHV-5) (Human herpesvirus 5) || 69169 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1109 || Severe acute respiratory syndrome coronavirus (SARS-CoV) || 694009 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1110 || Human metapneumovirus (strain CAN97-83) (HMPV) || 694067 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1111 || Measles virus (strain Edmonston B) (MeV) (Subacute sclerose panencephalitis virus) || 70146 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1112 || Measles virus (strain Leningrad-16) (MeV) (Subacute sclerose panencephalitis virus) || 70147 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1113 || Measles virus (strain Philadelphia-26) (MeV) (Subacute sclerose panencephalitis virus) || 70148 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1114 || Measles virus (strain Edmonston-Zagreb vaccine) (MeV) (Subacute sclerose panencephalitis virus) || 70149 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1115 || Tick-borne encephalitis virus (strain Hypr) (TBEV) || 70733 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1116 || Aichi virus (AiV) || 72149 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1117 || Human cytomegalovirus (strain 119) (HHV-5) (Human herpesvirus 5) || 73483 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1118 || Human immunodeficiency virus type 2 subtype A (isolate KR) (HIV-2) || 73484 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1119 || Orf virus (strain NZ7) (OV NZ-7) || 73495 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1120 || Human associated cyclovirus 1 (isolate Homo sapiens/Pakistan/PK5510/2007) (HuCyV-1) (Cyclovirus PK5510) || 742918 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1121 || Torque teno virus 1 (isolate TA278) || 766182 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1122 || Torque teno mini virus 1 (isolate TLMV-CBD279) || 766183 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1123 || Torque teno midi virus 1 (isolate MD1-073) || 766184 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1124 || Dugbe virus (isolate ArD44313) (DUGV) || 766194 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1125 || Bunyavirus La Crosse (isolate Human/United States/L78/1978) || 796210 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1126 || Human papillomavirus type RTRX7 || 79691 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1127 || Human respiratory syncytial virus B (strain B1) || 79692 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1128 || Rotavirus A (isolate RVA/Human/Israel/RO1845/1993/G3P5A[3]) (RV-A) || 79694 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1129 || O&#039;nyong-nyong virus (strain Igbo Ora) (ONNV) (Igbo Ora virus) || 79899 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1130 || Lordsdale virus (strain GII/Human/United Kingdom/Lordsdale/1993) (Human enteric calicivirus) (Hu/NV/LD/1993/UK) || 82658 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1131 || Sapporo virus (strain Human/United Kingdom/Manchester/1993) (Hu/SV/Man/1993/UK) || 82659 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1132 || Epstein-Barr virus (strain P3HR-1) (HHV-4) (Human herpesvirus 4) || 82829 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1133 || Epstein-Barr virus (strain AG876) (HHV-4) (Human herpesvirus 4) || 82830 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1134 || Human immunodeficiency virus type 1 group M subtype B (isolate LW123) (HIV-1) || 82834 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1135 || Human herpesvirus 8 type P (isolate GK18) (HHV-8) (Kaposi&#039;s sarcoma-associated herpesvirus) || 868565 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1136 || Influenza A virus (strain A/Brevig Mission/1/1918 H1N1) (Influenza A virus (strain A/South Carolina/1/1918 H1N1)) || 88776 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1137 || Hepatitis B virus genotype C subtype ayr (isolate Human/Japan/Okamoto/-) (HBV-C) || 928302 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1138 || Hendra virus (isolate Horse/Autralia/Hendra/1994) || 928303 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1139 || Yaba monkey tumor virus (strain VR587) (YMTV) || 928314 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1140 || Influenza A virus (strain A/Goose/Guangdong/1/1996 H5N1 genotype Gs/Gd) || 93838 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1141 || Influenza B virus (strain B/Memphis/3/1989) || 98827 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1142 || Influenza B virus (strain B/Memphis/12/1997) || 98832 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1143 || SFTS phlebovirus (isolate SFTSV/Human/China/HB29/2010) (Severe fever with thrombocytopenia virus) || 992212 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1144 || Chiba virus (strain GI/Human/Japan/Chiba 407/1987) (Hu/NLV/Chiba 407/1987/JP) || 99565 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1145 || Aigai virus || 2849717 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1146 || Alenquer virus || 629726 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1147 || Anelloviridae sp. || 2055263 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1148 || Aura virus || 44158 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1149 || Banna virus || 77763 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1150 || Banzi virus || 38837 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1151 || Barmah Forest virus || 11020 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1152 || Batai virus || 80942 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1153 || Bhanja virus || 1213620 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1154 || Borna disease virus 1 || 1714621 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1155 || Bourbon virus || 1618189 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1156 || Bovine papular stomatitis virus || 129727 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1157 || Bundibugyo virus || 565995 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1158 || Bólè tick virus 3 || 1608042 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1159 || Běijí nairovirus || 2304647 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1160 || Cache Valley virus || 80935 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1161 || Caraparú virus || 192196 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1162 || Cardamones virus || 1437125 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1163 || Catú virus || 1678225 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1164 || Chagres virus || 629727 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1165 || Chandipura virus || 11272 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1166 || Chicken anemia virus || 12618 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1167 || Choclo virus || 169173 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1168 || Coclé virus || 1649829 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1169 || Colorado tick fever virus || 46839 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1170 || Ebola virus || 1570291 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1171 || Echarate virus || 1000646 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1172 || Ekpoma virus 1 || 1987020 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1173 || Ekpoma virus 2 || 1987021 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1174 || European bat lyssavirus 1 || 57482 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1175 || European bat lyssavirus 2 || 57483 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1176 || Fort Sherman virus || 273345 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1177 || GB virus-B || 2847087 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1178 || Gemycircularvirus sp. || 1983771 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1179 || Gibbon ape leukemia virus || 11840 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1180 || Guaroa virus || 80941 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1181 || Heartland virus || 1216928 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1182 || Human circovirus VS6600022 || 1525173 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1183 || Human genital-associated circular DNA virus-1 || 1488574 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1184 || Ilesha virus || 273341 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1185 || Ilhéus virus || 59563 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1186 || Ingwavuma virus || 159145 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1187 || JC polyomavirus || 10632 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1188 || Jamestown Canyon virus || 35511 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1189 || Japanese encephalitis virus || 11072 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1190 || Kadipiro virus || 104580 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1191 || Keystone virus || 35514 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1192 || Kyasanur Forest disease virus || 33743 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1193 || LI polyomavirus || 1965344 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1194 || La Crosse virus || 11577 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1195 || Langat virus || 11085 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1196 || Le Dantec virus || 318848 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1197 || Lángyá virus || 2971765 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1198 || MW polyomavirus || 1203539 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1199 || Madrid virus || 348013 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1200 || Maguari virus || 11575 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1201 || Maldonado virus || 1004889 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1202 || Marituba virus || 292278 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1203 || Mayaro virus || 59301 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1204 || Melao virus || 35515 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1205 || Merkel cell polyomavirus || 493803 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1206 || Middelburg virus || 11023 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1207 || Middle East respiratory syndrome-related coronavirus || 1335626 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1208 || Moloney murine leukemia virus || 11801 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1209 || Mundri virus || 2913478 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1210 || Murray Valley encephalitis virus || 11079 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1211 || Nairobi sheep disease virus || 194540 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1212 || Nelson Bay orthoreovirus || 118027 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1213 || Ngari virus || 273357 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1214 || Norwalk virus || 11983 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1215 || Omsk hemorrhagic fever virus || 12542 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1216 || Oriboca virus || 192199 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1217 || Oropouche virus || 118655 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1218 || Orungo virus || 40058 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1219 || Oya virus || 181003 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1220 || Powassan virus || 11083 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1221 || Punta Toro virus || 11587 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1222 || Rift Valley fever virus || 11588 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1223 || Ross River virus || 11029 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1224 || SAfia-838D_Ambidensovirus || 3070158 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1225 || STL polyomavirus || 1277649 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1226 || Sabiá virus || 2907957 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1227 || Sapporo virus || 95342 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1228 || Semliki Forest virus || 11033 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1229 || Sindbis virus || 11034 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1230 || Sosuga virus || 1452514 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1231 || St. Louis encephalitis virus || 11080 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1232 || Sōnglǐng virus || 2795181 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1233 || TTV-like mini virus || 93678 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1234 || Tacaiuma virus || 611707 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1235 || Tahyňa virus || 45270 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1236 || Tanapox virus || 99000 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1237 || Tataguine virus || 1623310 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1238 || Tembusu virus || 64293 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1239 || Toscana virus || 11590 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1240 || Trichodysplasia spinulosa-associated polyomavirus || 862909 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1241 || Tǎchéng tick virus 1 || 1608083 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1242 || Tǎchéng tick virus 2 || 1608084 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1243 || Tǎchéng tick virus 5 || 1608087 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1244 || Umbre virus || 552554 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1245 || Usutu virus || 64286 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1246 || WU polyomavirus || 440266 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1247 || Wesselsbron virus || 164416 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1248 || Yezo virus || 2825847 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1249 || Zika virus || 64320 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1250 || adeno-associated virus 2 || 10804 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1251 || avastrovirus 2 || 1239438 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1252 || avian gyrovirus 2 || 1002273 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1253 || avian paramyxovirus 1 || 2560319 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1254 || bovine leukemia virus || 11901 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1255 || bovine parvovirus 3 || 172297 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1256 || bovine viral diarrhea virus 1 || 11099 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1257 || bovine viral diarrhea virus 2 || 54315 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1258 || camelpox virus || 28873 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1259 || chimpanzee smacovirus || 1603067 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1260 || cosavirus A1 || 2757769 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1261 || cosavirus B1 || 2849707 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1262 || cosavirus D1 || 586468 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1263 || cosavirus E1 || 2849712 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1264 || cosavirus F1 || 2849713 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1265 || cowpox virus || 10243 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1266 || coxsackievirus A2 || 33757 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1267 || coxsackievirus B3 || 12072 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1268 || dengue virus || 12637 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1269 || ectromelia virus || 12643 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1270 || enterovirus D68 || 42789 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1271 || equine torovirus || 329862 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1272 || gyrovirus 4 || 1214955 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1273 || gyrovirus GyV3 || 1163715 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1274 || gyrovirus Tu243 || 1415627 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1275 || gyrovirus Tu789 || 1415628 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1276 || hepatitis D virus 1 || 2847173 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1277 || hepatitis D virus 2 || 2847174 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1278 || hepatitis D virus 3 || 2847175 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1279 || hepatitis D virus 4 || 2847176 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1280 || hepatitis E virus || 291484 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1281 || human adenovirus 40 || 28284 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1282 || human adenovirus 52 || 332179 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1283 || human associated cyclovirus 1 || 2038719 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1284 || human associated cyclovirus 10 || 2038728 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1285 || human associated cyclovirus 11 || 1987745 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1286 || human associated cyclovirus 12 || 2169855 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1287 || human associated cyclovirus 2 || 2038720 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1288 || human associated cyclovirus 3 || 2038721 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1289 || human associated cyclovirus 4 || 2038722 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1290 || human associated cyclovirus 5 || 2038723 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1291 || human associated cyclovirus 6 || 2038724 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1292 || human associated cyclovirus 7 || 2038725 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1293 || human associated cyclovirus 8 || 2038726 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1294 || human associated cyclovirus 9 || 2038727 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1295 || human associated gemykibivirus 1 || 2004487 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1296 || human associated gemykibivirus 2 || 2004957 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1297 || human associated gemykibivirus 3 || 2004960 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1298 || human associated gemykibivirus 4 || 2004961 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1299 || human associated gemykibivirus 5 || 2004962 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1300 || human associated gemyvongvirus 1 || 1985415 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1301 || human associated porprismacovirus || 2530494 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1302 || human associated porprismacovirus 3 || 2496633 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1303 || human bocavirus 1 || 689403 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1304 || human bocavirus 2c || 2773471 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1305 || human circovirus 1 || 3025750 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1306 || human feces smacovirus 2 || 1820158 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1307 || human feces smacovirus 3 || 1820159 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1308 || human metapneumovirus || 162145 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1309 || human papillomavirus 10 || 333759 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1310 || human papillomavirus 101 || 915425 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1311 || human papillomavirus 109 || 915426 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1312 || human papillomavirus 112 || 915427 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1313 || human papillomavirus 116 || 915428 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1314 || human papillomavirus 121 || 915429 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1315 || human papillomavirus 126 || 1055684 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1316 || human papillomavirus 127 || 746832 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1317 || human papillomavirus 128 || 931209 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1318 || human papillomavirus 131 || 909330 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1319 || human papillomavirus 135 || 1070408 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1320 || human papillomavirus 137 || 1070410 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1321 || human papillomavirus 144 || 1070417 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1322 || human papillomavirus 156 || 1248396 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1323 || human papillomavirus 16 || 333760 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1324 || human papillomavirus 163 || 1315262 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1325 || human papillomavirus 167 || 1420545 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1326 || human papillomavirus 172 || 1434987 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1327 || human papillomavirus 175 || 1434782 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1328 || human papillomavirus 178 || 1478160 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1329 || human papillomavirus 18 || 333761 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1330 || human papillomavirus 184 || 1472343 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1331 || human papillomavirus 187 || 1851130 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1332 || human papillomavirus 201 || 1682340 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1333 || human papillomavirus 204 || 1650736 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1334 || human papillomavirus 32 || 333763 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1335 || human papillomavirus 49 || 10616 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1336 || human papillomavirus 71 || 120686 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1337 || human papillomavirus 88 || 337054 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1338 || human papillomavirus 92 || 211787 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1339 || human papillomavirus 96 || 247269 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1340 || human parainfluenza virus 4a || 11224 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1341 || human parvovirus 4 || 289365 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1342 || human parvovirus B19 || 10798 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1343 || human pegivirus || 1758225 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1344 || human polyomavirus 6 || 746830 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1345 || human polyomavirus 7 || 746831 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1346 || human polyomavirus 9 || 943908 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1347 || human respiratory-associated brisavirus || 3116878 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1348 || human smacovirus 1 || 1595998 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1349 || influenza A virus || 11320 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1350 || influenza C virus || 11552 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1351 || louping ill virus || 11086 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1352 || mamastrovirus 1 || 1239565 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1353 || mamastrovirus 5 || 1239569 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1354 || mamastrovirus 6 || 1239570 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1355 || mamastrovirus 8 || 1239572 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1356 || mamastrovirus 9 || 1239573 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1357 || mammalian orthoreovirus 3 || 538123 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1358 || molluscum contagiosum virus || 10279 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1359 || mouse mammary tumor virus || 11757 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1360 || orf virus || 10258 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1361 || parainfluenza virus 5 || 2905673 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1362 || poliovirus 1 || 12080 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1363 || porcine circovirus 1 || 133704 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1364 || porcine circovirus 2 || 85708 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1365 || porcine coronavirus HKU15 || 1159905 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1366 || porcine torovirus || 237020 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1367 || primate T-lymphotropic virus 1 || 194440 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1368 || primate T-lymphotropic virus 2 || 194441 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1369 || primate T-lymphotropic virus 3 || 194443 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1370 || pseudocowpox virus || 129726 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1371 || rat hepatitis E virus || 2848048 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1372 || rhinovirus A1 || 573824 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1373 || rhinovirus B3 || 44130 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1374 || rhinovirus C1 || 1219416 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1375 || rosavirus A2 || 1511807 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1376 || rotavirus A || 28875 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1377 || rotavirus B || 28876 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1378 || rotavirus C || 36427 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1379 || rotavirus H || 1348384 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1380 || rubella virus || 11041 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1381 || salivirus A1 || 2847280 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1382 || sandfly fever Naples virus || 206160 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1383 || sandfly fever Sicilian virus || 28292 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1384 || severe acute respiratory syndrome coronavirus || 2901879 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1385 || severe fever with thrombocytopenia syndrome virus || 1003835 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1386 || simian foamy virus Pan troglodytes schweinfurthii || 2849769 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1387 || simian foamy virus Pan troglodytes troglodytes || 2849770 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1388 || simian immunodeficiency virus || 11723 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1389 || simian parvovirus || 31598 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1390 || tick-borne encephalitis virus || 11084 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1391 || torque teno midi virus 1 || 687379 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1392 || torque teno midi virus 10 || 2065051 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1393 || torque teno midi virus 11 || 2065052 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1394 || torque teno midi virus 12 || 2065053 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1395 || torque teno midi virus 13 || 2065054 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1396 || torque teno midi virus 14 || 2065055 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1397 || torque teno midi virus 15 || 2065056 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1398 || torque teno midi virus 2 || 687380 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1399 || torque teno midi virus 3 || 2065044 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1400 || torque teno midi virus 4 || 2065045 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1401 || torque teno midi virus 5 || 2065046 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1402 || torque teno midi virus 6 || 2065047 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1403 || torque teno midi virus 7 || 2065048 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1404 || torque teno midi virus 8 || 2065049 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1405 || torque teno midi virus 9 || 2065050 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1406 || torque teno mini virus 1 || 687369 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1407 || torque teno mini virus 10 || 2065036 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1408 || torque teno mini virus 11 || 2065037 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1409 || torque teno mini virus 12 || 2065038 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1410 || torque teno mini virus 18 || 1859149 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1411 || torque teno mini virus 2 || 687370 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1412 || torque teno mini virus 3 || 687371 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1413 || torque teno mini virus 4 || 687372 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1414 || torque teno mini virus 5 || 687373 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1415 || torque teno mini virus 6 || 687374 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1416 || torque teno mini virus 7 || 687375 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1417 || torque teno mini virus 8 || 687376 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1418 || torque teno mini virus 9 || 687377 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1419 || torque teno mini virus ALA22 || 1535290 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1420 || torque teno mini virus ALH8 || 1535291 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1421 || torque teno mini virus SHA || 2057931 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1422 || torque teno virus || 68887 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1423 || torque teno virus 1 || 687340 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1424 || torque teno virus 10 || 687349 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1425 || torque teno virus 13 || 687352 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1426 || torque teno virus 15 || 687354 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1427 || torque teno virus 17 || 687356 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1428 || torque teno virus 18 || 687357 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1429 || torque teno virus 19 || 687358 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1430 || torque teno virus 2 || 687341 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1431 || torque teno virus 20 || 687359 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1432 || torque teno virus 21 || 687360 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1433 || torque teno virus 24 || 687363 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1434 || torque teno virus 29 || 687368 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1435 || torque teno virus 3 || 687342 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1436 || torque teno virus 5 || 687344 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1437 || torque teno virus 6 || 687345 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1438 || torque teno virus 7 || 687346 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1439 || torque teno virus 9 || 687348 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1440 || transmissible gastroenteritis virus || 11149 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1441 || variegated squirrel bornavirus 1 || 1885248 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1442 || vesicular exanthema of swine virus || 35612 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1443 || vesicular stomatitis Indiana virus || 11277 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1444 || yellow fever virus || 11089 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1445 || Enterovirus D || 138951 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1446 || Human mastadenovirus C || 129951 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1447 || Human mastadenovirus D || 130310 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1448 || Human mastadenovirus E || 130308 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1449 || Human orthorubulavirus 2 || 2560525 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1450 || Human orthorubulavirus 4 || 2560526 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1451 || Human parainfluenza virus 4b || 11226 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1452 || Human Respiratory syncytial virus 9320 || 253182 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1453 || Human respiratory syncytial virus A || 208893 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1454 || Human respiratory syncytial virus B || 208895 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1455 || Human respirovirus 1 || 12730 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1456 || Human respirovirus 3 || 11216 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1457 || rhinovirus A || 147711 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1458 || rhinovirus A101 || 1219381 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1459 || rhinovirus A103 || 1033850 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1460 || rhinovirus A105 || 2777143 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1461 || rhinovirus A11 || 39767 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1462 || rhinovirus A12 || 147684 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1463 || rhinovirus A13 || 185893 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1464 || rhinovirus A1B || 2777147 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1465 || rhinovirus A2 || 12130 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1466 || rhinovirus A20 || 147675 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1467 || rhinovirus A21 || 44128 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1468 || rhinovirus A22 || 185896 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1469 || rhinovirus A23 || 12135 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1470 || rhinovirus A24 || 185897 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1471 || rhinovirus A25 || 185898 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1472 || rhinovirus A28 || 147672 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1473 || rhinovirus A29 || 44129 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1474 || rhinovirus A30 || 185901 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1475 || rhinovirus A31 || 185902 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1476 || rhinovirus A34 || 185905 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1477 || rhinovirus A39 || 185907 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1478 || rhinovirus A40 || 185908 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1479 || rhinovirus A46 || 167324 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1480 || rhinovirus A47 || 185911 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1481 || rhinovirus A49 || 44131 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1482 || rhinovirus A53 || 185913 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1483 || rhinovirus A54 || 185914 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1484 || rhinovirus A58 || 44133 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1485 || rhinovirus A59 || 185918 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1486 || rhinovirus A60 || 185919 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1487 || rhinovirus A61 || 185920 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1488 || rhinovirus A63 || 185921 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1489 || rhinovirus A66 || 185923 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1490 || rhinovirus A67 || 185924 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1491 || rhinovirus A68 || 185925 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1492 || rhinovirus A78 || 147685 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1493 || rhinovirus A80 || 185934 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1494 || rhinovirus A85 || 185937 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1495 || rhinovirus A9 || 185891 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1496 || rhinovirus A94 || 185941 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1497 || rhinovirus B || 147712 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1498 || rhinovirus B100 || 2777136 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1499 || rhinovirus B101 || 2777137 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1500 || rhinovirus B14 || 12131 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1501 || rhinovirus B27 || 185900 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1502 || rhinovirus B4 || 185889 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1503 || rhinovirus B42 || 147683 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1504 || rhinovirus B6 || 147681 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1505 || rhinovirus B70 || 185926 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1506 || rhinovirus B91 || 167325 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1507 || rhinovirus C || 463676 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1508 || rhinovirus C11 || 1240004 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1509 || rhinovirus C13 || 2777132 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1510 || rhinovirus C15 || 1418033 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1511 || rhinovirus C17 || 1219404 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1512 || rhinovirus C19 || 1418043 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1513 || rhinovirus C2 || 1219376 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1514 || rhinovirus C20 || 1418062 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1515 || rhinovirus C23 || 2045067 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1516 || rhinovirus C26 || 2045069 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1517 || rhinovirus C28 || 1418042 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1518 || rhinovirus C3 || 1219377 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1519 || rhinovirus C31 || 2045073 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1520 || rhinovirus C33 || 2045074 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1521 || rhinovirus C34 || 2045075 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1522 || rhinovirus C36 || 1418041 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1523 || rhinovirus C40 || 1219406 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1524 || rhinovirus C42 || 1219407 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1525 || rhinovirus C43 || 1219413 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1526 || rhinovirus C44 || 2045079 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1527 || rhinovirus C55 || 2555550 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1528 || rhinovirus C56 || 2094116 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1529 || rhinovirus C6 || 1219378 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1530 || rhinovirus C7 || 1219379 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1531 || rhinovirus C8 || 1219380 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1532 || rhinovirus C9 || 1220265 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1533 || Orthomarburgvirus marburgense || 3052505 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1534 || Orthonairovirus haemorrhagiae || 3052518 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1535 || Orthonairovirus yezoense || 3060506 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1536 || Sudan ebolavirus || 186540 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1537 || Tai Forest ebolavirus || 186541 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1538 || Zaire ebolavirus || 186538 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1539 || Betapolyomavirus tertihominis || 1891764 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1540 || Cardiovirus B || 1821750 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1541 || Coxsackievirus A16 || 31704 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1542 || Coxsackievirus A21 || 12069 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1543 || Coxsackievirus A4 || 42785 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1544 || Coxsackievirus A6 || 86107 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1545 || Coxsackievirus A9 || 12067 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1546 || Coxsackievirus B1 || 12071 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1547 || Coxsackievirus B2 || 82639 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1548 || Coxsackievirus B4 || 12073 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1549 || Coxsackievirus B5 || 12074 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1550 || dengue virus type 1 || 11053 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1551 || dengue virus type 3 || 11069 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1552 || Eastern equine encephalitis virus || 11021 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1553 || Echovirus E11 || 12078 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1554 || Echovirus E16 || 47504 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1555 || Echovirus E18 || 47506 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1556 || Echovirus E25 || 45101 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1557 || Echovirus E30 || 41846 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1558 || Echovirus E31 || 47513 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1559 || Echovirus E4 || 35295 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1560 || Echovirus E6 || 12062 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1561 || Echovirus E7 || 46018 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1562 || Echovirus E9 || 12060 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1563 || Hepatovirus A || 12092 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1564 || Human adenovirus 1 || 10533 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1565 || Human adenovirus 106 || 3025491 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1566 || Human adenovirus 108 || 3043599 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1567 || Human adenovirus 11 || 10541 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1568 || Human adenovirus 14 || 10521 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1569 || Human adenovirus 21 || 32608 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1570 || Human adenovirus 31 || 10529 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1571 || Human adenovirus 34 || 10548 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1572 || Human adenovirus 35 || 10522 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1573 || Human adenovirus 41 || 10524 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1574 || Human adenovirus 51 || 245072 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1575 || Human adenovirus 56 || 880565 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1576 || Human adenovirus 6 || 10534 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1577 || Human adenovirus 64 || 1145295 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1578 || Human adenovirus 7 || 10519 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1579 || Human adenovirus 89 || 3033760 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1580 || Human adenovirus B3 || 45659 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1581 || Human adenovirus C108 || 3088344 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1582 || Human adenovirus D37 || 52275 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1583 || Human betaherpesvirus 5 || 10359 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1584 || human gammaherpesvirus 4 || 10376 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1585 || Human parechovirus 1B || 3092269 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1586 || Lyssavirus rabies || 11292 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1587 || Marburg virus || 33727 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1588 || Measles virus genotype B3 || 658048 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1589 || Measles virus genotype D8 || 170528 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1590 || Metapneumovirus hominis || 694067 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1591 || Morbillivirus hominis || 3052345 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1592 || Mumps virus genotype G || 1384672 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1593 || Norovirus GII || 122929 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1594 || Orthoflavivirus encephalitidis || 3052465 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1595 || Orthoflavivirus nilense || 3048448 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1596 || Orthopoxvirus monkeypox || 3431483 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1597 || Respiratory syncytial virus type A || 1439707 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1598 || Roseomonas sp. FDAARGOS_362 || 2018065 ||  || FDA-ARGOS || &lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Eukaryotic Pathogens ==&lt;br /&gt;
&amp;lt;div style=&amp;quot;height: 500px; overflow-y: auto;&amp;quot;&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
! # !! Organism Name !! NCBI_taxid !! Source_NIAID !! Source_ARGOS !! Source_WHO&lt;br /&gt;
|-&lt;br /&gt;
| 1 || Coccidioides immitis || 5501 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 2 || Coccidioides posadasii || 199306 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 3 || Microsporidia || 6029 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 4 || Mucorales || 4827 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 5 || Balamuthia mandrillaris || 66527 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 6 || Cryptosporidium parvum || 5807 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 7 || Cyclospora cayetanensis || 88456 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 8 || Entamoeba histolytica || 5759 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 9 || Giardia lamblia || 5741 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 10 || Naegleria fowleri || 5763 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 11 || Toxoplasma gondii || 5811 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 12 || Aspergillus flavus || 5059 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 13 || Aspergillus fumigatus || 746128 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 14 || Blastomyces dermatitidis || 559297 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 15 || Candida albicans || 5476 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 16 || Candida parapsilosis || 5480 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 17 || Candidozyma auris || 498019 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 18 || Fusarium acuminatum || 5515 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 19 || Fusarium avenaceum || 40199 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 20 || Fusarium culmorum || 5516 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 21 || Fusarium graminearum || 5518 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 22 || Fusarium meridionale || 282269 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 23 || Fusarium odoratissimum || 2502994 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 24 || Fusarium oxysporum || 327505 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 25 || Fusarium oxysporum f. sp. albedinis || 72712 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 26 || Fusarium oxysporum f. sp. cepae || 396571 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 27 || Fusarium phialophorum || 2750198 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 28 || Fusarium pseudograminearum || 101028 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 29 || Fusarium verticillioides || 117187 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 30 || Fusobacteria necrophorum || 143387 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 31 || Nakaseomyces glabratus(Candida glabrata) || 5478 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 32 || Rhizopus delemar || 246409 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 33 || Rhizopus microsporus || 58291 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 34 || Rhizopus microsporus var. microsporus || 86635 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 35 || Actinomyces naeslundii || 1655 ||  ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 36 || Actinomyces oris || 544580 ||  ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 37 || Aspergillus niger || 5061 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 38 || Saccharomyces cerevisiae || 4932 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 39 || Cryptococcus neoformans || 5207 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 40 || Histoplasma spp. || 5036 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 41 || Candida tropicalis || 5482 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 42 || Scedosporium || 41687 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 43 || Lomentospora prolificans || 41688 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 44 || Pichia kudriavzevii(Candida krusei) || 4909 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 45 || Cryptococcus gattii || 37769 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 46 || Talaromyces marneffei || 37727 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 47 || Pneumocystis jirovecii || 42068 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 48 || Pneumocystis jirovecii RU7 || 1408657 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 49 || Paracoccidioides || 38946 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|}&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Comprehensive_Pathogenic_Organisms_Reference&amp;diff=1238</id>
		<title>Comprehensive Pathogenic Organisms Reference</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Comprehensive_Pathogenic_Organisms_Reference&amp;diff=1238"/>
		<updated>2026-04-08T14:09:27Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page provides a comprehensive reference table of human pathogenic organisms, including bacteria, viruses, and eukaryotic pathogens. The table integrates data from multiple curated sources and includes taxonomic identifiers and classification information for downstream analysis and database integration. The current dataset comprises 1,705 bacterial species, 1598 viral species, and 49 fungal and other eukaryotic organisms. You can browse and review the contents of this dataset on this wiki page. To download or work with the full file, it is available on [https://github.com/FDA-ARGOS/data.argosdb/blob/main/data_files/HumanPathogens_Comprehensive.xlsx GitHub].&lt;br /&gt;
&lt;br /&gt;
Pathogen names were collected and standardized using data from the following sources.&lt;br /&gt;
&lt;br /&gt;
# FDA-ARGOS&lt;br /&gt;
# PMID: 36748702 __TOC__&lt;br /&gt;
&lt;br /&gt;
== Bacterial Pathogens ==&lt;br /&gt;
&amp;lt;div style=&amp;quot;height: 500px; overflow-y: auto;&amp;quot;&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
! # !! Organism Name !! NCBI_taxid !! Source_PMID !! Source_ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1 || Abiotrophia defectiva || 46125 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 2 || Abiotrophia elegans || 137732 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 3 || Acetobacter cibinongensis || 146475 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 4 || Acetobacter indonesiensis || 104101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 5 || Acholeplasma oculi || 35623 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 6 || Achromobacter aegrifaciens || 1287736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 7 || Achromobacter animicus || 1389935 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 8 || Achromobacter anxifer || 1287737 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 9 || Achromobacter denitrificans || 32002 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 10 || Achromobacter dolens || 1287738 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 11 || Achromobacter insolitus || 217204 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 12 || Achromobacter insuavis || 1287735 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 13 || Achromobacter marplatensis || 470868 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 14 || Achromobacter mucicolens || 1389922 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 15 || Achromobacter piechaudii || 72556 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 16 || Achromobacter pulmonis || 1389932 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 17 || Achromobacter ruhlandii || 72557 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 18 || Achromobacter spanius || 217203 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 19 || Achromobacter spiritinus || 470868 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 20 || Achromobacter xylosoxidans || 85698 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 21 || Acidaminococcus fermentans || 905 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 22 || Acidomonas methanolica || 437 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 23 || Acidovorax oryzae || 862720 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 24 || Acinetobacter baumannii || 470 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 25 || Acinetobacter baylyi || 202950 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 26 || Acinetobacter beijerinckii || 262668 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 27 || Acinetobacter bereziniae || 106648 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 28 || Acinetobacter calcoaceticus || 471 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 29 || Acinetobacter guillouiae || 106649 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 30 || Acinetobacter gyllenbergii || 134534 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 31 || Acinetobacter haemolyticus || 29430 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 32 || Acinetobacter johnsonii || 40214 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 33 || Acinetobacter junii || 40215 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 34 || Acinetobacter lwoffii || 28090 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 35 || Acinetobacter nosocomialis || 106654 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 36 || Acinetobacter parvus || 134533 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 37 || Acinetobacter pittii || 48296 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 38 || Acinetobacter radioresistens || 40216 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 39 || Acinetobacter schindleri || 108981 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 40 || Acinetobacter seifertii || 1530123 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 41 || Acinetobacter septicus || 465797 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 42 || Acinetobacter ursingii || 108980 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 43 || Acinetobacter variabilis || 70346 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 44 || Actinobacillus equuli || 718 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 45 || Actinobacillus hominis || 719 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 46 || Actinobacillus lignieresii || 720 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 47 || Actinobacillus pleuropneumoniae || 715 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 48 || Actinobacillus suis || 716 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 49 || Actinobacillus ureae || 723 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 50 || Actinobaculum massiliae || 202789 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 51 || Actinobaculum massiliense || 202789 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 52 || Actinobaculum schaalii || 59505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 53 || Actinobaculum urinale || 190146 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 54 || Actinomadura chibensis || 392828 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 55 || Actinomadura madurae || 1993 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 56 || Actinomadura mexicana || 134959 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 57 || Actinomadura meyerae || 240840 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 58 || Actinomadura pelletieri || 111805 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 59 || Actinomadura sputi || 589159 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 60 || Actinomyces bovis || 1658 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 61 || Actinomyces cardiffensis || 181487 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 62 || Actinomyces dentalis || 272548 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 63 || Actinomyces europaeus || 66228 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 64 || Actinomyces funkei || 132933 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 65 || Actinomyces georgiae || 52768 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 66 || Actinomyces gerencseriae || 52769 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 67 || Actinomyces graevenitzii || 55565 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 68 || Actinomyces hominis || 595468 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 69 || Actinomyces hongkongensis || 178339 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 70 || Actinomyces israelii || 1659 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 71 || Actinomyces johnsonii || 544581 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 72 || Actinomyces massiliensis || 461393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 73 || Schaalia meyeri(Actinomyces meyeri) || 52773 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 74 || Actinomyces naeslundii || 1655 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 75 || Winkia neuii(Actinomyces neuii) || 33007 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 76 || Actinomyces odontolyticus || 1660 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 77 || Actinomyces oricola || 206043 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 78 || Actinomyces oris || 544580 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 79 || Actinomyces radicidentis || 111015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 80 || Schaalia radingae(Actinomyces radingae) || 131110 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 81 || Actinomyces timonensis || 1288391 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 82 || Schaalia turicensis(Actinomyces turicensis) || 131111 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 83 || Actinomyces urinae || 1689268 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 84 || Actinomyces urogenitalis || 103621 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 85 || Actinomyces viscosus || 1656 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 86 || Actinotignum sanguinis || 1445614 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 87 || Actinotignum schaalii || 59505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 88 || Actinotignum urinale || 190146 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 89 || Advenella incenata || 267800 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 90 || Aerococcus christensenii || 87541 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 91 || Aerococcus sanguicola || 119206 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 92 || Aerococcus urinae || 1376 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 93 || Aerococcus viridans || 1377 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 94 || Aeromonas aquariorum || 196024 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 95 || Aeromonas caviae || 648 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 96 || Aeromonas dhakensis || 196024 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 97 || Aeromonas hydrophila || 644 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 98 || Aeromonas jandaei || 650 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 99 || Aeromonas salmonicida || 645 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 100 || Aeromonas sanarellii || 633415 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 101 || Aeromonas schubertii || 652 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 102 || Aeromonas sobria || 646 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 103 || Aeromonas taiwanensis || 633417 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 104 || Aeromonas tecta || 324617 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 105 || Aeromonas veronii || 654 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 106 || Afipia broomeae || 56946 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 107 || Afipia clevelandensis || 1034 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 108 || Afipia felis || 1035 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 109 || Aggregatibacter actinomycetemcomitans || 714 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 110 || Aggregatibacter aphrophilus || 732 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 111 || Aggregatibacter segnis || 739 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 112 || Agrobacterium tumefaciens || 358 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 113 || Alcaligenes denitrificans || 32002 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 114 || Alcaligenes faecalis || 511 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 115 || Alcaligenes odorans || 32001 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 116 || Alcaligenes piechaudii || 72556 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 117 || Alistipes finegoldii || 214856 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 118 || Alistipes indistinctus || 626932 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 119 || Alistipes onderdonkii || 328813 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 120 || Alistipes shahii || 328814 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 121 || Alkanindiges hongkongensis || 208968 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 122 || Alloiococcus otitis || 1652 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 123 || Alloprevotella rava || 671218 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 124 || Alloprevotella tannerae || 76122 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 125 || Alloscardovia omnicolens || 419015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 126 || Amycolatopsis benzoatilytica || 346045 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 127 || Amycolatopsis orientalis || 31958 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 128 || Amycolatopsis palatopharyngis || 187982 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 129 || Anaerobiospirillum succiniciproducens || 13335 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 130 || Anaerobiospirillum thomasii || 179995 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 131 || Anaerococcus degenerii || 361500 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 132 || Anaerococcus lactolyticus || 33032 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 133 || Anaerococcus murdochii || 411577 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 134 || Anaerococcus nagyae || 1755241 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 135 || Anaerococcus octavius || 54007 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 136 || Anaerococcus prevotii || 33034 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 137 || Anaerococcus vaginalis || 33037 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 138 || Anaeroglobus geminatus || 156456 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 139 || Anaerostipes caccae || 105841 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 140 || Anaplasma phagocytophilum || 948 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 141 || Anaplasma platys || 949 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 142 || Aquimonas voraii || 265719 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 143 || Arcanobacterium bernardiae || 59561 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 144 || Arcanobacterium haemolyticum || 28264 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 145 || Arcanobacterium pyogenes || 1661 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 146 || Arcobacter butzleri || 28197 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 147 || Arcobacter cryaerophilus || 28198 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 148 || Arcobacter skirrowii || 28200 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 149 || Arthrobacter albus || 98671 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 150 || Arthrobacter luteolus || 98672 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 151 || Arthrobacter scleromae || 158897 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 152 || Arthrobacter woluwensis || 156980 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 153 || Asaia bogorensis || 91915 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 154 || Asaia lannensis || 415421 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 155 || Atlantibacter hermannii || 565 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 156 || Atopobium deltae || 1393034 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 157 || Atopobium minutum || 1381 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 158 || Atopobium rimae || 1383 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 159 || Atopobium vaginae || 82135 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 160 || Aureimonas altamirensis || 370622 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 161 || Auritidibacter ignavus || 678932 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 162 || Bacillus anthracis || 1392 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 163 || Bacillus cereus || 1396 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 164 || Bacillus circulans || 1397 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 165 || Bacillus coagulans || 1398 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 166 || Bacillus cytotoxicus || 580165 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 167 || Bacillus idriensis || 324768 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 168 || Bacillus infantis || 324767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 169 || Bacillus licheniformis || 1402 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 170 || Bacillus massiliensis || 292806 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 171 || Bacillus mycoides || 1405 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 172 || Bacillus pumilus || 1408 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 173 || Bacillus sphaericus || 1421 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 174 || Bacillus subtilis || 1423 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 175 || Bacillus thuringiensis || 1428 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 176 || Bacteroides caccae || 47678 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 177 || Bacteroides coagulans || 46507 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 178 || Bacteroides denticanum || 266833 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 179 || Bacteroides distasonis || 823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 180 || Bacteroides eggerthii || 28111 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 181 || Bacteroides faecis || 674529 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 182 || Bacteroides fluxus || 626930 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 183 || Bacteroides forsythus || 28112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 184 || Bacteroides fragilis || 817 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 185 || Bacteroides galacturonicus || 384639 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 186 || Bacteroides gracilis || 824 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 187 || Bacteroides heparinolyticus || 28113 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 188 || Bacteroides massiliensis || 204516 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 189 || Bacteroides merdae || 46503 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 190 || Bacteroides nordii || 291645 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 191 || Bacteroides ovatus || 28116 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 192 || Bacteroides pectinophilus || 384638 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 193 || Bacteroides pyogenes || 310300 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 194 || Bacteroides salyersiae || 291644 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 195 || Bacteroides splanchnicus || 28118 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 196 || Bacteroides stercoris || 46506 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 197 || Bacteroides thetaiotaomicron || 818 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 198 || Bacteroides uniformis || 820 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 199 || Bacteroides ureolyticus || 827 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 200 || Phocaeicola vulgatus(Bacteroides vulgatus) || 821 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 201 || Bacteroides zoogleoformans || 28119 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 202 || Balneatrix alpica || 75684 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 203 || Bartonella alsatica || 52764 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 204 || Bartonella ancashensis || 1318743 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 205 || Bartonella bacilliformis || 774 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 206 || Bartonella elizabethae || 807 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 207 || Bartonella grahamii || 33045 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 208 || Bartonella henselae || 38323 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 209 || Bartonella koehlerae || 92181 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 210 || Bartonella mayotimonensis || 572280 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 211 || Bartonella melophagi || 291176 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 212 || Bartonella quintana || 803 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 213 || Bartonella tamiae || 373638 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 214 || Bartonella vinsonii || 33047 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 215 || Candidatus Bartonella washoeensis&amp;lt;br&amp;gt;(Bartonella washoensis) || 186739 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 216 || Bergeyella cardium || 1585976 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 217 || Bergeyella zoohelcum || 1015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 218 || Bifidobacterium denticolens || 78258 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 219 || Bifidobacterium dentium || 1689 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 220 || Bifidobacterium inopinatum || 78259 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 221 || Bifidobacterium scardovii || 158787 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 222 || Bilophila wadsworthia || 35833 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 223 || Bisgaardia hudsonensis || 109472 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 224 || Bordetella ansorpii || 288768 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 225 || Bordetella avium || 521 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 226 || Bordetella bronchialis || 463025 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 227 || Bordetella bronchiseptica || 518 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 228 || Bordetella flabilis || 463014 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 229 || Bordetella hinzii || 103855 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 230 || Bordetella holmesii || 35814 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 231 || Bordetella parapertussis || 519 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 232 || Bordetella pertussis || 520 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 233 || Bordetella petrii || 94624 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 234 || Bordetella sputigena || 1416810 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 235 || Bordetella trematum || 123899 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 236 || Borrelia americana || 478807 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 237 || Borrelia brasiliensis || 1653832 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 238 || Borrelia burgdorferi || 139 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 239 || Borrelia caucasica || 1653833 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 240 || Borrelia crocidurae || 29520 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 241 || Borrelia duttonii || 40834 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 242 || Borrelia hermsii || 140 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 243 || Borrelia hispanica || 40835 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 244 || Borrelia latyschewii || 1027767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 245 || Borrelia lonestari || 38876 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 246 || Borrelia mayonii || 1674146 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 247 || Borrelia mazzottii || 1653837 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 248 || Borrelia miyamotoi || 47466 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 249 || Borrelia parkeri || 141 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 250 || Borrelia persica || 44448 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 251 || Borrelia recurrentis || 44449 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 252 || Borrelia spielmanii || 88916 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 253 || Borrelia turicatae || 142 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 254 || Borrelia venezuelensis || 1653839 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 255 || Brachybacterium paraconglomeratum || 173362 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 256 || Brachyspira aalborgi || 29522 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 257 || Brachyspira pilosicoli || 52584 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 258 || Branchiibius cervicis || 908252 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 259 || Brevibacillus agri || 51101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 260 || Brevibacillus brevis || 1393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 261 || Brevibacillus centrosporus || 54910 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 262 || Brevibacterium casei || 33889 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 263 || Brevibacterium iodinum || 31943 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 264 || Brevibacterium luteolum || 199591 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 265 || Brevibacterium lutescens || 199591 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 266 || Brevibacterium massiliense || 479117 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 267 || Brevibacterium otitidis || 53364 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 268 || Brevibacterium paucivorans || 170994 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 269 || Brevibacterium sanguinis || 232444 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 270 || Brevundimonas diminuta || 293 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 271 || Brevundimonas vancanneytii || 1325724 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 272 || Brevundimonas vesicularis || 41276 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 273 || Brucella abortus || 235 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 274 || Brucella canis || 36855 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 275 || Brucella inopinata || 1218315 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 276 || Brucella melitensis || 29459 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 277 || Brucella neotomae || 29460 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 278 || Budvicia aquatica || 82979 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 279 || Bulleidia extructa || 118748 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 280 || Burkholderia ambifaria || 152480 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 281 || Burkholderia anthina || 179879 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 282 || Burkholderia arboris || 488730 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 283 || Burkholderia cenocepacia || 95486 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 284 || Burkholderia cepacia || 292 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 285 || Burkholderia contaminans || 488447 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 286 || Burkholderia diffusa || 488732 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 287 || Burkholderia dolosa || 152500 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 288 || Burkholderia fungorum || 134537 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 289 || Burkholderia gladioli || 28095 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 290 || Burkholderia glumae || 337 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 291 || Burkholderia lata || 482957 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 292 || Burkholderia latens || 488446 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 293 || Burkholderia mallei || 13373 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 294 || Burkholderia metallica || 488729 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 295 || Burkholderia multivorans || 87883 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 296 || Burkholderia oklahomensis || 342113 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 297 || Burkholderia pseudomallei || 28450 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 298 || Burkholderia pyrrocinia || 60550 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 299 || Burkholderia seminalis || 488731 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 300 || Burkholderia stabilis || 95485 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 301 || Burkholderia stagnalis || 1503054 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 302 || Burkholderia thailandensis || 57975 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 303 || Burkholderia ubonensis || 101571 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 304 || Burkholderia vietnamiensis || 60552 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 305 || Buttiauxella gaviniae || 82990 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 306 || Butyricimonas faecihominis || 1472416 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 307 || Butyricimonas virosa || 544645 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 308 || Campylobacter armoricus || 2505970 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 309 || Campylobacter butzleri || 28197 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 310 || Campylobacter coli || 195 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 311 || Campylobacter concisus || 199 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 312 || Campylobacter curvus || 200 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 313 || Campylobacter fetus || 196 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 314 || Campylobacter gracilis || 824 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 315 || Campylobacter hominis || 76517 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 316 || Campylobacter hyointestinalis || 198 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 317 || Candidatus Campylobacter infans(Campylobacter infans) || 2561898 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 318 || Campylobacter insulaenigrae || 260714 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 319 || Campylobacter jejuni || 197 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 320 || Campylobacter lanienae || 75658 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 321 || Campylobacter lari || 201 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 322 || Campylobacter mucosalis || 202 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 323 || Campylobacter rectus || 203 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 324 || Campylobacter showae || 204 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 325 || Campylobacter sputorum || 206 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 326 || Campylobacter upsaliensis || 28080 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 327 || Campylobacter ureolyticus || 827 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 328 || Campylobacter volucris || 1031542 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 329 || Canibacter oris || 1365628 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 330 || Capnocytophaga canimorsus || 28188 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 331 || Capnocytophaga cynodegmi || 28189 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 332 || Capnocytophaga gingivalis || 1017 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 333 || Capnocytophaga granulosa || 45242 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 334 || Capnocytophaga haemolytica || 45243 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 335 || Capnocytophaga leadbetteri || 327575 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 336 || Capnocytophaga ochracea || 1018 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 337 || Capnocytophaga sputigena || 1019 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 338 || Cardiobacterium hominis || 2718 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 339 || Cardiobacterium valvarum || 194702 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 340 || Catabacter hongkongensis || 270498 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 341 || Catonella morbi || 43997 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 342 || Cedecea davisae || 158484 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 343 || Cedecea lapagei || 158823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 344 || Cedecea neteri || 158822 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 345 || Cellulomonas cellulans || 1710 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 346 || Cellulomonas denverensis || 264297 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 347 || Cellulomonas hominis || 156981 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 348 || Cellulomonas turbata || 1713 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 349 || Cellulosimicrobium cellulans || 1710 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 350 || Cellulosimicrobium funkei || 264251 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 351 || Centipeda periodontii || 82203 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 352 || Chitinophaga terrae || 408074 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 353 || Chitinophaga vietnamensis || 2593957 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 354 || Chlamydia abortus || 83555 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 355 || Chlamydia caviae || 83557 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 356 || Chlamydia felis || 83556 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 357 || Chlamydia psittaci || 83554 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 358 || Chlamydia trachomatis || 813 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 359 || Chlamydophila pneumoniae || 83558 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 360 || Chlamydophila psittaci || 83554 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 361 || Chromobacterium haemolyticum || 394935 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 362 || Chromobacterium violaceum || 536 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 363 || Chryseobacterium anthropi || 520603 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 364 || Chryseobacterium balustinum || 246 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 365 || Chryseobacterium bernardetii || 1241978 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 366 || Chryseobacterium gleum || 250 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 367 || Chryseobacterium hominis || 420404 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 368 || Chryseobacterium indologenes || 253 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 369 || Chryseobacterium meningosepticum || 238 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 370 || Chryseobacterium mucoviscidosis || 1945581 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 371 || Chryseobacterium nakagawai || 1241982 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 372 || Chryseobacterium oranimense || 421058 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 373 || Chryseobacterium treverense || 631455 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 374 || Citrobacter amalonaticus || 35703 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 375 || Citrobacter braakii || 57706 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 376 || Citrobacter farmeri || 67824 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 377 || Citrobacter freundii || 546 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 378 || Citrobacter koseri || 545 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 379 || Citrobacter pasteurii || 1563222 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 380 || Citrobacter rodentium || 67825 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 381 || Citrobacter sedlakii || 67826 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 382 || Citrobacter werkmanii || 67827 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 383 || Citrobacter youngae || 133448 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 384 || Clostridioides difficile || 1496 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 385 || Clostridium aldenense || 358742 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 386 || Clostridium amygdalinum || 253257 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 387 || Clostridium baratii || 1561 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 388 || Clostridium bifermentans || 1490 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 389 || Clostridium bolteae || 208479 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 390 || Clostridium botulinum || 1491 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 391 || Clostridium butyricum || 1492 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 392 || Clostridium cadaveris || 1529 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 393 || Clostridium carnis || 1530 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 394 || Clostridium celatum || 36834 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 395 || Clostridium chauvoei || 46867 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 396 || Clostridium citroniae || 358743 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 397 || Clostridium combesii || 39481 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 398 || Clostridium fallax || 1533 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 399 || Clostridium hydrogeniformans || 349933 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 400 || Clostridium indolis || 69825 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 401 || Clostridium innocuum || 1522 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 402 || Clostridium intestinale || 36845 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 403 || Clostridium lavalense || 460384 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 404 || Clostridium neonatale || 137838 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 405 || Clostridium novyi || 1542 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 406 || Clostridium perfringens || 1502 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 407 || Thomasclavelia ramosa(Clostridium ramosum) || 1547 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 408 || Clostridium septicum || 1504 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 409 || Paraclostridium sordellii(Clostridium sordellii) || 1505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 410 || Clostridium sphenoides || 29370 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 411 || Clostridium sporogenes || 1509 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 412 || Clostridium tertium || 1559 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 413 || Clostridium tetani || 1513 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 414 || Clostridium ventriculi || 1267 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 415 || Collinsella aerofaciens || 74426 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 416 || Collinsella vaginalis || 1870987 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 417 || Comamonas kerstersii || 225992 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 418 || Comamonas testosteroni || 285 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 419 || Coprobacillus catenaformis || 100884 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 420 || Corynebacterium accolens || 38284 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 421 || Corynebacterium afermentans || 38286 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 422 || Corynebacterium amycolatum || 43765 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 423 || Corynebacterium appendicis || 163202 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 424 || Corynebacterium aquatimens || 1190508 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 425 || Corynebacterium argentoratense || 42817 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 426 || Corynebacterium aurimucosum || 169292 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 427 || Corynebacterium auris || 44750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 428 || Corynebacterium auriscanis || 99807 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 429 || Corynebacterium belfantii || 2014537 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 430 || Corynebacterium bovis || 36808 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 431 || Corynebacterium canis || 679663 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 432 || Corynebacterium confusum || 71254 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 433 || Corynebacterium coyleae || 53374 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 434 || Corynebacterium dentalis || 2014528 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 435 || Corynebacterium diphtheriae || 1717 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 436 || Corynebacterium durum || 61592 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 437 || Corynebacterium falsenii || 108486 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 438 || Corynebacterium fournieri || 1852390 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 439 || Corynebacterium freiburgense || 556548 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 440 || Corynebacterium freneyi || 134034 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 441 || Corynebacterium glucuronolyticum || 39791 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 442 || Corynebacterium gottingense || 2041036 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 443 || Corynebacterium hansenii || 394964 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 444 || Corynebacterium imitans || 156978 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 445 || Corynebacterium jeikeium || 38289 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 446 || Corynebacterium kroppenstedtii || 161879 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 447 || Corynebacterium kutscheri || 35755 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 448 || Corynebacterium lipophiloflavum || 161889 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 449 || Corynebacterium lowii || 1544413 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 450 || Corynebacterium macginleyi || 38290 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 451 || Corynebacterium massiliense || 441501 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 452 || Corynebacterium minutissimum || 38301 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 453 || Corynebacterium mucifaciens || 57171 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 454 || Corynebacterium nigricans || 169292 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 455 || Corynebacterium oculi || 1544416 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 456 || Corynebacterium pilbarense || 1288393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 457 || Corynebacterium propinquum || 43769 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 458 || Corynebacterium pseudodiphthericum || 37637 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 459 || Corynebacterium pseudotuberculosis || 1719 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 460 || Corynebacterium pyruviciproducens || 598660 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 461 || Corynebacterium resistens || 258224 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 462 || Corynebacterium riegelii || 156976 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 463 || Corynebacterium rouxii || 2719119 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 464 || Corynebacterium seminale || 39791 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 465 || Corynebacterium simulans || 146827 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 466 || Corynebacterium sputi || 489915 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 467 || Corynebacterium striatum || 43770 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 468 || Corynebacterium sundsvallense || 161902 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 469 || Corynebacterium timonense || 441500 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 470 || Corynebacterium tuberculostearicum || 38304 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 471 || Corynebacterium tuscaniae || 302449 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 472 || Corynebacterium ulcerans || 65058 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 473 || Corynebacterium urealyticum || 43771 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 474 || Corynebacterium ureicelerivorans || 401472 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 475 || Corynebacterium xerosis || 1725 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 476 || Coxiella burnetii || 777 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 477 || Cronobacter malonaticus || 413503 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 478 || Cronobacter sakazakii || 28141 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 479 || Cronobacter turicensis || 413502 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 480 || Cruoricaptor ignavus || 1118202 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 481 || Cryptobacterium curtum || 84163 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 482 || Cupriavidus gilardii || 82541 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 483 || Cupriavidus metallidurans || 119219 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 484 || Cupriavidus pauculus || 82633 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 485 || Curtobacterium flaccumfaciens || 2035 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 486 || Cutibacterium acnes || 1747 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 487 || Cutibacterium avidum || 33010 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 488 || Cutibacterium modestum || 2559073 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 489 || Delftia acidovorans || 80866 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 490 || Delftia lacustris || 558537 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 491 || Delftia tsuruhatensis || 180282 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 492 || Dermabacter hominis || 36740 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 493 || Dermabacter jinjuensis || 1667168 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 494 || Dermacoccus barathri || 322601 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 495 || Dermatophilus congolensis || 1863 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 496 || Desmospora activa || 500615 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 497 || Desulfomicrobium orale || 132132 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 498 || Desulfovibrio desulfuricans || 876 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 499 || Desulfovibrio legallii || 571438 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 500 || Desulfovibrio vulgaris || 881 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 501 || Dialister invisus || 218538 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 502 || Dialister micraerophilus || 309120 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 503 || Dialister pneumosintes || 39950 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 504 || Dialister propionicifaciens || 308994 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 505 || Dichelobacter nodosus || 870 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 506 || Dietzia aurantiaca || 983873 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 507 || Dietzia cinnamea || 321318 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 508 || Dietzia maris || 37915 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 509 || Dietzia papillomatosis || 282305 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 510 || Diplorickettsia massiliensis || 676517 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 511 || Dokdonella koreensis || 323415 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 512 || Dolosigranulum pigrum || 29394 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 513 || Dyella japonica || 231455 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 514 || Dysgonomonas capnocytophagoides || 45254 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 515 || Dysgonomonas gadei || 156974 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 516 || Dysgonomonas hofstadii || 637886 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 517 || Dysgonomonas mossii || 163665 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 518 || Edwardsiella hoshinae || 93378 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 519 || Edwardsiella tarda || 636 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 520 || Effusibacillus consociatus || 1117041 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 521 || Eggerthella lenta || 84112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 522 || Eggerthella sinensis || 242230 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 523 || Eggerthia catenaformis || 31973 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 524 || Ehrlichia canis || 944 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 525 || Ehrlichia chaffeensis || 945 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 526 || Ehrlichia equi || 948 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 527 || Ehrlichia ewingii || 947 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 528 || Anaplasma phagocytophilum&amp;lt;br&amp;gt;(Ehrlichia phagocytophila) || 948 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 529 || Ehrlichia sennetsu || 951 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 530 || Eikenella corrodens || 539 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 531 || Eikenella exigua || 2528037 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 532 || Eikenella halliae || 1795832 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 533 || Eikenella longinqua || 1795827 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 534 || Eisenbergiella tayi || 1432052 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 535 || Elizabethkingia anophelis || 1117645 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 536 || Elizabethkingia bruuniana || 1756149 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 537 || Elizabethkingia meningoseptica || 238 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 538 || Elizabethkingia miricola || 172045 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 539 || Empedobacter brevis || 247 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 540 || Empedobacter falsenii || 343874 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 541 || Enterobacter aerogenes || 548 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 542 || Enterobacter asburiae || 61645 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 543 || Enterobacter bugandensis || 881260 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 544 || Enterobacter cancerogenus || 69218 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 545 || Enterobacter cloacae || 550 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 546 || Enterobacter hormaechei || 158836 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 547 || Enterobacter huaxiensis || 2494702 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 548 || Enterobacter kobei || 208224 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 549 || Enterobacter ludwigii || 299767 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 550 || Enterobacter quasihormaechei || 2529382 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 551 || Enterobacter sakazakii || 28141 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 552 || Enterobacter wuhouensis || 2529381 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 553 || Enterococcus avium || 33945 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 554 || Enterococcus casseliflavus || 37734 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 555 || Enterococcus cecorum || 44008 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 556 || Enterococcus durans || 53345 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 557 || Enterococcus faecalis || 1351 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 558 || Enterococcus faecium || 1352 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 559 || Enterococcus flavescens || 37734 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 560 || Enterococcus gallinarum || 1353 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 561 || Enterococcus gilvus || 160453 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 562 || Enterococcus hirae || 1354 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 563 || Enterococcus mundtii || 53346 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 564 || Enterococcus pallens || 160454 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 565 || Enterococcus raffinosus || 71452 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 566 || Erwinia persicinus || 55211 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 567 || Erysipelatoclostridium ramosum || 1547 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 568 || Erysipelothrix rhusiopathiae || 1648 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 569 || Escherichia albertii || 208962 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 570 || Escherichia coli || 562 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 571 || Escherichia fergusonii || 564 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 572 || Pseudescherichia vulneris(Escherichia vulneris) || 566 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 573 || Eubacterium brachy || 35517 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 574 || Eubacterium callanderi || 53442 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 575 || Faecalitalea cylindroides(Eubacterium cylindroides) || 39483 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 576 || Eubacterium exiguum || 84109 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 577 || Eubacterium limosum || 1736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 578 || Eubacterium minutum || 76124 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 579 || Clostridium moniliforme(Eubacterium moniliforme) || 39489 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 580 || Eubacterium multiforme || 83339 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 581 || Eubacterium nodatum || 35518 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 582 || Agathobacter rectalis(Eubacterium rectale) || 39491 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 583 || Eubacterium saphenum || 51123 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 584 || Eubacterium sulci || 143393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 585 || Paraclostridium tenue(Eubacterium tenue) || 1737 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 586 || Eubacterium timidum || 35519 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 587 || Eubacterium yurii || 39498 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 588 || Ewingella americana || 41202 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 589 || Exiguobacterium acetylicum || 41170 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 590 || Exiguobacterium aurantiacum || 33987 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 591 || Facklamia hominis || 178214 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 592 || Facklamia ignava || 137730 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 593 || Facklamia languida || 82347 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 594 || Facklamia sourekii || 87650 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 595 || Faecalicatena contorta || 39482 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 596 || Fastidiosipila sanguinis || 236753 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 597 || Fenollaria massiliensis || 938288 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 598 || Fibrobacter intestinalis || 28122 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 599 || Filifactor alocis || 143361 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 600 || Finegoldia magna || 1260 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 601 || Paenimyroides ceti(Flavobacterium ceti) || 395087 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 602 || Fluoribacter bozemanae || 447 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 603 || Fluoribacter dumoffii || 463 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 604 || Fluoribacter gormanii || 464 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 605 || Francisella hispaniensis || 622488 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 606 || Francisella opportunistica || 2016517 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 607 || Francisella philomiragia || 28110 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 608 || Francisella tularensis || 263 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 609 || Frederiksenia canicola || 123824 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 610 || Fretibacterium fastidiosum || 651822 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 611 || Fusobacterium gonidiaformans || 849 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 612 || Fusobacterium mortiferum || 850 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 613 || Fusobacterium naviforme || 77917 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 614 || Fusobacterium necrophorum || 859 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 615 || Fusobacterium nucleatum || 851 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 616 || Fusobacterium periodonticum || 860 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 617 || Fusobacterium russii || 854 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 618 || Fusobacterium ulcerans || 861 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 619 || Fusobacterium varium || 856 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 620 || Gallibacterium anatis || 750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 621 || Gardnerella vaginalis || 2702 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 622 || Gemella asaccharolytica || 502393 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 623 || Gemella bergeriae || 84136 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 624 || Gemella haemolysans || 1379 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 625 || Gemella morbillorum || 29391 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 626 || Gemella parahaemolysans || 1179782 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 627 || Gemella sanguinis || 84135 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 628 || Gemella taiwanensis || 1179787 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 629 || Globicatella sanguinis || 13076 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 630 || Gordonia amarae || 36821 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 631 || Gordonia araii || 263909 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 632 || Gordonia bronchialis || 2054 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 633 || Gordonia effusa || 263908 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 634 || Gordonia hongkongensis || 1701090 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 635 || Gordonia iterans || 1004901 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 636 || Gordonia otitidis || 249058 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 637 || Gordonia polyisoprenivorans || 84595 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 638 || Gordonia rubripertincta || 36822 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 639 || Gordonia sputi || 36823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 640 || Gordonia terrae || 2055 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 641 || Gordonibacter pamelaeae || 471189 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 642 || Granulibacter bethesdensis || 364410 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 643 || Granulicatella adiacens || 46124 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 644 || Granulicatella elegans || 137732 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 645 || Haematobacter massiliensis || 195105 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 646 || Haematobacter missouriensis || 366616 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 647 || Haematomicrobium sanguinis || 479106 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 648 || Haematospirillum jordaniae || 1549855 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 649 || Haemophilus actinomycetemcomitans || 714 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 650 || Haemophilus aegyptius || 197575 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 651 || Haemophilus aphrophilus || 732 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 652 || Haemophilus ducreyi || 730 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 653 || Haemophilus haemolyticus || 726 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 654 || Haemophilus influenzae || 727 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 655 || Haemophilus massiliensis || 1461579 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 656 || Haemophilus parahaemolyticus || 735 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 657 || Haemophilus parainfluenzae || 729 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 658 || Haemophilus paraphrohaemolyticus || 736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 659 || Haemophilus pittmaniae || 249188 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 660 || Haemophilus sputorum || 1078480 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 661 || Hafnia alvei || 569 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 662 || Hafnia paralvei || 546367 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 663 || Halomonas hamiltonii || 502829 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 664 || Halomonas stevensii || 502821 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 665 || Halomonas venusta || 44935 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 666 || Hathewaya histolytica || 1498 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 667 || Hazenella coriacea || 1179467 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 668 || Helcobacillus massiliensis || 521392 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 669 || Helcococcus kunzii || 40091 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 670 || Helcococcus sueciensis || 241555 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 671 || Helicobacter bilis || 37372 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 672 || Helicobacter canadensis || 123841 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 673 || Helicobacter canis || 29419 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 674 || Helicobacter cinaedi || 213 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 675 || Helicobacter fennelliae || 215 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 676 || Helicobacter heilmannii || 35817 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 677 || Helicobacter hepaticus || 32025 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 678 || Helicobacter pullorum || 35818 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 679 || Helicobacter pylori || 210 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 680 || Helicobacter suis || 104628 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 681 || Helicobacter winghamensis || 157268 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 682 || Herbaspirillum huttiense || 863372 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 683 || Herbaspirillum seropedicae || 964 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 684 || Hungatella effluvii || 1096246 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 685 || Hungatella hathewayi || 154046 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 686 || Ignatzschineria indica || 472583 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 687 || Ignatzschineria larvae || 112009 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 688 || Ignavigranum ruoffiae || 89093 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 689 || Inquilinus limosus || 171674 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 690 || Janibacter melonis || 262209 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 691 || Jonquetella anthropi || 428712 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 692 || Kerstersia gyiorum || 206506 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 693 || Kerstersia similis || 206505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 694 || Kingella denitrificans || 502 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 695 || Kingella kingae || 504 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 696 || Kingella oralis || 505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 697 || Kingella potus || 265175 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 698 || Klebsiella aerogenes || 548 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 699 || Klebsiella granulomatis || 39824 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 700 || Klebsiella grimontii || 2058152 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 701 || Klebsiella ornithinolytica || 54291 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 702 || Klebsiella oxytoca || 571 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 703 || Klebsiella pasteurii || 2587529 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 704 || Klebsiella pneumoniae || 573 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 705 || Klebsiella quasipneumoniae || 1463165 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 706 || Klebsiella variicola || 244366 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 707 || Kluyvera ascorbata || 51288 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 708 || Kluyvera cryocrescens || 580 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 709 || Kocuria kristinae || 37923 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 710 || Kocuria marina || 223184 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 711 || Kocuria rhizophila || 72000 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 712 || Kocuria rosea || 1275 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 713 || Kocuria salsicia || 664639 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 714 || Kocuria varians || 1272 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 715 || Kosakonia cowanii || 208223 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 716 || Kosakonia quasisacchari || 2529380 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 717 || Kytococcus schroeteri || 138300 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 718 || Kytococcus sedentarius || 1276 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 719 || Lachnoanaerobaculum saburreum || 467210 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 720 || Lachnoanaerobaculum umeaense || 617123 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 721 || Lactobacillus acidophilus || 1579 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 722 || Lactobacillus delbrueckii || 1584 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 723 || Lactobacillus gasseri || 1596 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 724 || Lactobacillus jensenii || 109790 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 725 || Lactobacillus plantarum || 1590 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 726 || Lactobacillus rhamnosus || 47715 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 727 || Lactococcus garvieae || 1363 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 728 || Laribacter hongkongensis || 168471 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 729 || Lawsonella clevelandensis || 1528099 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 730 || Leclercia adecarboxylata || 83655 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 731 || Legionella anisa || 28082 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 732 || Legionella birminghamensis || 28083 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 733 || Legionella bozemanii || 447 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 734 || Legionella cardiaca || 1071983 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 735 || Legionella cherrii || 28084 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 736 || Legionella cincinnatiensis || 28085 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 737 || Legionella feeleii || 453 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 738 || Legionella gormanii || 464 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 739 || Legionella hackeliae || 449 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 740 || Legionella indianapolisensis || 1774113 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 741 || Legionella jordanis || 456 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 742 || Legionella lansingensis || 45067 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 743 || Legionella londiniensis || 45068 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 744 || Legionella longbeachae || 450 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 745 || Legionella maceachernii || 466 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 746 || Legionella nagasakiensis || 535290 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 747 || Legionella oakridgensis || 29423 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 748 || Legionella parisiensis || 45071 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 749 || Legionella pneumophila || 446 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 750 || Legionella rubrilucens || 458 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 751 || Legionella sainthelensi || 28087 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 752 || Legionella steelei || 947033 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 753 || Legionella tucsonensis || 40335 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 754 || Legionella wadsworthii || 28088 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 755 || Legionella waltersii || 66969 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 756 || Leifsonia aquatica || 144185 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 757 || Lelliottia amnigena || 61646 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 758 || Leminorella grimontii || 82981 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 759 || Leptospira borgpetersenii || 174 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 760 || Leptospira broomii || 301541 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 761 || Leptospira fainei || 48782 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 762 || Leptospira inadai || 29506 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 763 || Leptospira interrogans || 173 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 764 || Leptospira kirschneri || 29507 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 765 || Leptospira licerasiae || 447106 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 766 || Leptospira mayottensis || 1137606 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 767 || Leptospira meyeri || 29508 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 768 || Leptospira noguchii || 28182 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 769 || Leptospira santarosai || 28183 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 770 || Leptospira venezuelensis || 1958811 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 771 || Leptospira weilii || 28184 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 772 || Leptospira wolffii || 409998 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 773 || Leptotrichia amnionii || 187101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 774 || Leptotrichia buccalis || 40542 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 775 || Leptotrichia goodfellowii || 157692 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 776 || Leptotrichia hongkongensis || 554406 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 777 || Leptotrichia sanguinegens(Sneathia sanguinegens) || 40543 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 778 || Leptotrichia shahii || 157691 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 779 || Leptotrichia trevisanii || 109328 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 780 || Leptotrichia wadei || 157687 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 781 || Leuconostoc lactis || 1246 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 782 || Leuconostoc mesenteroides || 1245 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 783 || Leuconostoc pseudomesenteroides || 33968 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 784 || Listeria grayi || 1641 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 785 || Listeria innocua || 1642 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 786 || Listeria ivanovii || 1638 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 787 || Listeria monocytogenes || 1639 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 788 || Listeria seeligeri || 1640 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 789 || Listeria welshimeri || 1643 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 790 || Luteibacter anthropi || 564369 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 791 || Luteococcus peritonei || 88874 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 792 || Luteococcus sanguinis || 174038 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 793 || Lysinibacillus fusiformis || 28031 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 794 || Lysinibacillus sphaericus || 1421 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 795 || Malaciobacter mytili || 603050 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 796 || Mannheimia glucosida || 85401 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 797 || Mannheimia haemolytica || 75985 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 798 || Massilia oculi || 945844 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 799 || Massilia timonae || 47229 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 800 || Megamonas hypermegale || 158847 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 801 || Megasphaera elsdenii || 907 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 802 || Megasphaera micronuciformis || 187326 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 803 || Megasphaera vaginalis || 2045301 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 804 || Metamycoplasma hominis || 2098 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 805 || Metamycoplasma salivarium || 2124 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 806 || Methylobacterium mesophilicum || 39956 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 807 || Methylobacterium zatmanii || 29429 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 808 || Microbacterium binotii || 462710 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 809 || Microbacterium paraoxydans || 199592 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 810 || Microbacterium pyrexiae || 393867 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 811 || Microbacterium yannicii || 671622 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 812 || Micrococcus luteus || 1270 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 813 || Microvirgula aerodenitrificans || 57480 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 814 || Mobiluncus curtisii || 2051 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 815 || Mobiluncus mulieris || 2052 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 816 || Moellerella wisconsensis || 158849 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 817 || Mogibacterium diversum || 114527 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 818 || Mogibacterium neglectum || 114528 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 819 || Mogibacterium pumilum || 86332 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 820 || Mogibacterium timidum || 35519 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 821 || Mogibacterium vescum || 86333 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 822 || Moraxella atlantae || 34059 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 823 || Moraxella bovis || 476 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 824 || Moraxella canis || 90239 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 825 || Moraxella catarrhalis || 480 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 826 || Moraxella caviae || 34060 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 827 || Moraxella cuniculi || 34061 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 828 || Moraxella lacunata || 477 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 829 || Moraxella lincolnii || 90241 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 830 || Moraxella nonliquefaciens || 478 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 831 || Moraxella osloensis || 34062 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 832 || Moraxella ovis || 29433 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 833 || Morganella morganii || 582 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 834 || Moryella indoligenes || 371674 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 835 || Murdochiella asaccharolytica || 507844 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 836 || Mycobacterium abscessus || 36809 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 837 || Mycobacterium africanum || 33894 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 838 || Mycobacterium alsense || 324058 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 839 || Mycobacterium alvei || 67081 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 840 || Mycobacterium arosiense || 425468 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 841 || Mycobacterium arupense || 342002 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 842 || Mycobacterium asiaticum || 1790 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 843 || Mycobacterium aubagnense || 319707 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 844 || Mycobacterium avium || 1764 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 845 || Mycobacterium bacteremicum || 564198 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 846 || Mycobacterium basiliense || 2094119 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 847 || Mycobacterium boenickei || 146017 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 848 || Mycobacterium bohemicum || 56425 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 849 || Mycobacterium bouchedurhonense || 701041 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 850 || Mycobacterium bovis || 1765 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 851 || Mycobacterium branderi || 43348 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 852 || Mycobacterium brisbanense || 146020 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 853 || Mycobacterium canariasense || 228230 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 854 || Mycobacterium caprae || 115862 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 855 || Mycobacterium celatum || 28045 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 856 || Mycobacterium chelonae || 1774 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 857 || Mycobacterium chimaera || 222805 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 858 || Mycobacterium colombiense || 339268 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 859 || Mycobacterium conceptionense || 451644 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 860 || Mycobacterium conspicuum || 44010 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 861 || Mycobacterium cosmeticum || 258533 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 862 || Mycobacterium doricum || 126673 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 863 || Mycobacterium elephantis || 81858 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 864 || Mycobacterium europaeum || 761804 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 865 || Mycobacterium farcinogenes || 1802 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 866 || Mycobacterium flavescens || 1776 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 867 || Mycobacterium florentinum || 292462 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 868 || Mycobacterium fortuitum || 1766 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 869 || Mycobacterium fragae || 1260918 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 870 || Mycobacterium gadium || 1794 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 871 || Mycobacterium gastri || 1777 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 872 || Mycobacterium genavense || 36812 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 873 || Mycobacterium goodii || 134601 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 874 || Mycobacterium gordonae || 1778 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 875 || Mycobacterium grossiae || 1552759 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 876 || Mycobacterium haemophilum || 29311 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 877 || Mycobacterium heckeshornense || 110505 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 878 || Mycobacterium heidelbergense || 53376 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 879 || Mycobacterium heraklionense || 512402 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 880 || Mycobacterium holsaticum || 152142 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 881 || Mycobacterium immunogenum || 83262 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 882 || Mycobacterium interjectum || 33895 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 883 || Mycobacterium intermedium || 28445 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 884 || Mycobacterium intracellulare || 1767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 885 || Mycobacterium iranicum || 912594 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 886 || Mycobacterium kansasii || 1768 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 887 || Mycobacterium koreense || 1069220 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 888 || Mycobacterium kubicae || 120959 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 889 || Mycobacterium kumamotonense || 354243 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 890 || Mycobacterium kyorinense || 487514 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 891 || Mycobacterium lacus || 169765 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 892 || Mycobacterium lentiflavum || 141349 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 893 || Mycobacterium leprae || 1769 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 894 || Mycobacterium lepromatosis || 480418 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 895 || Mycobacterium llatzerense || 280871 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 896 || Mycobacterium longobardum || 1108812 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 897 || Mycobacterium mageritense || 53462 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 898 || Mycobacterium malmoense || 1780 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 899 || Mycobacterium mantenii || 560555 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 900 || Mycobacterium marinum || 1781 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 901 || Mycobacterium marseillense || 701042 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 902 || Mycobacterium massiliense || 1962118 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 903 || Mycobacterium microti || 1806 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 904 || Mycobacterium monacense || 85693 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 905 || Mycobacterium mucogenicum || 56689 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 906 || Mycobacterium mungi || 1844474 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 907 || Mycobacterium nebraskense || 244292 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 908 || Mycobacterium neoaurum || 1795 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 909 || Mycobacterium nonchromogenicum || 1782 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 910 || Mycobacterium noviomagense || 459858 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 911 || Mycobacterium palustre || 153971 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 912 || Mycobacterium paraffinicum || 53378 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 913 || Mycobacterium paragordonae || 1389713 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 914 || Mycobacterium parakoreense || 1069221 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 915 || Mycobacterium parascrofulaceum || 240125 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 916 || Mycobacterium paraseoulense || 590652 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 917 || Mycobacterium parmense || 185642 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 918 || Mycobacterium peregrinum || 43304 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 919 || Mycobacterium phocaicum || 319706 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 920 || Mycobacterium pinnipedii || 194542 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 921 || Mycobacterium porcinum || 39693 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 922 || Mycobacterium poriferae || 39694 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 923 || Mycobacterium rhodesiae || 36814 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 924 || Mycobacterium riyadhense || 486698 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 925 || Mycobacterium saskatchewanense || 220927 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 926 || Mycobacterium scrofulaceum || 1783 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 927 || Mycobacterium senegalense || 1796 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 928 || Mycobacterium senuense || 386913 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 929 || Mycobacterium seoulense || 386911 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 930 || Mycobacterium septicum || 98668 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 931 || Mycobacterium setense || 431269 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 932 || Mycobacterium sherrisii || 243061 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 933 || Mycobacterium shimoidei || 29313 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 934 || Mycobacterium shinjukuense || 398694 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 935 || Mycobacterium simiae || 1784 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 936 || Mycobacterium smegmatis || 1772 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 937 || Mycobacterium szulgai || 1787 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 938 || Mycobacterium terrae || 1788 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 939 || Mycobacterium thermoresistibile || 1797 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 940 || Mycobacterium timonense || 701043 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 941 || Mycobacterium tokaiense || 39695 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 942 || Mycobacterium triplex || 47839 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 943 || Mycobacterium triviale || 1798 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 944 || Mycobacterium tuberculosis || 1773 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 945 || Mycobacterium ulcerans || 1809 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 946 || Mycobacterium wolinskyi || 59750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 947 || Mycobacterium xenopi || 1789 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 948 || Mycoplasma amphoriforme || 273136 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 949 || Mycoplasma arginini || 2094 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 950 || Mycoplasma felis || 33923 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 951 || Mycoplasma fermentans || 2115 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 952 || Mycoplasma genitalium || 2097 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 953 || Metamycoplasma hominis&amp;lt;br&amp;gt;(Mycoplasma hominis) || 2098 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 954 || Mycoplasma lipofaciens || 114884 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 955 || Mycoplasma orale || 2121 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 956 || Mycoplasma penetrans || 28227 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 957 || Mycoplasma pirum || 2122 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 958 || Mycoplasma pneumoniae || 2104 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 959 || Mycoplasma salivarium || 2124 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 960 || Mycoplasmoides genitalium || 2097 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 961 || Mycoplasmoides pneumoniae || 2104 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 962 || Mycoplasmopsis fermentans || 2115 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 963 || Myroides injenensis || 1183151 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 964 || Myroides odoratimimus || 76832 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 965 || Myroides odoratus || 256 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 966 || Myroides phaeus || 702745 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 967 || Necropsobacter rosorum || 908285 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 968 || Negativicoccus succinicivorans || 620903 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 969 || Neisseria animaloris || 326522 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 970 || Neisseria bacilliformis || 267212 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 971 || Neisseria canis || 493 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 972 || Neisseria cinerea || 483 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 973 || Neisseria dumasiana || 1931275 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 974 || Neisseria elongata || 495 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 975 || Neisseria flava || 34026 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 976 || Neisseria flavescens || 484 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 977 || Neisseria gonorrhoeae || 485 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 978 || Neisseria lactamica || 486 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 979 || Neisseria macacae || 496 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 980 || Neisseria meningitidis || 487 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 981 || Neisseria mucosa || 488 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 982 || Neisseria oralis || 1107316 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 983 || Neisseria perflava || 33053 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 984 || Neisseria shayeganii || 607712 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 985 || Neisseria sicca || 490 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 986 || Neisseria subflava || 28449 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 987 || Neisseria wadsworthii || 607711 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 988 || Neisseria weaveri || 28091 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 989 || Neisseria zoodegmatis || 326523 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 990 || Neoehrlichia mikurensis || 89586 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 991 || Ehrlichia sennetsu(Neorickettsia sennetsu) || 951 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 992 || Nocardia abscessus || 120957 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 993 || Nocardia africana || 134964 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 994 || Nocardia amikacinitolerans || 756689 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 995 || Nocardia anaemiae || 263910 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 996 || Nocardia aobensis || 257277 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 997 || Nocardia araoensis || 228600 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 998 || Nocardia arizonensis || 1141647 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 999 || Nocardia arthritidis || 228602 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1000 || Nocardia asiatica || 209252 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1001 || Nocardia asteroides || 1824 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1002 || Nocardia barduliensis || 2736643 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1003 || Nocardia beijingensis || 95162 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1004 || Nocardia blacklockiae || 480036 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1005 || Nocardia brasiliensis || 37326 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1006 || Nocardia colli || 2545717 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1007 || Nocardia concava || 257281 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1008 || Nocardia cyriacigeorgici || 135487 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1009 || Nocardia donostiensis || 1538463 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1010 || Nocardia elegans || 300029 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1011 || Nocardia exalbida || 290231 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1012 || Nocardia farcinica || 37329 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1013 || Nocardia gipuzkoensis || 2749991 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1014 || Nocardia harenae || 358707 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1015 || Nocardia higoensis || 228599 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1016 || Nocardia ignorata || 145285 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1017 || Nocardia inohanensis || 209246 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1018 || Nocardia kroppenstedtii || 341199 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1019 || Nocardia kruczakiae || 261477 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1020 || Nocardia mexicana || 279262 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1021 || Nocardia mikamii || 508464 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1022 || Nocardia neocaledoniensis || 236511 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1023 || Nocardia niigatensis || 209249 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1024 || Nocardia ninae || 356145 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1025 || Nocardia niwae || 626084 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1026 || Nocardia nova || 37330 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1027 || Nocardia otitidiscaviarum || 1823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1028 || Nocardia paucivorans || 114259 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1029 || Nocardia pneumoniae || 228601 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1030 || Nocardia pseudobrasiliensis || 45979 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1031 || Nocardia puris || 208602 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1032 || Nocardia senatus || 248552 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1033 || Nocardia shinanonensis || 1769161 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1034 || Nocardia takedensis || 259390 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1035 || Nocardia terpenica || 455432 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1036 || Nocardia testaceus || 248551 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1037 || Nocardia thailandica || 257275 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1038 || Nocardia transvalensis || 37333 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1039 || Nocardia vermiculata || 257274 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1040 || Nocardia veterana || 132249 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1041 || Nocardia vinacea || 96468 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1042 || Nocardia vulneris || 1141657 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1043 || Nocardia wallacei || 480035 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1044 || Nocardia yamanashiensis || 209247 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1045 || Nocardiopsis dassonvillei || 2014 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1046 || Oblitimonas alkaliphila || 1697053 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1047 || Ochrobactrum anthropi || 529 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1048 || Ochrobactrum haematophilum || 419474 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1049 || Ochrobactrum intermedium || 94625 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1050 || Ochrobactrum pseudogrignonense || 419475 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1051 || Ochrobactrum tritici || 94626 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1052 || Odoribacter splanchnicus || 28118 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1053 || Oerskovia turbata || 1713 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1054 || Oligella ureolytica || 90244 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1055 || Oligella urethralis || 90245 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1056 || Oribacterium asaccharolyticum || 1501332 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1057 || Oribacterium parvum || 1501329 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1058 || Oribacterium sinus || 237576 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1059 || Candidatus Orientia mediorientalis(Orientia chuto) || 911112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1060 || Orientia tsutsugamushi || 784 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1061 || Oscillibacter ruminantium || 1263547 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1062 || Paenalcaligenes hominis || 643674 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1063 || Paenibacillus alvei || 44250 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1064 || Paenibacillus amylolyticus || 1451 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1065 || Paenibacillus assamensis || 311244 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1066 || Paenibacillus cineris || 237530 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1067 || Paenibacillus glucanolyticus || 59843 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1068 || Cohnella hongkongensis(Paenibacillus hongkongensis) || 178337 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1069 || Paenibacillus konsidensis || 479474 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1070 || Paenibacillus macerans || 44252 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1071 || Paenibacillus massiliensis || 225917 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1072 || Paenibacillus polymyxa || 1406 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1073 || Paenibacillus provencensis || 441151 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1074 || Paenibacillus residui || 629724 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1075 || Paenibacillus sanguinis || 225906 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1076 || Paenibacillus sputi || 646095 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1077 || Paenibacillus thiaminolyticus || 49283 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1078 || Paenibacillus timonensis || 225915 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1079 || Paenibacillus turicensis || 160487 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1080 || Paenibacillus vulneris || 1133364 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1081 || Pandoraea apista || 93218 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1082 || Pandoraea fibrosis || 1891094 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1083 || Pandoraea pnomenusa || 93220 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1084 || Pandoraea pulmonicola || 93221 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1085 || Pandoraea sputorum || 93222 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1086 || Pantoea agglomerans || 549 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1087 || Pantoea ananatis || 553 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1088 || Pantoea brenneri || 472694 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1089 || Pantoea calida || 665913 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1090 || Pantoea conspicua || 472705 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1091 || Pantoea dispersa || 59814 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1092 || Pantoea eucrina || 472693 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1093 || Pantoea septica || 472695 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1094 || Parabacteroides chongii || 2685834 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1095 || Parabacteroides distasonis || 823 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1096 || Parabacteroides goldsteinii || 328812 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1097 || Parabacteroides gordonii || 574930 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1098 || Paraclostridium bifermentans || 1490 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1099 || Paraclostridium dentum || 2662455 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1100 || Paracoccus sanguinis || 1545044 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1101 || Paracoccus yeeii || 147645 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1102 || Paraeggerthella hongkongensis || 230658 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1103 || Parapseudoflavitalea muciniphila || 2100819 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1104 || Parvimonas micra || 33033 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1105 || Pasteurella aerogenes || 749 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1106 || Pasteurella bettyae || 752 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1107 || Pasteurella caballi || 243701 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1108 || Pasteurella canis || 753 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1109 || Pasteurella dagmatis || 754 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1110 || Pasteurella multocida || 747 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1111 || Pasteurella pneumotropica || 758 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1112 || Pasteurella stomatis || 760 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1113 || Peptococcus niger || 2741 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1114 || Peptoniphilus asaccharolyticus || 1258 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1115 || Aedoeadaptatus coxii(Peptoniphilus coxii) || 755172 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1116 || Peptoniphilus duerdenii || 507750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1117 || Peptoniphilus gorbachii || 411567 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1118 || Peptoniphilus harei || 54005 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1119 || Peptoniphilus koenoeneniae || 507751 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1120 || Peptoniphilus lacydonensis || 1673725 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1121 || Peptoniphilus nemausus || 2582829 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1122 || Peptoniphilus olsenii || 411570 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1123 || Peptoniphilus tyrrelliae || 755171 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1124 || Peptostreptococcus anaerobius || 1261 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1125 || Peptostreptococcus asaccharolyticus || 1258 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1126 || Peptostreptococcus ivorii || 54006 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1127 || Peptostreptococcus lactolyticus || 33032 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1128 || Peptostreptococcus magnus || 1260 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1129 || Peptostreptococcus prevotii || 33034 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1130 || Peptostreptococcus stomatis || 341694 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1131 || Peptostreptococcus vaginalis || 33037 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1132 || Phocaeicola abscessus || 555313 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1133 || Photobacterium damselae || 38293 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1134 || Photorhabdus asymbiotica || 291112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1135 || Plesiomonas shigelloides || 703 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1136 || Pluralibacter gergoviae || 61647 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1137 || Pontibacter altruii || 1908342 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1138 || Porphyromonas asaccharolytica || 28123 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1139 || Porphyromonas bennonis || 501496 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1140 || Porphyromonas catoniae || 41976 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1141 || Porphyromonas circumdentaria || 29524 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1142 || Porphyromonas endodontalis || 28124 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1143 || Porphyromonas gingivalis || 837 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1144 || Porphyromonas levii || 28114 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1145 || Porphyromonas macacae || 28115 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1146 || Porphyromonas somerae || 322095 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1147 || Porphyromonas uenonis || 281920 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1148 || Prescottia equi || 43767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1149 || Prevotella amnii || 419005 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1150 || Prevotella aurantiaca || 596085 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1151 || Segatella baroniae(Prevotella baroniae) || 305719 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1152 || Prevotella bergensis || 242750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1153 || Prevotella bivia || 28125 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1154 || Prevotella brunnea || 2508867 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1155 || Segatella buccae(Prevotella buccae) || 28126 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1156 || Prevotella buccalis || 28127 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1157 || Prevotella colorans || 1703337 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1158 || Prevotella corporis || 28128 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1159 || Prevotella dentalis || 52227 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1160 || Prevotella denticola || 28129 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1161 || Prevotella disiens || 28130 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1162 || Prevotella enoeca || 76123 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1163 || Prevotella fusca || 589436 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1164 || Prevotella heparinolytica || 28113 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1165 || Prevotella intermedia || 28131 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1166 || Prevotella loescheii || 840 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1167 || Prevotella maculosa || 439703 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1168 || Hoylesella marshii(Prevotella marshii) || 189722 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1169 || Prevotella massiliensis || 329988 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1170 || Prevotella melaninogenica || 28132 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1171 || Prevotella multiformis || 282402 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1172 || Hallella multisaccharivorax(Prevotella multisaccharivorax) || 310514 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1173 || Hoylesella nanceiensis(Prevotella nanceiensis) || 425941 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1174 || Prevotella nigrescens || 28133 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1175 || Hoylesella oralis(Prevotella oralis) || 28134 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1176 || Segatella oris(Prevotella oris) || 28135 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1177 || Prevotella oulora || 28136 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1178 || Prevotella pleuritidis || 407975 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1179 || Xylanibacter ruminicola(Prevotella ruminicola) || 839 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1180 || Prevotella scopos || 589437 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1181 || Hoylesella timonensis(Prevotella timonensis) || 386414 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1182 || Prevotella veroralis || 28137 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1183 || Prevotella vespertina || 2608404 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1184 || Prevotella zoogleoformans || 28119 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1185 || Propionibacterium acidifaciens || 556499 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1186 || Propionibacterium acnes || 1747 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1187 || Propionibacterium avidum || 33010 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1188 || Cutibacterium granulosum(Propionibacterium granulosum) || 33011 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1189 || Propionibacterium namnetense || 1574624 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1190 || Arachnia propionica(Propionibacterium propionicum) || 1750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1191 || Proteus faecis || 2050967 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1192 || Proteus mirabilis || 584 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1193 || Proteus penneri || 102862 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1194 || Proteus vulgaris || 585 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1195 || Providencia alcalifaciens || 126385 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1196 || Providencia heimbachae || 333962 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1197 || Providencia rettgeri || 587 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1198 || Providencia stuartii || 588 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1199 || Gulosibacter bifidus(Pseudoclavibacter bifida) || 272239 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1200 || Pseudomonas aeruginosa || 287 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1201 || Aquipseudomonas alcaligenes(Pseudomonas alcaligenes) || 43263 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1202 || Pseudomonas andersonii || 147728 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1203 || Pseudomonas asiatica || 2219225 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1204 || Pseudomonas fluorescens || 294 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1205 || Pseudomonas fulva || 47880 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1206 || Pseudomonas japonica || 256466 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1207 || Pseudomonas juntendi || 2666183 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1208 || Pseudomonas luteola || 47886 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1209 || Pseudomonas mendocina || 300 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1210 || Pseudomonas monteilii || 76759 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1211 || Pseudomonas mosselii || 78327 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1212 || Pseudomonas nosocomialis || 1056496 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1213 || Pseudomonas oryzihabitans || 47885 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1214 || Pseudomonas otitidis || 319939 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1215 || Pseudomonas pickettii || 329 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1216 || Pseudomonas poae || 200451 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1217 || Pseudomonas pseudoalcaligenes || 301 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1218 || Pseudomonas putida || 303 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1219 || Pseudomonas stutzeri || 316 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1220 || Pseudomonas yangonensis || 2579922 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1221 || Pseudonocardia autotrophica || 2074 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1222 || Pseudonocardia carboxydivorans || 415010 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1223 || Pseudonocardia oroxyli || 366584 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1224 || Pseudopropionibacterium propionicum || 1750 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1225 || Pseudoramibacter alactolyticus || 113287 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1226 || Pseudoxanthomonas winnipegensis || 2480810 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1227 || Psychrobacter arenosus || 256326 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1228 || Psychrobacter faecalis || 180588 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1229 || Psychrobacter immobilis || 498 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1230 || Psychrobacter phenylpyruvicus || 29432 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1231 || Psychrobacter sanguinis || 861445 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1232 || Pyramidobacter piscolens || 638849 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1233 || Rahnella aquatilis || 34038 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1234 || Ralstonia gilardii || 82541 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1235 || Ralstonia mannitolytica || 105219 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1236 || Ralstonia pickettii || 329 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1237 || Ralstonia respiraculi || 195930 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1238 || Raoultella ornithinolytica || 54291 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1239 || Raoultella planticola || 575 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1240 || Rhizobium pusense || 648995 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1241 || Rhodococcus corynebacterioides || 53972 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1242 || Prescottella equi(Rhodococcus equi) || 43767 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1243 || Rhodococcus erythropolis || 1833 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1244 || Rhodococcoides fascians(Rhodococcus fascians) || 1828 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1245 || Rhodococcus globerulus || 33008 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1246 || Rhodococcus gordoniae || 223392 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1247 || Rhodococcus rhodnii || 38312 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1248 || Rhodococcus rhodochrous || 1829 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1249 || Rickettsia aeschlimannii || 45262 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1250 || Rickettsia africae || 35788 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1251 || Rickettsia akari || 786 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1252 || Rickettsia australis || 787 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1253 || Rickettsia conorii || 781 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1254 || Rickettsia felis || 42862 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1255 || Rickettsia heilongjiangensis || 226665 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1256 || Rickettsia helvetica || 35789 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1257 || Rickettsia honei || 37816 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1258 || Rickettsia japonica || 35790 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1259 || Rickettsia massiliae || 35791 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1260 || Rickettsia monacensis || 109232 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1261 || Rickettsia sibirica subsp. mongolitimonae(Rickettsia mongolotimonae) || 45261 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1262 || Rickettsia parkeri || 35792 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1263 || Rickettsia prowazekii || 782 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1264 || Rickettsia raoultii || 369822 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1265 || Rickettsia rickettsii || 783 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1266 || Rickettsia sibirica || 35793 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1267 || Rickettsia slovaca || 35794 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1268 || Rickettsia tamurae || 334545 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1269 || Rickettsia typhi || 785 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1270 || Rickettsia xinyangensis || 0 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1271 || Robinsoniella peoriensis || 180332 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1272 || Rodentibacter pneumotropicus || 758 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1273 || Roseomonas cervicalis || 204525 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1274 || Roseomonas gilardii || 257708 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1275 || Roseomonas mucosa || 207340 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1276 || Rothia aeria || 172042 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1277 || Rothia dentocariosa || 2047 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1278 || Rothia mucilaginosa || 43675 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1279 || Ruminococcus gnavus || 33038 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1280 || Ruminococcus productus || 33035 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1281 || Saccharomonospora viridis || 1852 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1282 || Saccharopolyspora rectivirgula || 28042 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1283 || Saccharopolyspora rosea || 524884 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1284 || Saezia sanguinis || 1965230 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1285 || Salmonella bongori || 54736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1286 || Salmonella choleraesuis || 28901 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1287 || Salmonella enterica || 28901 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1288 || Salmonella enteritidis || 149539 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1289 || Salmonella typhi || 90370 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1290 || Salmonella typhimurium || 90371 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1291 || Scandinavium goeteborgense || 1851514 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1292 || Scardovia wiggsiae || 230143 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1293 || Sciscionella marina || 508770 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1294 || Sebaldella termitidis || 826 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1295 || Sedimentibacter hongkongensis || 178338 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1296 || Segniliparus rotundus || 286802 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1297 || Segniliparus rugosus || 286804 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1298 || Selenomonas artemidis || 671224 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1299 || Selenomonas dianae || 135079 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1300 || Selenomonas flueggei || 135080 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1301 || Selenomonas infelix || 135082 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1302 || Selenomonas noxia || 135083 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1303 || Selenomonas sputigena || 69823 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1304 || Serratia ficaria || 61651 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1305 || Serratia fonticola || 47917 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1306 || Serratia liquefaciens || 614 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1307 || Serratia marcescens || 615 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1308 || Serratia odorifera || 618 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1309 || Serratia plymuthica || 82996 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1310 || Serratia proteamaculans || 28151 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1311 || Serratia rubidaea || 61652 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1312 || Shewanella algae || 38313 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1313 || Shewanella haliotis || 38313 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1314 || Shewanella xiamenensis || 332186 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1315 || Shigella boydii || 621 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1316 || Shigella dysenteriae || 622 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1317 || Shigella flexneri || 623 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1318 || Shigella sonnei || 624 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1319 || Shuttleworthia satelles || 177972 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1320 || Simkania negevensis || 83561 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1321 || Slackia exigua || 84109 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1322 || Sneathia amnii || 187101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1323 || Sneathia sanguinegens || 40543 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1324 || Sodalis praecaptivus || 1239307 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1325 || Solobacterium moorei || 102148 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1326 || Sphingobacterium cellulitidis || 1768011 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1327 || Sphingobacterium hotanense || 649196 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1328 || Sphingobacterium multivorum || 28454 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1329 || Sphingobacterium spiritivorum || 258 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1330 || Sphingomonas koreensis || 93064 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1331 || Sphingomonas paucimobilis || 13689 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1332 || Spiroplasma apis || 2137 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1333 || Staphylococcus argenteus || 985002 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1334 || Staphylococcus aureus || 1280 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1335 || Staphylococcus borealis || 2742203 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1336 || Staphylococcus capitis || 29388 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1337 || Staphylococcus caprae || 29380 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1338 || Staphylococcus cohnii || 29382 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1339 || Staphylococcus condimenti || 70255 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1340 || Staphylococcus cornubiensis || 1986155 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1341 || Staphylococcus delphini || 53344 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1342 || Staphylococcus epidermidis || 1282 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1343 || Staphylococcus equorum || 246432 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1344 || Staphylococcus gallinarum || 1293 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1345 || Staphylococcus haemolyticus || 1283 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1346 || Staphylococcus hominis || 1290 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1347 || Staphylococcus hyicus || 1284 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1348 || Staphylococcus intermedius || 1285 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1349 || Staphylococcus lentus || 42858 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1350 || Staphylococcus lugdunensis || 28035 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1351 || Staphylococcus massiliensis || 555791 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1352 || Staphylococcus pasteuri || 45972 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1353 || Staphylococcus pettenkoferi || 170573 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1354 || Staphylococcus pseudintermedius || 283734 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1355 || Staphylococcus pseudolugdunensis || 425474 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1356 || Staphylococcus saccharolyticus || 33028 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1357 || Staphylococcus saprophyticus || 29385 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1358 || Staphylococcus schleiferi || 1295 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1359 || Mammaliicoccus sciuri(Staphylococcus sciuri) || 1296 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1360 || Staphylococcus simulans || 1286 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1361 || Staphylococcus succinus || 61015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1362 || Staphylococcus warneri || 1292 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1363 || Staphylococcus xylosus || 1288 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1364 || Stenotrophomonas africana || 1292134 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1365 || Stenotrophomonas maltophilia || 40324 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1366 || Stomatobaculum longum || 796942 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1367 || Streptobacillus hongkongensis || 1162717 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1368 || Streptobacillus moniliformis || 34105 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1369 || Streptococcus acidominimus || 1326 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1370 || Streptococcus agalactiae || 1311 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1371 || Streptococcus alactolyticus || 29389 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1372 || Streptococcus anginosus || 1328 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1373 || Streptococcus australis || 113107 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1374 || Streptococcus bovis || 1335 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1375 || Streptococcus canis || 1329 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1376 || Streptococcus constellatus || 76860 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1377 || Streptococcus criceti || 1333 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1378 || Streptococcus cristatus || 45634 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1379 || Streptococcus devriesei || 231233 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1380 || Streptococcus dysgalactiae || 1334 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1381 || Streptococcus equi || 1336 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1382 || Streptococcus equinus || 1335 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1383 || Streptococcus gallinaceus || 165758 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1384 || Streptococcus gordonii || 1302 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1385 || Streptococcus halichoeri || 254785 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1386 || Streptococcus hongkongensis || 910939 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1387 || Streptococcus infantarius || 102684 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1388 || Streptococcus iniae || 1346 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1389 || Streptococcus intermedius || 1338 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1390 || Streptococcus lactarius || 684066 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1391 || Streptococcus massiliensis || 313439 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1392 || Streptococcus merionis || 400065 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1393 || Streptococcus minor || 229549 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1394 || Streptococcus mitis || 28037 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1395 || Streptococcus mutans || 1309 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1396 || Streptococcus oralis || 1303 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1397 || Streptococcus parasanguinis || 1318 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1398 || Streptococcus pasteurianus || 197614 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1399 || Streptococcus pluranimalium || 82348 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1400 || Streptococcus pneumoniae || 1313 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1401 || Streptococcus porcinus || 1340 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1402 || Streptococcus pseudopneumoniae || 257758 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1403 || Streptococcus pseudoporcinus || 361101 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1404 || Streptococcus pyogenes || 1314 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1405 || Streptococcus salivarius || 1304 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1406 || Streptococcus sanguis || 1305 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1407 || Streptococcus sinensis || 176090 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1408 || Streptococcus sobrinus || 1310 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1409 || Streptococcus suis || 1307 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1410 || Streptococcus thoraltensis || 55085 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1411 || Streptococcus tigurinus || 1077464 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1412 || Streptococcus uberis || 1349 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1413 || Streptococcus urinalis || 149016 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1414 || Streptococcus vestibularis || 1343 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1415 || Streptomyces albus || 1888 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1416 || Streptomyces bikiniensis || 1896 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1417 || Streptomyces cacaoi || 1898 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1418 || Streptomyces griseus || 1911 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1419 || Streptomyces lanatus || 66900 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1420 || Streptomyces somaliensis || 78355 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1421 || Streptomyces thermovulgaris || 1934 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1422 || Sutterella wadsworthensis || 40545 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1423 || Suttonella indologenes || 13276 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1424 || Tannerella forsythia || 28112 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1425 || Tannerella serpentiformis || 712710 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1426 || Tatlockia maceachernii || 466 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1427 || Tatlockia micdadei || 451 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1428 || Tatumella ptyseos || 82987 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1429 || Tatumella saanichensis || 480813 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1430 || Tepidimonas arfidensis || 288769 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1431 || Terrisporobacter glycolicus || 36841 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1432 || Tissierella carlieri || 689904 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1433 || Tissierella praeacuta || 43131 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1434 || Treponema amylovorum || 59892 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1435 || Treponema carateum || 0 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1436 || Treponema denticola || 158 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1437 || Treponema lecithinolyticum || 53418 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1438 || Treponema maltophilum || 51160 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1439 || Treponema medium || 58231 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1440 || Treponema pallidum || 160 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1441 || Treponema parvum || 138851 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1442 || Treponema pectinovorum || 164 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1443 || Treponema putidum || 221027 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1444 || Treponema socranskii || 53419 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1445 || Tropheryma whippelii || 2039 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1446 || Tropheryma whipplei || 2039 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1447 || Trueperella bernardiae || 59561 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1448 || Trueperella pyogenes || 1661 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1449 || Tsukamurella asaccharolytica || 2592067 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1450 || Tsukamurella conjunctivitidis || 2592068 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1451 || Tsukamurella hominis || 1970232 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1452 || Tsukamurella hongkongensis || 1671023 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1453 || Tsukamurella inchonensis || 42777 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1454 || Tsukamurella ocularis || 1970234 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1455 || Tsukamurella paurometabola || 2061 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1456 || Tsukamurella pulmonis || 47312 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1457 || Tsukamurella sinensi || 1671022 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1458 || Tsukamurella sputi || 2591848 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1459 || Tsukamurella strandjordae || 147577 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1460 || Tsukamurella tyrosinosolvens || 57704 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1461 || Turicella otitidis || 29321 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1462 || Turicibacter sanguinis || 154288 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1463 || Ureaplasma urealyticum || 2130 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1464 || Vagococcus fluvialis || 2738 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1465 || Vagococcus lutrae || 81947 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1466 || Vagococcus vulneris || 1977869 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1467 || Varibaculum cambriensis || 184870 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1468 || Veillonella atypica || 39777 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1469 || Veillonella denticariosi || 419208 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1470 || Veillonella dispar || 39778 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1471 || Veillonella montpellierensis || 187328 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1472 || Veillonella parvula || 29466 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1473 || Veillonella rogosae || 423477 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1474 || Vibrio alginolyticus || 663 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1475 || Vibrio anguillarum || 55601 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1476 || Vibrio cholerae || 666 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1477 || Vibrio cidicii || 1763883 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1478 || Vibrio cincinnatiensis || 675 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1479 || Vibrio fluvialis || 676 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1480 || Vibrio furnissii || 29494 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1481 || Vibrio harveyi || 669 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1482 || Vibrio hollisae || 673 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1483 || Vibrio injenensis || 1307414 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1484 || Vibrio metschnikovii || 28172 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1485 || Vibrio mimicus || 674 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1486 || Vibrio parahaemolyticus || 670 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1487 || Vibrio vulnificus || 672 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1488 || Waddlia chondrophila || 71667 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1489 || Wautersiella falsenii || 343874 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1490 || Weeksella massiliensi || 1461577 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1491 || Weeksella virosa || 1014 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1492 || Weeksella zoohelcum || 1015 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1493 || Weissella confusa || 1583 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1494 || Williamsia deligens || 321325 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1495 || Williamsia muralis || 85044 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1496 || Williamsia serinedens || 391736 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1497 || Wohlfahrtiimonas chitiniclastica || 400946 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1498 || Wolinella succinogenes || 844 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1499 || Xenophilus aerolatus || 452922 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1500 || Yersinia bercovieri || 634 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1501 || Yersinia canariae || 2607663 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1502 || Yersinia enterocolitica || 630 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1503 || Yersinia frederiksenii || 29484 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1504 || Yersinia intermedia || 631 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1505 || Yersinia kristensenii || 28152 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1506 || Yersinia mollaretii || 33060 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1507 || Yersinia pestis || 632 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1508 || Yersinia pseudotuberculosis || 633 || PMID: 36748702 || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1509 || Yersinia rohdei || 29485 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1510 || Yersinia ruckeri || 29486 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1511 || Yokenella regensburgei || 158877 || PMID: 36748702 || &lt;br /&gt;
|-&lt;br /&gt;
| 1512 || Arcanobacteria haemolyticum || 28264 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1513 || Corynebacteria diphtheriae || 1717 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1514 || Corynebacteria striatum || 43770 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1515 || Cryptococcus neoformans || 5207 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1516 || Escherichia coli O104:H4 || 1038927 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1517 || Histoplasma capsulatum || 447093 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1518 || Mycobacteria avium || 1770 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1519 || Mycobacteria intracellulare || 1767 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1520 || Mycobacteria kansasii || 1768 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1521 || Mycobacteria tuberculosis || 1773 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1522 || Nocardia cyriacigeorgica || 135487 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1523 || Nocardia huaxiensis || 2755382 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1524 || Nocardia iowensis || 204891 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1525 || Nocardia salmonicida || 53431 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1526 || Nocardia sp. FDAARGOS_372 || 2018066 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1527 || Nocardia sp. NBC_00403 || 2975990 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1528 || Nocardia sp. NBC_00416 || 2975991 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1529 || Nocardia sp. NBC_00508 || 2975992 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1530 || Nocardia sp. NBC_00565 || 2975993 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1531 || Nocardia sp. NBC_01327 || 2903593 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1532 || Nocardia sp. NBC_01329 || 2903594 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1533 || Nocardia sp. NBC_01503 || 2975997 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1534 || Nocardia sp. NBC_01730 || 2975998 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1535 || Streptococcus sp. &#039;group B&#039; || 1319 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1536 || Streptococcus viridans || 78535 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1537 || Lactobacillus crispatus || 47770 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1538 || Achromobacter deleyi || 1353891 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1539 || Achromobacter pestifer || 1353889 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1540 || Acinetobacter sp. FDAARGOS_131 || 1876769 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1541 || Acinetobacter sp. FDAARGOS_493 || 2420300 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1542 || Acinetobacter sp. FDAARGOS_494 || 2420301 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1543 || Acinetobacter sp. FDAARGOS_495 || 2420302 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1544 || Acinetobacter sp. FDAARGOS_515 || 2420307 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1545 || Acinetobacter sp. FDAARGOS_541 || 2420312 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1546 || Acinetobacter sp. FDAARGOS_558 || 2420303 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1547 || Acinetobacter sp. FDAARGOS_559 || 2420304 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1548 || Acinetobacter sp. FDAARGOS_560 || 2420305 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1549 || Acinetobacter sp. FDAARGOS_724 || 2545797 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1550 || Aeromonas allosaccharophila || 656 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1551 || Aeromonas enteropelogenes || 29489 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1552 || Aeromonas sp. FDAARGOS 1402 || 2778051 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1553 || Aeromonas sp. FDAARGOS 1403 || 2778052 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1554 || Aeromonas sp. FDAARGOS 1404 || 2778053 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1555 || Aeromonas sp. FDAARGOS 1405 || 2778054 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1556 || Aeromonas sp. FDAARGOS 1406 || 2778055 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1557 || Aeromonas sp. FDAARGOS 1407 || 2778056 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1558 || Aeromonas sp. FDAARGOS 1408 || 2778057 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1559 || Aeromonas sp. FDAARGOS 1409 || 2778058 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1560 || Aeromonas sp. FDAARGOS 1410 || 2778059 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1561 || Aeromonas sp. FDAARGOS 1411 || 2778060 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1562 || Aeromonas sp. FDAARGOS 1414 || 2778063 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1563 || Aeromonas sp. FDAARGOS 1415 || 2778064 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1564 || Aeromonas sp. FDAARGOS 1416 || 2778065 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1565 || Aeromonas sp. FDAARGOS 1417 || 2778066 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1566 || Aeromonas sp. FDAARGOS 1418 || 2778067 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1567 || Aeromonas sp. FDAARGOS 1419 || 2778068 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1568 || Agrobacterium pusense || 648995 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1569 || Agrobacterium sp. FDAARGOS_525 || 2420311 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1570 || Alistipes senegalensis || 1288121 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1571 || Anaerococcus degeneri || 361500 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1572 || Anaerococcus obesiensis || 1287640 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1573 || Arachnia propionica || 1750 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1574 || Bacillus sp. (in: firmicutes) || 1409 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1575 || Bacillus sp. FDAARGOS_1420 || 2856338 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1576 || Bacillus sp. FDAARGOS_235 || 1839798 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1577 || Bacillus sp. FDAARGOS_527 || 2576356 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1578 || Bacillus tropicus || 2026188 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1579 || Bacteroides cellulosilyticus || 246787 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1580 || Bartonella henselae str. Houston-1 || 283166 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1581 || Bifidobacterium breve || 1685 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1582 || Blautia massiliensis (ex Durand et al. 2017) || 1737424 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1583 || Borreliella burgdorferi || 139 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1584 || Brucella anthropi || 529 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1585 || Burkholderia gladioli pv. gladioli || 32009 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1586 || Burkholderia humptydooensis || 430531 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1587 || Burkholderia plantarii || 41899 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1588 || Capnocytophaga sp. FDAARGOS_737 || 2545799 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1589 || Cedecea sp. FDAARGOS_727 || 2545798 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1590 || Chryseobacterium arthrosphaerae || 651561 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1591 || Chryseobacterium gallinarum || 1324352 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1592 || Chryseobacterium sp. FDAARGOS 1104 || 2778077 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1593 || Citrobacter europaeus || 1914243 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1594 || Citrobacter portucalensis || 1639133 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1595 || Citrobacter sp. FDAARGOS_156 || 1702170 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1596 || Clavispora lusitaniae || 36911 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1597 || Clostridium scindens || 29347 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1598 || Clostridium sp. M62/1 || 411486 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1599 || Collinsella stercoris || 445975 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1600 || Comamonas terrigena || 32013 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1601 || Coprococcus comes || 410072 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1602 || Coprococcus eutactus || 411474 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1603 || Corynebacterium kefirresidentii || 1979527 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1604 || Corynebacterium sp. FDAARGOS 1242 || 2778078 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1605 || Cryptococcus deneoformans || 214684 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1606 || Cryptococcus gattii || 37769 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1607 || Cupriavidus necator || 106590 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1608 || Dermabacter vaginalis || 1630135 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1609 || Dermacoccus nishinomiyaensis || 1274 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1610 || Enterobacter roggenkampii || 1812935 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1611 || Enterocloster bolteae || 208479 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1612 || Enterocloster clostridioformis || 1531 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1613 || Enterococcus sp. FDAARGOS_375 || 2060307 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1614 || Enterococcus sp. FDAARGOS_553 || 2420313 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1615 || Enterovirus A71 || 39054 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1616 || Enterovirus B || 138949 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1617 || Enterovirus C99 || 1295563 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1618 || Fannyhessea vaginae || 40545 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1619 || Faucicola osloensis || 34062 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1620 || Fusobacterium canifelinum || 285729 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1621 || Grimontia hollisae || 673 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1622 || Heyndrickxia coagulans || 1398 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1623 || Hoylesella buccalis || 28127 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1624 || Jonesia denitrificans || 43674 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1625 || Klebsiella michiganensis || 1134687 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1626 || Klebsiella sp. FDAARGOS_511 || 2488567 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1627 || Lachnospira eligens || 39485 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1628 || Lachnospiraceae bacterium GAM79 || 2109691 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1629 || Lacrimispora saccharolytica || 84030 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1630 || Lactococcus lactis || 1358 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1631 || Leishmania donovani || 5661 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1632 || Leuconostoc falkenbergense || 2766470 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1633 || Lomentospora prolificans || 41688 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1634 || Lysinibacillus macroides || 33935 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1635 || Macrococcoides caseolyticum || 69966 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1636 || Madurella fahalii || 1157608 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1637 || Mammaliicoccus vitulinus || 71237 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1638 || Mediterraneibacter gnavus || 33038 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1639 || Micrococcus sp. FDAARGOS_333 || 1930558 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1640 || Mycobacterium ostraviense || 2738409 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1641 || Mycobacteroides abscessus || 1185650 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1642 || Mycolicibacterium smegmatis || 1772 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1643 || Niallia circulans || 1397 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1644 || Pantoea sp. FDAARGOS_194 || 1975707 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1645 || Pantoea vagans || 470934 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1646 || Parabacteroides johnsonii || 387661 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1647 || Parabacteroides merdae || 46503 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1648 || Paraburkholderia fungorum || 134537 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1649 || Paraburkholderia ginsengisoli || 311231 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1650 || Paracoccus yeei || 147645 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1651 || Pediococcus acidilactici || 1254 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1652 || Pediococcus pentosaceus || 1255 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1653 || Peribacillus psychrosaccharolyticus || 1407 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1654 || Phocaeicola coprophilus || 387090 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1655 || Phocaeicola dorei(Bacteroides dorei) || 357276 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1656 || Pichia kudriavzevii || 4909 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1657 || Plasmodium falciparum || 36329 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1658 || Pseudomonas protegens || 380021 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1659 || Pseudomonas sp. FDAARGOS_380 || 2018067 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1660 || Pseudomonas sp. FDAARGOS_761 || 2545800 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1661 || Psychrobacter cryohalolentis || 330922 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1662 || Psychrobacter sp. FDAARGOS_221 || 1975705 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1663 || Rhodanobacter sp. FDAARGOS 1247 || 2778082 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1664 || Roseburia inulinivorans || 622312 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1665 || Roseobacter denitrificans || 2434 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1666 || Rothia kristinae || 37923 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1667 || Ruminococcus albus 8 || 246199 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1668 || Salmonella enterica subsp. enterica serovar Bredeney || 134047 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1669 || Salmonella enterica subsp. enterica serovar Hadar || 149385 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1670 || Salmonella enterica subsp. enterica serovar Heidelberg || 611 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1671 || Salmonella enterica subsp. enterica serovar Ohio || 117541 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1672 || Salmonella enterica subsp. enterica serovar Typhimurium || 90371 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1673 || Salmonella enterica subsp. enterica serovar Typhimurium var. 5- || 1620419 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1674 || Schaalia odontolytica || 1660 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1675 || Segatella copri || 537011 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1676 || Serratia sp. FDAARGOS_506 || 2420306 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1677 || Serratia ureilytica || 300181 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1678 || Severe acute respiratory syndrome coronavirus 2 || 2697049 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1679 || Shewanella putrefaciens || 24 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1680 || Shewanella sp. FDAARGOS_354 || 1930557 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1681 || Simplexvirus humanalpha1 || 10298 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1682 || Staphylococcus auricularis || 29379 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1683 || Staphylococcus carnosus || 1281 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1684 || Staphylococcus felis || 46127 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1685 || Staphylococcus sp. FDAARGOS_39 || 2201033 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1686 || Streptococcus gallolyticus || 315405 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1687 || Streptococcus lutetiensis || 150055 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1688 || Streptococcus sanguinis || 1305 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1689 || Streptococcus sp. FDAARGOS_146 || 1702171 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1690 || Streptococcus sp. FDAARGOS_192 || 1839799 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1691 || Streptococcus sp. FDAARGOS_256 || 1975706 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1692 || Streptococcus sp. FDAARGOS_520 || 2420308 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1693 || Streptococcus sp. FDAARGOS_521 || 2420309 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1694 || Streptococcus sp. FDAARGOS_522 || 2420310 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1695 || Streptococcus thermophilus || 322159 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1696 || Streptomyces californicus || 67351 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1697 || Stutzerimonas balearica || 74829 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1698 || Stutzerimonas degradans || 2968968 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1699 || Stutzerimonas frequens || 2968969 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1700 || Stutzerimonas stutzeri || 316 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1701 || Talaromyces marneffei || 37727 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1702 || Thomasclavelia ramosa || 1547 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1703 || Vibrio diabolicus || 50719 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1704 || Weissella paramesenteroides || 1249 ||  || FDA-ARGOS&lt;br /&gt;
|-&lt;br /&gt;
| 1705 || Yersinia sp. FDAARGOS_228 || 1839800 ||  || FDA-ARGOS&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Viral Pathogens ==&lt;br /&gt;
&amp;lt;div style=&amp;quot;height: 500px; overflow-y: auto;&amp;quot;&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
! # !! Organism Name !! NCBI_taxid !! Source_PMID !! Source_ARGOS !! Source_Uniprot&lt;br /&gt;
|-&lt;br /&gt;
| 1 || Ljunganvirus 1 (LV) (Ljungan virus 1) || 1001061 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 2 || Influenza C virus (strain C/Johannesburg/1/1966) || 100673 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 3 || Influenza A virus (strain A/Chicken/Hong Kong/220/1997 H5N1 genotype Gs/Gd) || 100834 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 4 || Cowpox virus (CPV) || 10243 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 5 || Monkeypox virus || 10244 ||  || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 6 || Vaccinia virus (strain LC16m0) (VACV) || 10246 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 7 || Vaccinia virus (strain WR 65-16) (VACV) || 10247 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 8 || Vaccinia virus (strain LC16m8) (VACV) || 10248 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 9 || Vaccinia virus (strain Copenhagen) (VACV) || 10249 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 10 || Vaccinia virus (strain Dairen I) (VACV) || 10250 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 11 || Vaccinia virus (strain IHD-J) (VACV) || 10251 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 12 || Vaccinia virus (strain Lister) (VACV) || 10252 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 13 || Vaccinia virus (strain Tian Tan) (VACV) || 10253 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 14 || Variola virus || 10255 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 15 || Orf virus (ORFV) || 10258 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 16 || Orf virus (strain NZ2) (OV NZ-2) || 10259 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 17 || Molluscum contagiosum virus subtype 1 (MOCV) (MCVI) || 10280 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 18 || Molluscum contagiosum virus subtype 2 (MOCV) (MCVII) || 10281 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 19 || Human herpesvirus 1 (HHV-1) (Human herpes simplex virus 1) || 10298 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 20 || Human herpesvirus 1 (strain 17) (HHV-1) (Human herpes simplex virus 1) || 10299 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 21 || Human herpesvirus 1 (strain A44) (HHV-1) (Human herpes simplex virus 1) || 10300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 22 || Human herpesvirus 1 (strain Angelotti) (HHV-1) (Human herpes simplex virus 1) || 10301 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 23 || Human herpesvirus 1 (strain CL101) (HHV-1) (Human herpes simplex virus 1) || 10302 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 24 || Human herpesvirus 1 (strain HFEM) (HHV-1) (Human herpes simplex virus 1) || 10303 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 25 || Human herpesvirus 1 (strain F) (HHV-1) (Human herpes simplex virus 1) || 10304 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 26 || Human herpesvirus 1 (strain HZT) (HHV-1) (Human herpes simplex virus 1) || 10305 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 27 || Human herpesvirus 1 (strain KOS) (HHV-1) (Human herpes simplex virus 1) || 10306 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 28 || Human herpesvirus 1 (strain MP) (HHV-1) (Human herpes simplex virus 1) || 10307 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 29 || Human herpesvirus 1 (strain Patton) (HHV-1) (Human herpes simplex virus 1) || 10308 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 30 || Human herpesvirus 1 (strain SC16) (HHV-1) (Human herpes simplex virus 1) || 10309 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 31 || Human herpesvirus 2 (HHV-2) (Human herpes simplex virus 2) || 10310 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 32 || Human herpesvirus 2 (strain 186) (HHV-2) (Human herpes simplex virus 2) || 10312 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 33 || Human herpesvirus 2 (strain 333) (HHV-2) (Human herpes simplex virus 2) || 10313 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 34 || Human herpesvirus 2 (strain G) (HHV-2) (Human herpes simplex virus 2) || 10314 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 35 || Human herpesvirus 2 (strain HG52) (HHV-2) (Human herpes simplex virus 2) || 10315 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 36 || Herpes simplex virus type 2 (strain SA8) (Simian agent 8) || 10316 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 37 || Cercopithecine herpesvirus 1 (CeHV-1) (Simian herpes B virus) || 10325 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 38 || Human herpesvirus 3 (HHV-3) (Varicella-zoster virus) || 10335 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 39 || Varicella-zoster virus (strain Dumas) (HHV-3) (Human herpesvirus 3) || 10338 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 40 || Human cytomegalovirus (HHV-5) (Human herpesvirus 5) || 10359 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 41 || Human cytomegalovirus (strain AD169) (HHV-5) (Human herpesvirus 5) || 10360 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 42 || Human cytomegalovirus (strain Eisenhardt) (HHV-5) (Human herpesvirus 5) || 10362 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 43 || Human cytomegalovirus (strain Towne) (HHV-5) (Human herpesvirus 5) || 10363 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 44 || Human herpesvirus 6A (strain GS) (HHV-6 variant A) (Human B lymphotropic virus) || 10369 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 45 || Human herpesvirus 6A (strain Uganda-1102) (HHV-6 variant A) (Human B lymphotropic virus) || 10370 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 46 || Epstein-Barr virus (strain GD1) (HHV-4) (Human gammaherpesvirus 4) || 10376 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 47 || Epstein-Barr virus (strain B95-8) (HHV-4) (Human herpesvirus 4) || 10377 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 48 || Epstein-Barr virus (strain Raji) (HHV-4) (Human herpesvirus 4) || 10378 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 49 || Coxsackievirus B1 (strain Japan) || 103902 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 50 || Coxsackievirus B3 (strain Nancy) || 103903 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 51 || Coxsackievirus B3 (strain Woodruff) || 103904 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 52 || Coxsackievirus B4 (strain E2) || 103905 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 53 || Coxsackievirus B4 (strain JVB / Benschoten / New York/51) || 103906 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 54 || Coxsackievirus B5 (strain Peterborough / 1954/UK/85) || 103907 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 55 || Echovirus 1 (strain Human/Egypt/Farouk/1951) (E-1) || 103908 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 56 || Echovirus 12 (strain Travis) || 103909 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 57 || Echovirus 16 (strain Harrington) || 103910 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 58 || Human parechovirus 1 (strain Harris) (HPeV-1) (Echovirus 22) || 103911 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 59 || Echovirus 6 (strain Charles) || 103913 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 60 || Echovirus 9 (strain Barty) || 103914 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 61 || Echovirus 9 (strain Hill) || 103915 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 62 || Human herpesvirus 2 (strain B4327UR) (HHV-2) (Human herpes simplex virus 2) || 103921 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 63 || Human enterovirus 71 (strain 7423/MS/87) (EV71) (EV-71) || 103922 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 64 || Rabies virus (strain Pasteur vaccins / PV) (RABV) || 103929 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 65 || Hepatitis B virus (HBV) || 10407 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 66 || Hepatitis B virus genotype C subtype adr (strain Japan/adr4/1983) (HBV-C) || 10409 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 67 || Hepatitis B virus genotype A2 subtype adw2 (isolate Germany/991/1990) (HBV-A) || 10410 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 68 || Hepatitis B virus genotype D (isolate France/alpha1/1989) (HBV-D) || 10411 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 69 || Hepatitis B virus genotype B2 (isolate Indonesia/pIDW420/1988) (HBV-B) || 10412 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 70 || Hepatitis B virus genotype B1 subtype adw (isolate Japan/pJDW233/1988) (HBV-B) || 10413 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 71 || Hepatitis B virus genotype B/C subtype adw (isolate Okinawa/pODW282/1998) (HBV-B) || 10415 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 72 || Hepatitis B virus genotype D subtype adw (isolate United Kingdom/adyw/1979) (HBV-D) || 10419 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 73 || Hepatitis delta virus genotype II (isolate 7/18/83) (HDV) || 10421 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 74 || Hepatitis delta virus genotype I (isolate American) (HDV) || 10422 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 75 || Hepatitis delta virus genotype I (isolate Italian) (HDV) || 10423 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 76 || Hepatitis delta virus genotype I (isolate Japanese M-1) (HDV) || 10424 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 77 || Hepatitis delta virus genotype I (isolate Japanese M-2) (HDV) || 10425 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 78 || Hepatitis delta virus genotype I (isolate Nauru) (HDV) || 10426 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 79 || Hepatitis delta virus genotype II (isolate Japanese S-1) (HDV) || 10427 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 80 || Hepatitis delta virus genotype I (isolate Japanese S-2) (HDV) || 10428 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 81 || Human adenovirus C serotype 2 (HAdV-2) (Human adenovirus 2) || 10515 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 82 || Human adenovirus B serotype 7 (HAdV-7) (Human adenovirus 7) || 10519 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 83 || Human adenovirus B serotype 35 (HAdV-35) (Human adenovirus 35) || 10522 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 84 || Human adenovirus F serotype 41 (HAdV-41) (Human adenovirus 41) || 10524 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 85 || Human adenovirus D serotype 9 (HAdV-9) (Human adenovirus 9) || 10527 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 86 || Human adenovirus A serotype 18 (HAdV-18) (Human adenovirus 18) || 10528 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 87 || Human adenovirus A serotype 31 (HAdV-31) (Human adenovirus 31) || 10529 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 88 || Human adenovirus C serotype 1 (HAdV-1) (Human adenovirus 1) || 10533 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 89 || Human adenovirus C serotype 6 (HAdV-6) (Human adenovirus 6) || 10534 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 90 || Human papillomavirus 13 || 10573 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 91 || Human papillomavirus type 8 || 10579 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 92 || Human papillomavirus 11 || 10580 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 93 || Human papillomavirus type 1 (Human papillomavirus type 1a) || 10583 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 94 || Human papillomavirus type 2a || 10584 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 95 || Human papillomavirus 31 || 10585 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 96 || Human papillomavirus 33 || 10586 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 97 || Human papillomavirus 35 || 10587 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 98 || Human papillomavirus 39 || 10588 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 99 || Human papillomavirus type 41 || 10589 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 100 || Human papillomavirus 42 || 10590 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 101 || Human papillomavirus 43 || 10591 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 102 || Human papillomavirus 44 || 10592 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 103 || Human papillomavirus 45 || 10593 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 104 || Human papillomavirus 47 || 10594 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 105 || Human papillomavirus 51 || 10595 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 106 || Human papillomavirus 56 || 10596 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 107 || Human papillomavirus 58 || 10598 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 108 || Human papillomavirus type 5b || 10599 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 109 || Human papillomavirus type 6b || 10600 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 110 || Human papillomavirus type 6c || 10601 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 111 || Human papillomavirus type ME180 || 10602 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 112 || Human papillomavirus 12 || 10604 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 113 || Human papillomavirus 14 || 10605 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 114 || Human papillomavirus 15 || 10606 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 115 || Human papillomavirus 17 || 10607 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 116 || Human papillomavirus 19 || 10608 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 117 || Human papillomavirus 25 || 10609 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 118 || Human papillomavirus 30 || 10611 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 119 || Human papillomavirus 3 || 10614 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 120 || Human papillomavirus 40 || 10615 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 121 || Human papillomavirus type 49 || 10616 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 122 || Human papillomavirus 4 || 10617 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 123 || Human papillomavirus 52 || 10618 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 124 || Human papillomavirus 7 || 10620 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 125 || Human papillomavirus 9 || 10621 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 126 || BK polyomavirus (strain AS) (BKPyV) || 10631 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 127 || JC polyomavirus (JCPyV) (JCV) || 10632 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 128 || Hepatitis B virus subtype adr (HBV) || 106820 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 129 || Hepatitis B virus subtype adw (HBV) || 106821 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 130 || Influenza B virus (strain B/Ibaraki/2/1985) || 107411 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 131 || Influenza B virus (strain B/Singapore/222/1979) || 107417 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 132 || Influenza B virus (strain B/Victoria/2/1987) || 1077587 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 133 || Human parvovirus B19 (HPV B19) || 10798 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 134 || Influenza A virus (strain A/Niigata/137/1996 H3N2) || 109049 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 135 || Rotavirus B (isolate RVB/Human/China/ADRV/1982) (RV-B) (Rotavirus B (isolate adult diarrhea rotavirus)) || 10942 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 136 || Rotavirus A (isolate RVA/Human/Sweden/1076/1983/G2P2A[6]) (RV-A) || 10944 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 137 || Rotavirus A (strain RVA/Human/Indonesia/69M/1980/G8P4[10]) (RV-A) || 10947 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 138 || Rotavirus A (isolate RVA/Human/Australia/Hu5/1977/G2P[X]) (RV-A) (Rotavirus A (isolate Hu/5)) || 10948 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 139 || Rotavirus A (strain RVA/Human/Indonesia/B37/XXXX/G8P[X]) (RV-A) || 10949 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 140 || Rotavirus A (strain RVA/Human/United States/DS-1/1976/G2P1B[4]) (RV-A) (Rotavirus A (strain DS1)) || 10950 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 141 || Rotavirus A (strain RVA/Human/Venezuela/HN126/1983/G2P[X]) (RV-A) (Rotavirus A (strain HN-126)) || 10951 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 142 || Rotavirus A (strain RVA/Human/Japan/KU/1995/G1P1A[8]) (RV-A) || 10952 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 143 || Rotavirus A (strain RVA/Human/Philippines/L26/1987/G12P1B[4]) (RV-A) || 10953 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 144 || Rotavirus A (strain RVA/Human/Venezuela/M37/1982/G1P2A[6]) (RV-A) || 10954 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 145 || Rotavirus A (isolate RVA/Human/Australia/McN13/1980/G3P2A[6]) (RV-A) || 10955 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 146 || Rotavirus A (strain RVA/Human/Japan/MO/1982/G3P1A[8]) (RV-A) || 10956 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 147 || Rotavirus A (strain RVA/Human/United States/P/1974/G3P1A[8]) (RV-A) || 10957 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 148 || Rotavirus A (strain RVA/Human/Japan/S2/1980/G2P1B[4]) (RV-A) || 10959 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 149 || Rotavirus A (strain RVA/Human/United Kingdom/ST3/1975/G4P2A[6]) (RV-A) (Rotavirus A (strain St. Thomas 3)) || 10960 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 150 || Rotavirus A (isolate RVA/Human/Italy/VA70/1975/G4P1A[8]) (RV-A) || 10961 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 151 || Rotavirus A (strain RVA/Human/United States/Wa/1974/G1P1A[8]) (RV-A) || 10962 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 152 || Barmah forest virus (BFV) || 11020 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 153 || Eastern equine encephalitis virus (EEEV) (Eastern equine encephalomyelitis virus) || 11021 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 154 || Eastern equine encephalitis virus (strain va33[ten broeck]) (EEEV) (Eastern equine encephalomyelitis virus) || 11022 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 155 || O&#039;nyong-nyong virus (strain Gulu) (ONNV) || 11028 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 156 || Ross river virus (strain 213970) (RRV) || 11030 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 157 || Ross river virus (strain NB5092) (RRV) || 11031 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 158 || Ross river virus (strain T48) (RRV) || 11032 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 159 || Semliki forest virus (SFV) || 11033 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 160 || Sindbis virus (SINV) || 11034 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 161 || Venezuelan equine encephalitis virus (strain TC-83) (VEEV) || 11037 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 162 || Venezuelan equine encephalitis virus (strain Trinidad donkey) (VEEV) || 11038 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 163 || Western equine encephalitis virus (WEEV) || 11039 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 164 || Rubella virus (RUBV) || 11041 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 165 || Rubella virus (strain M33) (RUBV) || 11043 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 166 || Rubella virus (strain RA27/3 vaccine) (RUBV) || 11044 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 167 || Rubella virus (strain Therien) (RUBV) || 11045 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 168 || Dengue virus type 1 (strain Thailand/AHF 82-80/1980) (DENV-1) || 11057 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 169 || Dengue virus type 1 (strain Jamaica/CV1636/1977) (DENV-1) || 11058 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 170 || Dengue virus type 1 (strain Nauru/West Pac/1974) (DENV-1) || 11059 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 171 || Dengue virus type 2 (isolate Malaysia M2) (DENV-2) || 11062 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 172 || Dengue virus type 2 (isolate Malaysia M3) (DENV-2) || 11063 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 173 || Dengue virus type 2 (strain Jamaica/1409/1983) (DENV-2) || 11064 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 174 || Dengue virus type 2 (strain Thailand/NGS-C/1944) (DENV-2) || 11065 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 175 || Dengue virus type 2 (strain Puerto Rico/PR159-S1/1969) (DENV-2) || 11066 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 176 || Dengue virus type 2 (strain Tonga/EKB194/1974) (DENV-2) || 11067 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 177 || Dengue virus type 2 (strain Thailand/PUO-218/1980) (DENV-2) || 11068 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 178 || Japanese encephalitis virus (strain SA-14) (JEV) || 11073 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 179 || Japanese encephalitis virus (strain SA(v)) (JEV) || 11074 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 180 || Japanese encephalitis virus (strain Jaoars982) (JEV) || 11075 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 181 || Japanese encephalitis virus (strain Nakayama) (JEV) || 11076 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 182 || Kunjin virus (strain MRM61C) || 11078 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 183 || St. louis encephalitis virus (strain MS1-7) || 11081 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 184 || West Nile virus (WNV) || 11082 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 185 || Louping ill virus (LIV) || 11086 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 186 || Tick-borne encephalitis virus Far Eastern subtype (strain Sofjin) (SOFV) (Sofjin virus) || 11087 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 187 || Tick-borne encephalitis virus European subtype (strain Neudoerfl) (NEUV) (Neudoerfl virus) || 11088 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 188 || Yellow fever virus (strain 17D vaccine) (YFV) || 11090 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 189 || Hepatitis C virus genotype 1a (isolate 1) (HCV) || 11104 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 190 || Hepatitis C virus genotype 1b (isolate BK) (HCV) || 11105 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 191 || Hepatitis C virus (isolate EC10) (HCV) || 11106 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 192 || Hepatitis C virus (isolate EC1) (HCV) || 11107 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 193 || Hepatitis C virus (isolate HCT27) (HCV) || 11109 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 194 || Hepatitis C virus (isolate HCT18) (HCV) || 11110 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 195 || Hepatitis C virus (isolate HC-J2) (HCV) || 11111 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 196 || Hepatitis C virus (isolate HC-J5) (HCV) || 11112 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 197 || Hepatitis C virus genotype 2a (isolate HC-J6) (HCV) || 11113 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 198 || Hepatitis C virus (isolate HC-J7) (HCV) || 11114 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 199 || Hepatitis C virus genotype 2b (isolate HC-J8) (HCV) || 11115 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 200 || Hepatitis C virus genotype 1b (isolate Japanese) (HCV) || 11116 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 201 || Hepatitis C virus (isolate TH) (HCV) || 11117 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 202 || Human coronavirus 229E (HCoV-229E) || 11137 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 203 || Mumps virus (strain Edingburgh 2) (MuV) || 11162 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 204 || Mumps virus (strain Edingburgh 4) (MuV) || 11163 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 205 || Mumps virus (strain Edingburgh 6) (MuV) || 11164 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 206 || Mumps virus (strain Matsuyama) (MuV) || 11165 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 207 || Mumps virus (strain Belfast) (MuV) || 11166 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 208 || Mumps virus (strain Enders) (MuV) || 11167 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 209 || Mumps virus genotype A (strain Jeryl-Lynn) (MuV) || 11168 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 210 || Mumps virus (strain Kilham) (MuV) || 11169 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 211 || Mumps virus (strain Bristol 1) (MuV) || 11170 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 212 || Mumps virus genotype B (strain Miyahara vaccine) (MuV) || 11171 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 213 || Mumps virus (strain RW) (MuV) || 11172 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 214 || Mumps virus (strain SBL-1) (MuV) || 11173 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 215 || Mumps virus (strain Takahashi) (MuV) || 11174 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 216 || Mumps virus genotype B (strain Urabe vaccine AM9) (MuV) || 11175 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 217 || Parainfluenza virus 5 (strain W3) (PIV5) (Simian virus 5) || 11208 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 218 || Human parainfluenza 1 virus (strain C39) (HPIV-1) || 11210 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 219 || Human parainfluenza 1 virus (strain Washington/1957) (HPIV-1) || 11211 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 220 || Human parainfluenza 2 virus (strain Greer) (HPIV-2) || 11213 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 221 || Human parainfluenza 2 virus (strain Toshiba) (HPIV-2) || 11214 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 222 || Human parainfluenza 3 virus (strain Wash/47885/57) (HPIV-3) (Human parainfluenza 3 virus (strain NIH 47885)) || 11217 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 223 || Human parainfluenza 3 virus (strain Aus/124854/74) (HPIV-3) || 11218 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 224 || Human parainfluenza 3 virus (strain Tex/545/80) (HPIV-3) || 11219 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 225 || Human parainfluenza 3 virus (strain Tex/9305/82) (HPIV-3) || 11220 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 226 || Human parainfluenza 3 virus (strain Tex/12677/83) (HPIV-3) || 11221 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 227 || Human parainfluenza 3 virus (strain Wash/641/79) (HPIV-3) || 11222 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 228 || Human parainfluenza 3 virus (strain Wash/1511/73) (HPIV-3) || 11223 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 229 || Human parainfluenza 4a virus (strain Toshiba) (HPIV-4a) || 11225 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 230 || Human parainfluenza 4b virus (strain 68-333) (HPIV-4b) || 11227 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 231 || Measles virus (strain Edmonston) (MeV) (Subacute sclerose panencephalitis virus) || 11235 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 232 || Measles virus (strain Halle) (MeV) (Subacute sclerose panencephalitis virus) || 11236 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 233 || Measles virus (strain IP-3-Ca) (MeV) (Subacute sclerose panencephalitis virus) || 11237 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 234 || Measles virus (strain Hu2) (MeV) (Subacute sclerose panencephalitis virus) || 11238 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 235 || Measles virus (strain Yamagata-1) (MeV) (Subacute sclerose panencephalitis virus) || 11239 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 236 || Human respiratory syncytial virus || 11250 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 237 || Human respiratory syncytial virus B (strain 18537) || 11251 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 238 || Human respiratory syncytial virus A (strain rsb642) || 11252 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 239 || Human respiratory syncytial virus A (strain rsb1734) || 11253 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 240 || Human respiratory syncytial virus A (strain rsb5857) || 11254 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 241 || Human respiratory syncytial virus A (strain rsb6190) || 11255 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 242 || Human respiratory syncytial virus A (strain rsb6256) || 11256 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 243 || Human respiratory syncytial virus A (strain rsb6614) || 11257 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 244 || Human respiratory syncytial virus B (strain 8/60) || 11258 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 245 || Human respiratory syncytial virus A (strain A2) || 11259 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 246 || Human respiratory syncytial virus A (strain RSS-2) || 11261 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 247 || Chandipura virus (strain I653514) (CHPV) || 11273 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 248 || Vesicular stomatitis Indiana virus (strain Glasgow) (VSIV) || 11278 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 249 || Vesicular stomatitis Indiana virus (strain Mudd-Summers) (VSIV) || 11279 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 250 || Vesicular stomatitis New Jersey virus (strain Hazelhurst subtype Hazelhurst) (VSNJV) || 11281 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 251 || Vesicular stomatitis New Jersey virus (strain Missouri subtype Hazelhurst) (VSNJV) || 11282 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 252 || Vesicular stomatitis New Jersey virus (strain Ogden subtype Concan) (VSNJV) || 11283 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 253 || Vesicular stomatitis Indiana virus (strain Orsay) (VSIV) || 11284 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 254 || Vesicular stomatitis Indiana virus (strain San Juan) (VSIV) || 11285 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 255 || Rabies virus (strain PM1503/AVO1) (RABV) || 11293 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 256 || Rabies virus (strain CVS-11) (RABV) || 11294 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 257 || Rabies virus (strain ERA) (RABV) || 11295 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 258 || Rabies virus (strain HEP-Flury) (RABV) || 11296 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 259 || Rabies virus (strain PM) (RABV) || 11297 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 260 || Rabies virus (strain Nishigahara RCEH) (RABV) || 11298 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 261 || Rabies virus (strain SAD B19) (RABV) || 11300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 262 || Dhori virus (strain Indian/1313/61) (Dho) || 11319 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 263 || Influenza A virus (strain A/Chicken/Japan/1924 H7N7) || 11340 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 264 || Influenza A virus (strain A/Dunedin/4/1973 H3N2) || 11375 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 265 || Influenza A virus (strain A/Chicken/Weybridge H7N7) (Influenza A virus (strain A/FPV/Weybridge H7N7)) || 11384 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 266 || Influenza A virus (strain A/Equine/Cor/16/1974 H7N7) || 11397 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 267 || Influenza A virus (strain A/Equine/Tokyo/1971 H3N2) || 11418 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 268 || Influenza A virus (strain A/Victoria/5/1968 H2N2) || 11482 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 269 || Influenza A virus (strain A/Swine/Germany/2/1981 H1N1) || 11495 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 270 || Influenza B virus || 11520 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 271 || Influenza B virus (strain B/Ann Arbor/1/1986) || 11521 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 272 || Influenza B virus (strain B/Ann Arbor/1/1966 [cold-adapted]) || 11522 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 273 || Influenza B virus (strain B/Ann Arbor/1/1966 [wild-type]) || 11523 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 274 || Influenza B virus (strain B/BA/1978) || 11524 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 275 || Influenza B virus (strain B/Beijing/1/1987) || 11525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 276 || Influenza B virus (strain B/England/222/1982) || 11527 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 277 || Influenza B virus (strain B/Fukuoka/80/1981) || 11528 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 278 || Influenza B virus (strain B/GA/1986) || 11529 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 279 || Influenza B virus (strain B/GL/1954) || 11530 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 280 || Influenza B virus (strain B/HT/1984) || 11532 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 281 || Influenza B virus (strain B/ID/1986) || 11534 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 282 || Influenza B virus (strain B/Leningrad/179/1986) || 11536 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 283 || Influenza B virus (strain B/Maryland/1959) || 11537 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 284 || Influenza B virus (strain B/Memphis/6/1986) || 11538 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 285 || Influenza B virus (strain B/Nagasaki/1/1987) || 11540 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 286 || Influenza B virus (strain B/Oregon/5/1980) || 11541 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 287 || Influenza B virus (strain B/PA/1979) || 11542 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 288 || Influenza B virus (strain B/RU/1969) || 11543 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 289 || Influenza B virus (strain B/Singapore/1964) || 11545 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 290 || Influenza B virus (strain B/Victoria/3/1985) || 11547 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 291 || Influenza B virus (strain B/Victoria/1987) || 11548 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 292 || Influenza B virus (strain B/Yamagata/1/1973) || 11550 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 293 || Influenza C virus (strain C/Ann Arbor/1/1950) || 11553 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 294 || Influenza C virus (strain C/Berlin/1/1985) || 11554 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 295 || Influenza C virus (strain C/England/892/1983) || 11556 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 296 || Influenza C virus (strain C/Great lakes/1167/1954) || 11557 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 297 || Influenza C virus (strain C/JJ/1950) || 11560 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 298 || Influenza C virus (strain C/Pig/Beijing/10/1981) || 11564 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 299 || Influenza C virus (strain C/Pig/Beijing/439/1982) || 11566 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 300 || Influenza C virus (strain C/Taylor/1233/1947) || 11567 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 301 || Influenza C virus (strain C/Yamagata/10/1981) || 11568 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 302 || Bunyavirus La Crosse || 11577 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 303 || Bunyavirus La Crosse (isolate Aedes triseriatus/United States/L74/1974) || 11578 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 304 || Bunyavirus snowshoe hare || 11580 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 305 || Hantaan virus (strain Hojo) (Hojo virus) (Korean hemorrhagic fever virus) || 11583 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 306 || Punta toro phlebovirus || 11587 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 307 || Rift valley fever virus (RVFV) || 11588 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 308 || Rift valley fever virus (strain ZH-548 M12) (RVFV) || 11589 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 309 || Toscana virus (Tos) || 11590 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 310 || Uukuniemi virus (UUKV) || 11591 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 311 || Crimean-Congo hemorrhagic fever virus (isolate C68031) (CCHFV) || 11594 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 312 || Hantaan virus (strain Lee) (Lee virus) (Korean hemorrhagic fever virus) || 11601 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 313 || Hantaan virus (strain 76-118) (Korean hemorrhagic fever virus) || 11602 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 314 || Seoul virus (strain SR-11) (Sapporo rat virus) || 11610 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 315 || Lassa virus (strain GA391) (LASV) || 11621 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 316 || Lassa virus (strain Mouse/Sierra Leone/Josiah/1976) (LASV) || 11622 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 317 || Lymphocytic choriomeningitis virus (strain Armstrong) (LCMV) || 11624 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 318 || Lymphocytic choriomeningitis virus (strain Pasteur) (LCMV) || 11625 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 319 || Lymphocytic choriomeningitis virus (strain Traub) (LCMV) || 11626 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 320 || Lymphocytic choriomeningitis virus (strain WE) (LCMV) || 11627 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 321 || Simian foamy virus type 3 (strain LK3) (SFVagm) (SFV-3) || 11644 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 322 || Human immunodeficiency virus type 1 (HIV-1) || 11676 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 323 || Human immunodeficiency virus type 1 group M subtype B (isolate BH10) (HIV-1) || 11678 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 324 || Human immunodeficiency virus type 1 group M subtype B (isolate PCV12) (HIV-1) || 11679 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 325 || Human immunodeficiency virus type 1 group M subtype U (isolate Z3) (HIV-1) || 11680 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 326 || Human immunodeficiency virus type 1 group M subtype D (isolate Z84) (HIV-1) || 11681 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 327 || Human immunodeficiency virus type 1 group M subtype B (isolate BH5) (HIV-1) || 11682 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 328 || Human immunodeficiency virus type 1 group M subtype D (isolate Z2/CDC-Z34) (HIV-1) || 11683 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 329 || Human immunodeficiency virus type 1 group M subtype B (isolate BH8) (HIV-1) || 11684 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 330 || Human immunodeficiency virus type 1 group M subtype B (isolate ARV2/SF2) (HIV-1) || 11685 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 331 || Human immunodeficiency virus type 1 group M subtype B (isolate BRU/LAI) (HIV-1) || 11686 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 332 || Human immunodeficiency virus type 1 group M subtype B (isolate CDC-451) (HIV-1) || 11687 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 333 || Human immunodeficiency virus type 1 group M subtype B (isolate JRCSF) (HIV-1) || 11688 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 334 || Human immunodeficiency virus type 1 group M subtype D (isolate ELI) (HIV-1) || 11689 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 335 || Human immunodeficiency virus type 1 group M subtype B (isolate SF33) (HIV-1) || 11690 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 336 || Human immunodeficiency virus type 1 group M subtype B (isolate SF162) (HIV-1) || 11691 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 337 || Human immunodeficiency virus type 1 group M subtype A (isolate Z321) (HIV-1) || 11692 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 338 || Human immunodeficiency virus type 1 group M subtype B (isolate BRVA) (HIV-1) || 11693 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 339 || Human immunodeficiency virus type 1 group M subtype B (isolate JH32) (HIV-1) || 11694 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 340 || Human immunodeficiency virus type 1 group M subtype D (isolate NDK) (HIV-1) || 11695 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 341 || Human immunodeficiency virus type 1 group M subtype B (isolate MN) (HIV-1) || 11696 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 342 || Human immunodeficiency virus type 1 group M subtype A (isolate MAL) (HIV-1) || 11697 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 343 || Human immunodeficiency virus type 1 group M subtype B (isolate NY5) (HIV-1) || 11698 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 344 || Human immunodeficiency virus type 1 group M subtype B (isolate OYI) (HIV-1) || 11699 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 345 || Human immunodeficiency virus type 1 group M subtype B (isolate RF/HAT3) (HIV-1) || 11701 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 346 || Human immunodeficiency virus type 1 group M subtype B (isolate SC) (HIV-1) || 11702 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 347 || Human immunodeficiency virus type 1 group M subtype A (isolate U455) (HIV-1) || 11703 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 348 || Human immunodeficiency virus type 1 group M subtype B (isolate MFA) (HIV-1) || 11704 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 349 || Human immunodeficiency virus type 1 group M subtype B (isolate WMJ22) (HIV-1) || 11705 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 350 || Human immunodeficiency virus type 1 group M subtype B (isolate HXB2) (HIV-1) || 11706 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 351 || Human immunodeficiency virus type 1 group M subtype B (isolate HXB3) (HIV-1) || 11707 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 352 || Human immunodeficiency virus type 1 group M subtype D (isolate Z6) (HIV-1) || 11708 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 353 || Human immunodeficiency virus 2 || 11709 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 354 || Human immunodeficiency virus type 2 subtype A (isolate D194) (HIV-2) || 11713 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 355 || Human immunodeficiency virus type 2 subtype A (isolate BEN) (HIV-2) || 11714 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 356 || Human immunodeficiency virus type 2 subtype A (isolate CAM2) (HIV-2) || 11715 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 357 || Human immunodeficiency virus type 2 subtype B (isolate D205) (HIV-2) || 11716 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 358 || Human immunodeficiency virus type 2 subtype A (isolate Ghana-1) (HIV-2) || 11717 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 359 || Human immunodeficiency virus type 2 subtype A (isolate SBLISY) (HIV-2) || 11718 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 360 || Human immunodeficiency virus type 2 subtype A (isolate NIH-Z) (HIV-2) || 11719 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 361 || Human immunodeficiency virus type 2 subtype A (isolate ROD) (HIV-2) || 11720 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 362 || Human immunodeficiency virus type 2 subtype A (isolate ST) (HIV-2) || 11721 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 363 || Human T-cell leukemia virus 2 (HTLV-2) || 11909 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 364 || Human T-cell leukemia virus 1 (strain Japan ATK-1 subtype A) (HTLV-1) || 11926 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 365 || Human T-cell leukemia virus 1 (isolate Caribbea HS-35 subtype A) (HTLV-1) || 11927 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 366 || Human T-cell leukemia virus 1 (strain Japan MT-2 subtype A) (HTLV-1) || 11928 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 367 || Human spumaretrovirus (SFVcpz(hu)) (Human foamy virus) || 11963 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 368 || Echo 9 virus (EV-9) (Coxsackievirus A23) || 12060 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 369 || Coxsackievirus A9 (strain Griggs) || 12068 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 370 || Coxsackievirus A21 (strain Coe) || 12070 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 371 || Poliovirus type 1 (strain Mahoney) || 12081 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 372 || Poliovirus type 1 (strain Sabin) || 12082 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 373 || Poliovirus type 2 (strain Lansing) || 12084 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 374 || Poliovirus type 2 (strain W-2) || 12085 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 375 || Poliovirus type 3 (strain 23127) || 12087 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 376 || Poliovirus type 3 (strains P3/Leon/37 and P3/Leon 12A[1]B) || 12088 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 377 || Human hepatitis A virus genotype IA (isolate LCDC-1) (HHAV) (Human hepatitis A virus (isolate Human/China/LCDC-1/1984)) || 12093 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 378 || Human hepatitis A virus genotype IA (isolate CR326) (HHAV) (Human hepatitis A virus (isolate Human/Costa Rica/CR326/1960)) || 12097 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 379 || Human hepatitis A virus genotype IB (isolate HM175) (HHAV) (Human hepatitis A virus (isolate Human/Australia/HM175/1976)) || 12098 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 380 || Human hepatitis A virus genotype IA (isolate LA) (HHAV) (Human hepatitis A virus (isolate Human/Northern California/LA/1974)) || 12099 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 381 || Human hepatitis A virus genotype IB (isolate MBB) (HHAV) (Human hepatitis A virus (isolate Human/Northern Africa/MBB/1978)) || 12100 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 382 || Encephalomyocarditis virus || 12104 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 383 || Encephalomyocarditis virus (strain emc-b nondiabetogenic) || 12105 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 384 || Encephalomyocarditis virus (strain emc-d diabetogenic) || 12106 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 385 || Mengo encephalomyocarditis virus || 12107 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 386 || Human rhinovirus 2 (HRV-2) || 12130 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 387 || Human rhinovirus 14 (HRV-14) || 12131 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 388 || Human rhinovirus 89 (HRV-89) || 12132 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 389 || Human rhinovirus 1A (HRV-1A) || 12134 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 390 || Human rhinovirus 23 (HRV-23) || 12135 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 391 || Bhanja virus (BHAV) || 1213620 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 392 || Heartland virus (HTRV) || 1216928 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 393 || Human parechovirus 5 (strain CT86-6760) (HPeV-5) (Echovirus 23) || 122961 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 394 || Human parechovirus 2 (strain Williamson) (HPeV-2) (Echovirus 23) || 122962 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 395 || Non-A non-B hepatitis virus || 12440 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 396 || Human astrovirus-1 (HAstV-1) || 12456 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 397 || Hepatitis delta virus (HDV) || 12475 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 398 || Omsk hemorrhagic fever virus (OHFV) || 12542 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 399 || Seoul virus (strain 80-39) || 12557 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 400 || Middle East respiratory syndrome-related coronavirus (isolate United Kingdom/H123990006/2012) (MERS-CoV) (Betacoronavirus England 1) || 1263720 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 401 || Vaccinia virus (strain Ankara) (VACV) || 126794 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 402 || Human astrovirus-2 (HAstV-2) || 12701 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 403 || Influenza C virus (strain C/Nara/2/1985) || 127957 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 404 || Influenza C virus (strain C/Yamagata/4/1988) || 127958 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 405 || Zaire ebolavirus (strain Gabon-94) (ZEBOV) (Zaire Ebola virus) || 128947 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 406 || Sudan ebolavirus (strain Boniface-76) (SEBOV) (Sudan Ebola virus) || 128948 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 407 || Sudan ebolavirus (strain Maleo-79) (SEBOV) (Sudan Ebola virus) || 128949 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 408 || Zaire ebolavirus (strain Kikwit-95) (ZEBOV) (Zaire Ebola virus) || 128951 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 409 || Zaire ebolavirus (strain Mayinga-76) (ZEBOV) (Zaire Ebola virus) || 128952 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 410 || Tai Forest ebolavirus (strain Cote d&#039;Ivoire-94) (TAFV) (Cote d&#039;Ivoire Ebola virus) || 128999 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 411 || Zaire ebolavirus (strain Eckron-76) (ZEBOV) (Zaire Ebola virus) || 129000 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 412 || Reston ebolavirus (strain Philippines-96) (REBOV) (Reston Ebola virus) || 129003 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 413 || Reston ebolavirus (strain Siena/Philippine-92) (REBOV) (Reston Ebola virus) || 129004 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 414 || Human papillomavirus 82 || 129724 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 415 || Influenza A virus (strain A/Hong Kong/156/1997 H5N1 genotype Gs/Gd) || 130763 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 416 || Yaba-like disease virus (YLDV) || 132475 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 417 || Measles virus (strain Edmonston-Moraten vaccine) (MeV) (Subacute sclerose panencephalitis virus) || 132484 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 418 || Measles virus (strain Edmonston-Schwarz vaccine) (MeV) (Subacute sclerose panencephalitis virus) || 132487 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 419 || Influenza A virus (strain A/X-31 H3N2) || 132504 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 420 || Puumala virus (strain Bank vole/Russia/CG1820/1984) || 1337063 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 421 || Human rhinovirus C (strain C15) (HRV-C15) || 1418033 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 422 || Human picobirnavirus || 145856 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 423 || Human bocavirus 4 (HBoV4) (Human bocavirus type 4) || 1511883 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 424 || Cosavirus A (isolate Human/Pakistan/0553/-) (HCoSV-A) || 1554483 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 425 || Norovirus (isolate Human/NoV/United States/MD145-12/1987/GII) (Hu/NLV/GII/MD145-12/1987/US) || 158465 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 426 || Wesselsbron virus (WSLV) || 164416 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 427 || Influenza C virus (strain C/Miyagi/3/1993) || 165239 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 428 || Influenza C virus (strain C/Miyagi/4/1993) || 165240 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 429 || Influenza C virus (strain C/Kanagawa/1/1976) || 165246 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 430 || Influenza C virus (strain C/Miyagi/1977) || 165247 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 431 || Influenza C virus (strain C/Miyagi/1/1993) || 165248 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 432 || Influenza C virus (strain C/Miyagi/2/1993) || 165249 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 433 || Human papillomavirus type 54 || 1671798 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 434 || Hepatitis E virus (HEV) || 1678143 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 435 || Alkhumra hemorrhagic fever virus (ALKV) (Alkhurma hemorrhagic fever virus) || 172148 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 436 || Echovirus 5 (strain Noyce) || 176283 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 437 || Echovirus 30 (strain Bastianni) || 176284 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 438 || Influenza A virus (strain A/Duck/Hong Kong/2986.1/2000 H5N1 genotype C) || 176674 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 439 || Influenza A virus (strain A/Swine/New Jersey/11/1976 H1N1) || 186460 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 440 || BK polyomavirus (BKPyV) (Human polyomavirus 1) || 1891762 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 441 || Influenza A virus (strain A/Chicken/Hong Kong/YU562/2001 H5N1 genotype B) || 196426 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 442 || Influenza A virus (strain A/Silky Chicken/Hong Kong/SF189/2001 H5N1 genotype A) || 196430 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 443 || Influenza A virus (strain A/Chicken/Hong Kong/715.5/2001 H5N1 genotype E) || 196434 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 444 || West Nile virus (strain NY-99) (WNV) (West Nile virus (strain NY-1999)) || 1968826 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 445 || Andes orthohantavirus (ANDV) (Andes virus) || 1980456 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 446 || Influenza C virus (strain C/Miyagi/1/1990) || 199344 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 447 || Influenza C virus (strain C/Miyagi/5/1991) || 199345 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 448 || Influenza C virus (strain C/Miyagi/7/1991) || 199346 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 449 || Influenza C virus (strain C/Miyagi/5/1993) || 199347 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 450 || Influenza C virus (strain C/Sapporo/1971) || 199356 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 451 || Influenza C virus (strain C/Aomori/1974) || 199357 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 452 || Influenza C virus (strain C/Miyagi/2/1992) || 199360 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 453 || Influenza C virus (strain C/Yamagata/1/1988) || 203125 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 454 || Influenza C virus (strain C/California/1978) || 203224 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 455 || Influenza C virus (strain C/Hyogo/1/1983) || 203225 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 456 || Influenza C virus (strain C/Miyagi/9/1991) || 203228 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 457 || Influenza C virus (strain C/Mississippi/1980) || 203229 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 458 || Influenza C virus (strain C/Pig/Beijing/115/1981) || 203231 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 459 || Influenza C virus (strain C/Nara/1982) || 203232 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 460 || Influenza C virus (strain C/Kyoto/41/1982) || 203233 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 461 || Zika virus (isolate ZIKV/Human/French Polynesia/10087PF/2013) (ZIKV) || 2043570 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 462 || Influenza C virus (strain C/Hiroshima/246/2000) || 210752 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 463 || Influenza C virus (strain C/Hiroshima/247/2000) || 210753 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 464 || Influenza C virus (strain C/Hiroshima/248/2000) || 210754 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 465 || Influenza C virus (strain C/Hiroshima/249/2000) || 210755 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 466 || Influenza C virus (strain C/Hiroshima/250/2000) || 210756 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 467 || Influenza C virus (strain C/Hiroshima/251/2000) || 210757 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 468 || Influenza C virus (strain C/Hiroshima/290/1999) || 210759 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 469 || Influenza A virus (strain A/Puerto Rico/8/1934 H1N1) || 211044 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 470 || Influenza A virus (strain A/Texas/1/1968 H2N2) || 216887 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 471 || Junin mammarenavirus (JUNV) (Junn mammarenavirus) || 2169991 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 472 || Influenza C virus (strain C/Yamagata/1964) || 217166 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 473 || Influenza C virus (strain C/Aichi/1/1981) || 217167 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 474 || Influenza C virus (strain C/Saitama/1/2000) || 217719 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 475 || Influenza C virus (strain C/Saitama/2/2000) || 217720 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 476 || Influenza C virus (strain C/Saitama/3/2000) || 217721 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 477 || Influenza C virus (strain C/Hiroshima/252/1999) || 217722 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 478 || Influenza C virus (strain C/New Jersey/1976) || 217723 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 479 || Influenza C virus (strain C/Kansas/1/1979) || 217724 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 480 || Influenza C virus (strain C/Greece/1979) || 217725 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 481 || Influenza A virus (strain A/Equine/Sao Paulo/1/1976 H7N7) || 217828 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 482 || Influenza A virus (strain A/Equine/Switzerland/137/1972 H7N7) || 217829 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 483 || Influenza A virus (strain A/Equine/New Market/1/1977 H7N7) || 217831 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 484 || Influenza A virus (strain A/Equine/Detroit/1/1964 H7N7) || 217834 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 485 || Influenza A virus (strain A/Equine/Cambridge/1/1973 H7N7) || 217835 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 486 || Influenza A virus (strain A/Equine/C.Detroit/1/1964 H7N7) || 217836 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 487 || Influenza A virus (strain A/Equine/Cambridge/1/1963 H7N7) || 217837 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 488 || Influenza A virus (strain A/Qu/7/1970 H3N2) || 221016 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 489 || Influenza A virus (strain A/Chicken/Hong Kong/FY150/2001 H5N1 genotype D) || 222142 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 490 || Severe acute respiratory syndrome coronavirus (isolate Canada/Tor2/2003) (SARS-CoV) || 227984 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 491 || Influenza B virus (strain B/Bonn/1943) || 230285 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 492 || Influenza B virus (strain B/USSR/100/1983) || 230286 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 493 || Coxsackievirus A16 (strain Tainan/5079/98) || 231417 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 494 || Coxsackievirus B2 (strain Ohio-1) || 231473 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 495 || Coxsackievirus B6 (strain Schmitt) || 231474 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 496 || Zika virus (isolate ZIKV/Human/Cambodia/FSS13025/2010) (ZIKV) || 2316109 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 497 || Sapporo virus (isolate GII/Human/Thailand/Mc10/2000) (Hu/SaV/Mc10/2000/Thailand) || 234601 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 498 || Japanese encephalitis virus (strain M28) (JEV) || 2555554 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 499 || Human parainfluenza 2 virus (HPIV-2) || 2560525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 500 || Human papillomavirus type 94 || 260717 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 501 || Hepatitis delta virus genotype I (isolate US-2) (HDV) || 261991 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 502 || Hepatitis delta virus genotype II (isolate TW2476) (HDV) || 261992 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 503 || Hepatitis delta virus genotype III (isolate VnzD8624) (HDV) || 261993 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 504 || Hepatitis delta virus genotype III (isolate VnzD8349) (HDV) || 261994 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 505 || Hepatitis delta virus genotype III (isolate VnzD8375) (HDV) || 261995 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 506 || Hepatitis delta virus genotype III (isolate Peru-1) (HDV) || 261996 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 507 || Human herpesvirus 7 (strain RK) (HHV-7) (Human T lymphotropic virus) || 262398 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 508 || Cowpox virus (strain GRI-90 / Grishak) (CPV) || 265871 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 509 || Cowpox virus (strain Brighton Red) (CPV) || 265872 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 510 || Hepatitis delta virus genotype I (isolate HDV/Human/Central African Republic/FH27/1985) (HDV) || 2691025 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 511 || Severe acute respiratory syndrome coronavirus 2 (2019-nCoV) (SARS-CoV-2) || 2697049 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 512 || Human rhinovirus 1B (HRV-1B) || 2777147 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 513 || Human coronavirus NL63 (HCoV-NL63) || 277944 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 514 || Influenza A virus (strain A/Hong Kong/212/2003 H5N1 genotype Z+) || 279794 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 515 || Influenza A virus (strain A/Chicken/Hong Kong/96.1/2002 H5N1 genotype Y) || 279803 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 516 || Influenza C virus (strain C/Aichi/1/1999) || 282188 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 517 || Human adenovirus D serotype 15 (HAdV-15) (Human adenovirus 15) || 28276 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 518 || Human adenovirus E serotype 4 (HAdV-4) (Human adenovirus 4) || 28280 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 519 || Human adenovirus A serotype 12 (HAdV-12) (Human adenovirus 12) || 28282 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 520 || Human adenovirus F serotype 40 (HAdV-40) (Human adenovirus 40) || 28284 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 521 || Human adenovirus C serotype 5 (HAdV-5) (Human adenovirus 5) || 28285 ||  || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 522 || Sandfly fever sicilian virus (SFS) || 28292 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 523 || Human papillomavirus type 63 || 28311 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 524 || Human papillomavirus 65 || 28312 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 525 || Human T-cell leukemia virus 3 (HTLV-3) (Human T-lymphotropic virus 3) || 28332 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 526 || Influenza A virus (strain A/Chicken/Hong Kong/31.2/2002 H5N1 genotype X1) || 284169 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 527 || Influenza A virus (strain A/Chicken/Hong Kong/37.4/2002 H5N1 genotype X2) || 284172 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 528 || Influenza A virus (strain A/Chicken/Hong Kong/YU22/2002 H5N1 genotype Z) || 284177 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 529 || Influenza A virus (strain A/Chicken/Shantou/4231/2003 H5N1 genotype V) || 284184 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 530 || Influenza A virus (strain A/Guinea fowl/Hong Kong/38/2002 H5N1 genotype X0) || 284208 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 531 || Influenza A virus (strain A/Silky Chicken/Hong Kong/YU100/2002 H5N1 genotype X3) || 284214 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 532 || Influenza A virus (strain A/Teal/China/2978.1/2002 H5N1 genotype W) || 284215 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 533 || Influenza A virus (strain A/Vietnam/1203/2004 H5N1) || 284218 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 534 || Encephalomyocarditis virus (strain Rueckert) (EMCV) || 2870365 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 535 || Rotavirus B (isolate RVB/Rat/United States/IDIR/1984/G1P[X]) (RV-B) (Rotavirus B (isolate infectious diarrhea of infant rats)) || 28877 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 536 || Isfahan virus (ISFV) || 290008 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 537 || Human coronavirus HKU1 (HCoV-HKU1) || 290028 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 538 || Sapovirus (strain GII/Human/Japan/Sakai C12/2001) (SaV) (Sapporo virus) || 290314 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 539 || Human immunodeficiency virus type 1 group M subtype B (isolate Lai) (HIV-1) || 290579 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 540 || Sapporo virus (isolate GI/Human/Germany/pJG-Sap01) (Hu/Dresden/pJG-Sap01/DE) || 291175 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 541 || Influenza B virus (strain B/Paris/329/1990) || 291795 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 542 || Influenza B virus (strain B/Hong Kong/9/1989) || 291796 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 543 || Influenza B virus (strain B/Texas/1/1991) || 291799 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 544 || Influenza B virus (strain B/Texas/4/1990) || 291800 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 545 || Influenza B virus (strain B/New York/3/1990) || 291801 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 546 || Influenza B virus (strain B/Guangdong/55/1989) || 291802 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 547 || Influenza B virus (strain B/Victoria/103/1989) || 291803 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 548 || Influenza B virus (strain B/Victoria/19/1989) || 291804 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 549 || Influenza B virus (strain B/South Dakota/5/1989) || 291805 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 550 || Influenza B virus (strain B/India/3/1989) || 291806 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 551 || Human cytomegalovirus (strain Merlin) (HHV-5) (Human herpesvirus 5) || 295027 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 552 || Mumps virus genotype N (strain L-Zagreb vaccine) (MuV) || 301186 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 553 || Vaccinia virus (strain Tashkent) (VACV) || 301352 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 554 || Murray valley encephalitis virus (strain MVE-1-51) (MVEV) || 301478 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 555 || Nipah virus || 3052225 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 556 || Sabia mammarenavirus (isolate Human/Brasil/SPH114202/1990) (SABV) (Sabi mammarenavirus) || 3052299 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 557 || Pichinde mammarenavirus (PICV) (Pichind mammarenavirus) || 3052300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 558 || Chapare mammarenavirus (isolate Human/Bolivia/810419/2003) || 3052302 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 559 || Guanarito mammarenavirus (isolate Human/Venezuela/NH-95551/1990) (GTOV) || 3052307 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 560 || Mammarenavirus lassaense || 3052310 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 561 || Machupo virus (MACV) || 3052317 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 562 || Dobrava-Belgrade orthohantavirus (DOBV) (Dobrava virus) || 3052477 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 563 || Black Creek Canal orthohantavirus (BCCV) (Black Creek Canal virus) || 3052490 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 564 || Sin Nombre orthohantavirus (SNV) (Sin Nombre virus) || 3052499 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 565 || Tula orthohantavirus (TULV) (Tula virus) || 3052503 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 566 || Dugbe virus || 3052514 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 567 || Human adenovirus D serotype 15/H9 (HAdV-15/H9) (Human adenovirus 15/H9) || 308444 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 568 || Human cytomegalovirus (strain Toledo) (HHV-5) (Human herpesvirus 5) || 311339 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 569 || Hepatitis B virus genotype C subtype adr (isolate Korea/Kim/1989) (HBV-C) || 31512 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 570 || Hepatitis B virus genotype C subtype adr (isolate China/NC-1/1988) (HBV-C) || 31513 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 571 || Hepatitis B virus genotype A1 subtype adw (isolate Philippines/pFDW294/1988) (HBV-A) || 31514 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 572 || Hepatitis B virus genotype G subtype adw2 (isolate United States/sf/1990) (HBV-G) || 31515 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 573 || Epstein-Barr virus (strain Cao) (HHV-4) (Human herpesvirus 4) || 31525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 574 || Vaccinia virus (strain L-IVP) (VACV) || 31531 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 575 || Human adenovirus B serotype 16 (HAdV-16) (Human adenovirus 16) || 31544 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 576 || Human adenovirus D serotype 8 (HAdV-8) (Human adenovirus 8) || 31545 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 577 || Human papillomavirus 20 || 31547 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 578 || Human papillomavirus 21 || 31548 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 579 || Rotavirus C (isolate RVC/Human/Japan/88-220/1988) (RV-C) || 31565 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 580 || Rotavirus C (isolate RVC/Human/Brazil/Belem/1992) (RV-C) || 31566 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 581 || Rotavirus C (isolate RVC/Human/United Kingdom/Bristol/1989) (RV-C) || 31567 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 582 || Rotavirus C (isolate RVC/Human/United Kingdom/Preston/1992) (RV-C) || 31568 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 583 || Rotavirus A (strain RVA/Human/Australia/RV-5/1981/G2P1B[4]) (RV-A) (Rotavirus A (strain RV5)) || 31569 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 584 || Rotavirus A (strain RVA/Human/Australia/RV-4/1977/G1P1A[8]) (RV-A) (Rotavirus A (strain RV4)) || 31570 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 585 || Rotavirus A (strain RVA/Human/United Kingdom/A28/1987/G10P[X]) (RV-A) || 31571 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 586 || Rotavirus A (isolate RVA/Human/Japan/IGV-80-3/XXXX/GXP[X]) (RV-A) || 31574 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 587 || Human parainfluenza 1 virus (strain C35) (HPIV-1) || 31605 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 588 || Human parainfluenza 1 virus (strain CI-14/83) (HPIV-1) || 31606 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 589 || Human parainfluenza 1 virus (strain CI-5/73) (HPIV-1) || 31607 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 590 || Parainfluenza virus 5 (isolate Canine/CPI+) (PIV5) (Simian virus 5) || 31608 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 591 || Parainfluenza virus 5 (isolate Canine/CPI-) (PIV5) (Simian virus 5) || 31609 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 592 || Parainfluenza virus 5 (isolate Human/LN) (PIV5) (Simian virus 5) || 31610 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 593 || Rabies virus (isolate Human/Algeria/1991) (RABV) || 31613 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 594 || Hantaan virus (strain B-1) (Korean hemorrhagic fever virus) || 31617 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 595 || Seoul virus (strain R22) || 31620 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 596 || Human coronavirus OC43 (HCoV-OC43) || 31631 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 597 || Dengue virus type 2 (strain Thailand/16681/1984) (DENV-2) || 31634 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 598 || Dengue virus type 2 (strain 16681-PDK53) (DENV-2) || 31635 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 599 || Dengue virus type 2 (strain China/D2-04) (DENV-2) || 31636 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 600 || Dengue virus type 2 (strain Thailand/TH-36/1958) (DENV-2) || 31637 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 601 || Langat virus (strain TP21) || 31638 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 602 || Langat virus (strain Yelantsev) || 31639 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 603 || Louping ill virus (strain SB 526) (Li) || 31640 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 604 || Yellow fever virus (isolate Peru/1899/1981) (YFV) || 31641 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 605 || Hepatitis C virus genotype 1b (isolate HC-JT) (HCV) || 31642 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 606 || Hepatitis C virus (isolate HCV-476) (HCV) || 31643 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 607 || Hepatitis C virus (isolate HCV-KF) (HCV) || 31644 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 608 || Hepatitis C virus genotype 1b (isolate Taiwan) (HCV) || 31645 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 609 || Influenza A virus (strain A/Turkey/Bethlehem-Glilit/1492-B/1982 H1N1) || 31663 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 610 || Human immunodeficiency virus type 1 group M subtype B (isolate WMJ1) (HIV-1) || 31678 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 611 || Human immunodeficiency virus type 2 subtype A (isolate ST/24.1C#2) (HIV-2) || 31681 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 612 || Sindbis virus subtype Ockelbo (strain Edsbyn 82-5) (OCKV) (Ockelbo virus) || 31699 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 613 || Mengo encephalomyocarditis virus (strain 37A) || 31702 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 614 || Echovirus 11 (strain Gregory) || 31705 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 615 || Human hepatitis A virus genotype IIIA (isolate GA76) (HHAV) (Human hepatitis A virus (isolate Human/Georgia/GA76/1976)) || 31706 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 616 || Human rhinovirus 16 (HRV-16) || 31708 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 617 || Hepatitis delta virus genotype I (isolate D380) (HDV) || 31762 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 618 || Hepatitis delta virus genotype I (isolate Lebanon-1) (HDV) || 31763 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 619 || Hepatitis delta virus genotype I (isolate Woodchuck) (HDV) || 31764 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 620 || Hepatitis E virus (isolate Rhesus/HT-4) (HEV) || 31766 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 621 || Hepatitis E virus genotype 1 (isolate Human/Burma) (HEV-1) || 31767 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 622 || Hepatitis E virus genotype 2 (isolate Human/Mexico) (HEV-2) || 31768 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 623 || Hepatitis E virus genotype 1 (isolate Human/Myanmar/HEVNE8L) (HEV-1) || 31769 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 624 || Human enterovirus 70 (strain J670/71) (EV70) (EV-70) || 31915 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 625 || Human herpesvirus 6B (HHV-6 variant B) (Human B lymphotropic virus) || 32604 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 626 || Human immunodeficiency virus type 1 group O (isolate ANT70) (HIV-1) || 327105 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 627 || Hepatitis C virus (isolate Glasgow) (HCV) || 329389 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 628 || Hepatitis C virus genotype 1b (isolate Con1) (HCV) || 333284 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 629 || Human papillomavirus 27 || 333752 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 630 || Human papillomavirus 57 || 333753 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 631 || Human papillomavirus type 10 || 333759 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 632 || Human papillomavirus type 16 || 333760 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 633 || Human papillomavirus type 18 || 333761 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 634 || Human papillomavirus type 26 || 333762 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 635 || Human papillomavirus type 32 || 333763 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 636 || Human papillomavirus type 34 || 333764 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 637 || Human papillomavirus type 53 || 333765 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 638 || Human papillomavirus 72 || 333770 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 639 || Human papillomavirus 5 || 333923 || PMID: 39923424 ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 640 || Human papillomavirus 62 || 334210 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 641 || Rotavirus X (strain RVX/Human/China/NADRV-J19/1997/GXP[X]) (RV ADRV-N) (Rotavirus (isolate novel adult diarrhea rotavirus-J19)) || 335103 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 642 || Rotavirus A (isolate RVA/Human/-/RK9/XXXX/GXP[X]) (RV-A) || 33722 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 643 || Lake Victoria marburgvirus (strain Musoke-80) (MARV) (Marburg virus (strain Kenya/Musoke/1980)) || 33727 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 644 || Lake Victoria marburgvirus (strain Popp-67) (MARV) (Marburg virus (strain West Germany/Popp/1967)) || 33728 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 645 || Mumps virus (strain SBL) (MuV) || 33729 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 646 || Parainfluenza virus 5 (strain 21004-WR) (PIV5) (Simian virus 5) || 33730 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 647 || Dengue virus type 1 (strain Singapore/S275/1990) (DENV-1) || 33741 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 648 || Kyasanur forest disease virus (KFDV) || 33743 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 649 || Hepatitis E virus genotype 1 (isolate Human/Pakistan/Sar-55) (HEV-1) || 33774 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 650 || Simian foamy virus type 1 (SFVmac) (SFV-1) || 338478 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 651 || Cercopithecine herpesvirus 16 (CeHV-16) (Herpesvirus papio 2) || 340907 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 652 || Varicella-zoster virus (strain Oka vaccine) (HHV-3) (Human herpesvirus 3) || 341980 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 653 || Human adenovirus B serotype 11 (strain Slobiski) (HAdV-11) (Human adenovirus 11P (strain Slobiski)) || 343462 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 654 || Human adenovirus B serotype 11 (strain BC34) (HAdV-11) (Human adenovirus 11A (strain BC34)) || 343463 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 655 || Rotavirus X (isolate RVX/Human/Bangladesh/NADRV-B219/2002/GXP[X]) (RV ADRV-N) (Rotavirus (isolate novel adult diarrhea rotavirus-B219)) || 348136 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 656 || Measles virus (strain Biken) (MeV) (Subacute sclerosing panencephalitis virus (strain Biken)) || 351669 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 657 || Influenza A virus (strain A/Duck/Alberta/35/1976 H1N1) || 352520 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 658 || Influenza A virus (strain A/Duck/Hong Kong/7/1975 H3N2) || 352551 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 659 || Human astrovirus-4 (HAstV-4) || 35300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 660 || Bunyamwera virus (BUNV) || 35304 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 661 || Hepatitis C virus genotype 1c (isolate India) (HCV) || 356386 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 662 || Hepatitis C virus genotype 5a (isolate SA13) (HCV) || 356390 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 663 || Hepatitis C virus genotype 6a (isolate 6a33) (HCV) || 356391 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 664 || Hepatitis C virus genotype 1c (isolate HC-G9) (HCV) || 356410 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 665 || Hepatitis C virus genotype 2a (isolate JFH-1) (HCV) || 356411 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 666 || Hepatitis C virus genotype 2b (isolate JPUT971017) (HCV) || 356412 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 667 || Hepatitis C virus genotype 2c (isolate BEBE1) (HCV) || 356413 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 668 || Hepatitis C virus genotype 2k (isolate VAT96) (HCV) || 356414 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 669 || Hepatitis C virus genotype 3a (isolate NZL1) (HCV) || 356415 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 670 || Hepatitis C virus genotype 3a (isolate k3a) (HCV) || 356416 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 671 || Hepatitis C virus genotype 3k (isolate JK049) (HCV) || 356417 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 672 || Hepatitis C virus genotype 4a (isolate ED43) (HCV) || 356418 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 673 || Hepatitis C virus genotype 5a (isolate EUH1480) (HCV) || 356419 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 674 || Hepatitis C virus genotype 6a (isolate EUHK2) (HCV) || 356420 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 675 || Hepatitis C virus genotype 6b (isolate Th580) (HCV) || 356421 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 676 || Hepatitis C virus genotype 6d (isolate VN235) (HCV) || 356422 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 677 || Hepatitis C virus genotype 6g (isolate JK046) (HCV) || 356423 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 678 || Hepatitis C virus genotype 6h (isolate VN004) (HCV) || 356424 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 679 || Hepatitis C virus genotype 6k (isolate VN405) (HCV) || 356425 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 680 || Xenotropic MuLV-related virus (isolate VP35) (XMRV) || 356663 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 681 || Xenotropic MuLV-related virus (isolate VP42) (XMRV) || 356664 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 682 || Hepatitis C virus genotype 3b (isolate Tr-Kj) (HCV) || 357355 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 683 || Human astrovirus-3 (HAstV-3) || 35740 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 684 || Human astrovirus-5 (HAstV-5) || 35741 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 685 || Human immunodeficiency virus type 1 group M subtype B (isolate YU-2) (HIV-1) || 362651 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 686 || Influenza A virus (strain A/New Zealand:South Canterbury/35/2000 H1N1) || 363066 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 687 || Human herpesvirus 1 (strain R15) (HHV-1) (Human herpes simplex virus 1) || 36345 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 688 || Human herpesvirus 1 (strain R19) (HHV-1) (Human herpes simplex virus 1) || 36346 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 689 || Human herpesvirus 6B (strain Z29) (HHV-6 variant B) (Human B lymphotropic virus) || 36351 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 690 || Human immunodeficiency virus type 1 group M subtype B (isolate KB-1/ETR) (HIV-1) || 36375 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 691 || Human immunodeficiency virus type 1 group M subtype B (isolate N1T-A) (HIV-1) || 36376 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 692 || Venezuelan equine encephalitis virus (strain 3880) (VEEV) || 36382 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 693 || Venezuelan equine encephalitis virus (strain Everglades Fe3-7c) (VEEV) || 36383 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 694 || Venezuelan equine encephalitis virus (strain Mena II) (VEEV) || 36384 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 695 || Venezuelan equine encephalitis virus (strain P676) (VEEV) || 36385 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 696 || Louping ill virus (strain 31) (Li) || 36386 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 697 || Louping ill virus (strain K) (Li) || 36387 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 698 || Louping ill virus (strain Negishi 3248/49/P10) (Li) || 36388 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 699 || Louping ill virus (strain Norway) (Li) || 36389 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 700 || Coxsackievirus A24 (strain EH24/70) || 36404 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 701 || Measles virus (strain Edmonston-AIK-C vaccine) (MeV) (Subacute sclerose panencephalitis virus) || 36408 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 702 || Human parainfluenza 1 virus (strains A1426 / 86-315 / 62m-753) (HPIV-1) || 36412 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 703 || Influenza A virus (strain A/Chicken/Brescia/1902 H7N7) || 36418 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 704 || Influenza A virus (strain A/Goose/Guangxi/345/2005 H5N1 genotype G) || 365089 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 705 || Sapporo virus (isolate GI/Human/Japan/Ehime643/2000) (Hu/SV/Ehi643/2000/JP) || 369964 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 706 || Human herpesvirus 1 (strain CVG-2) (HHV-1) (Human herpes simplex virus 1) || 37106 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 707 || Human herpesvirus 1 (strain MGH-10) (HHV-1) (Human herpes simplex virus 1) || 37107 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 708 || Chikungunya virus (strain S27-African prototype) (CHIKV) || 371094 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 709 || Chikungunya virus (strain 37997) (CHIKV) || 371095 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 710 || Chikungunya virus (strain Nagpur) (CHIKV) || 371096 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 711 || Human papillomavirus 28 || 37111 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 712 || Human papillomavirus 29 || 37112 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 713 || Human papillomavirus type 55 || 37114 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 714 || Human papillomavirus 59 || 37115 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 715 || Human papillomavirus type 61 || 37116 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 716 || Human papillomavirus type 64 || 37118 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 717 || Human papillomavirus 66 || 37119 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 718 || Human papillomavirus 67 || 37120 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 719 || Human papillomavirus 69 || 37121 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 720 || Human papillomavirus type 6a || 37122 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 721 || Chikungunya virus (CHIKV) || 37124 || PMID: 39923424 || FDA-ARGOS || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 722 || Southampton virus (strain GI/Human/United Kingdom/Southampton/1991) (SHV) (Hu/NV/SHV/1991/UK) || 37129 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 723 || Human astrovirus-6 (HAstV-6) || 37130 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 724 || Rabies virus (isolate Fox/Ontario/1991) (RABV) || 37132 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 725 || Rotavirus A (isolate RVA/Human/Thailand/Mc35/1992/G10P11[14]) (RV-A) || 37136 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 726 || Human herpesvirus 8 (HHV-8) (Kaposi&#039;s sarcoma-associated herpesvirus) || 37296 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 727 || Xenotropic MuLV-related virus (isolate VP62) (XMRV) || 373193 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 728 || Eastern equine encephalitis virus (strain PE-0.0155) (EEEV) (Eastern equine encephalomyelitis virus) || 374596 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 729 || Eastern equine encephalitis virus (strain PE-3.0815) (EEEV) (Eastern equine encephalomyelitis virus) || 374597 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 730 || Eastern equine encephalitis virus (strain Florida 91-469) (EEEV) (Eastern equine encephalomyelitis virus) || 374598 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 731 || O&#039;nyong-nyong virus (strain SG650) (ONNV) || 374989 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 732 || Mayaro virus (strain Brazil) (MAYV) || 374990 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 733 || Rubella virus (strain BRD1) (RUBV) || 376262 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 734 || Rubella virus (strain BRDII) (RUBV) || 376263 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 735 || Rubella virus (strain TO-336) (RUBV) || 376264 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 736 || Rubella virus (strain TO-336 vaccine) (RUBV) || 376265 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 737 || Rubella virus (strain Cendehill) (RUBV) || 376266 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 738 || Rubella virus (strain RN-UK86) (RUBV) || 376267 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 739 || Lake Victoria marburgvirus (strain Ravn-87) (MARV) (Marburg virus (strain Kenya/Ravn/1987)) || 378809 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 740 || Lake Victoria marburgvirus (strain Angola/2005) (MARV) || 378830 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 741 || Human papillomavirus 22 || 37954 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 742 || Human papillomavirus 23 || 37955 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 743 || Human papillomavirus 24 || 37956 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 744 || Human papillomavirus 36 || 37957 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 745 || Human papillomavirus 37 || 37958 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 746 || Human papillomavirus 38 || 37959 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 747 || Influenza A virus (strain A/New Jersey/8/1976 H1N1) || 379756 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 748 || Influenza A virus (strain A/Taiwan/1/1986 H1N1) || 380213 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 749 || Influenza A virus (strain A/Swine/Hong Kong/3/1976 H3N2) || 380216 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 750 || Influenza A virus (strain A/Swine/Hong Kong/4/1976 H3N2) || 380217 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 751 || Influenza A virus (strain A/Fort Monmouth/1/1947 H1N1) || 380282 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 752 || Influenza A virus (strain A/Equine/Prague/1/1956 H7N7) || 380337 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 753 || Influenza A virus (strain A/Equine/London/1416/1973 H7N7) || 380340 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 754 || Influenza A virus (strain A/Swine/Iowa/17672/1988 H1N1) || 380341 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 755 || Influenza A virus (strain A/Swine/Iowa/15/1930 H1N1) || 380342 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 756 || Influenza A virus (strain A/Wisconsin/3523/1988 H1N1) || 380346 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 757 || Influenza A virus (strain A/Swine/Netherlands/12/1985 H1N1) || 380347 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 758 || Influenza A virus (strain A/Turkey/Minnesota/1661/1981 H1N1) || 380349 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 759 || Influenza A virus (strain A/Beijing/353/1989 H3N2) || 380949 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 760 || Influenza A virus (strain A/Tokyo/3/1967 H2N2) || 380960 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 761 || Influenza A virus (strain A/Leningrad/134/47/1957 H2N2) || 380983 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 762 || Influenza A virus (strain A/Leningrad/134/17/1957 H2N2) || 380984 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 763 || Influenza A virus (strain A/Chile/1/1983 H1N1) || 380985 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 764 || Influenza A virus (strain A/USSR/90/1977 H1N1) || 381516 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 765 || Influenza A virus (strain A/Udorn/307/1972 H3N2) || 381517 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 766 || Influenza A virus (strain A/Wilson-Smith/1933 H1N1) (Influenza A virus (strain A/WS/1933 H1N1)) || 381518 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 767 || Influenza A virus (strain A/Singapore/1/1957 H2N2) || 382781 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 768 || Influenza A virus (strain A/Guangdong/39/1989 H3N2) || 382812 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 769 || Influenza A virus (strain A/Philippines/2/1982 H3N2) || 382825 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 770 || Influenza A virus (strain A/RI/5-/1957 H2N2) || 382828 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 771 || Influenza A virus (strain A/Swine/29/1937 H1N1) || 382842 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 772 || Influenza A virus (strain A/Swine/Cambridge/1/1935 H1N1) || 382844 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 773 || Influenza A virus (strain A/Swine/Dandong/9/1983 H3N2) || 382846 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 774 || Influenza A virus (strain A/Swine/Hong Kong/126/1982 H3N2) || 382848 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 775 || Influenza A virus (strain A/Swine/Italy/839/1989 H1N1) || 382851 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 776 || Influenza A virus (strain A/Swine/Wisconsin/1/1967 H1N1) || 382855 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 777 || Influenza A virus (strain A/Swine/Italy/141/1981 H1N1) || 383530 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 778 || Influenza A virus (strain A/Swine/Italy/2/1979 H1N1) || 383531 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 779 || Influenza A virus (strain A/Swine/Italy/437/1976 H1N1) || 383532 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 780 || Influenza A virus (strain A/Swine/Wisconsin/1/1961 H1N1) || 383533 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 781 || Influenza A virus (strain A/Swine/Wisconsin/1/1957 H1N1) || 383534 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 782 || Influenza A virus (strain A/Swine/May/1954 H1N1) || 383535 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 783 || Influenza A virus (strain A/Swine/41/1949 H1N1) || 383536 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 784 || Influenza A virus (strain A/Swine/Iowa/1946 H1N1) || 383537 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 785 || Influenza A virus (strain A/Swine/Jamesburg/1942 H1N1) || 383538 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 786 || Influenza A virus (strain A/Swine/Ohio/23/1935 H1N1) || 383539 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 787 || Influenza A virus (strain A/England/19/1955 H1N1) || 383541 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 788 || Influenza A virus (strain A/Hickox/1940 H1N1) || 383543 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 789 || Influenza A virus (strain A/Teal/Iceland/29/1980 H7N7) || 383546 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 790 || Influenza A virus (strain A/Duck/Australia/749/1980 H1N1) || 383547 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 791 || Influenza A virus (strain A/Fowl plague virus/Dobson/&#039;Dutch&#039;/1927 H7N7) || 383551 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 792 || Influenza A virus (strain A/Shanghai/16/1989 H3N2) || 383567 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 793 || Influenza A virus (strain A/Shanghai/11/1987 H3N2) || 383568 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 794 || Influenza A virus (strain A/Shanghai/31/1980 H3N2) || 383569 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 795 || Influenza A virus (strain A/Shanghai/6/1990 H3N2) || 383570 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 796 || Influenza A virus (strain A/Memphis/6/1986 H3N2) || 383571 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 797 || Influenza A virus (strain A/Memphis/14/1985 H3N2) || 383572 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 798 || Influenza A virus (strain A/Memphis/5/1980 H3N2) || 383575 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 799 || Influenza A virus (strain A/Memphis/4/1980 H3N2) || 383578 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 800 || Influenza A virus (strain A/Memphis/18/1978 H3N2) || 383579 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 801 || Influenza A virus (strain A/Memphis/2/1978 H3N2) || 383580 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 802 || Influenza A virus (strain A/Memphis/110/1976 H3N2) || 383581 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 803 || Influenza A virus (strain A/Memphis/1/1973 H3N2) || 383582 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 804 || Influenza A virus (strain A/Memphis/101/1972 H3N2) || 383583 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 805 || Influenza A virus (strain A/Memphis/1/1971 H3N2) || 383586 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 806 || Influenza A virus (strain A/Memphis/8/1988 H3N2) || 383588 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 807 || Influenza A virus (strain A/Memphis/3/1988 H3N2) || 383589 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 808 || Influenza A virus (strain A/Guangdong/9/1987 H3N2) || 383592 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 809 || Influenza A virus (strain A/Guangdong/38/1977 H3N2) || 383593 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 810 || Influenza A virus (strain A/Beijing/337/1989 H3N2) || 383595 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 811 || Influenza A virus (strain A/Beijing/39/1975 H3N2) || 383596 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 812 || Influenza A virus (strain A/Beijing/352/1989 H3N2) || 383597 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 813 || Influenza A virus (strain A/Swine/Tennessee/26/1977 H1N1) || 384479 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 814 || Influenza A virus (strain A/Swine/Iowa/1976/1931 H1N1) || 384482 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 815 || Influenza A virus (strain A/Swine/Hong Kong/127/1982 H3N2) || 384483 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 816 || Influenza A virus (strain A/Swine/Hong Kong/81/1978 H3N2) || 384484 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 817 || Influenza A virus (strain A/Swine/Hong Kong/6/1976 H3N2) || 384485 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 818 || Influenza A virus (strain A/Swine/Indiana/1726/1988 H1N1) || 384487 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 819 || Influenza A virus (strain A/Loyang/4/1957 H1N1) || 384489 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 820 || Influenza A virus (strain A/Seal/Massachusetts/1/1980 H7N7) || 384493 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 821 || Influenza A virus (strain A/Kiev/59/1979 H1N1) || 384495 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 822 || Influenza A virus (strain A/Ann Arbor/6/1960 H2N2) || 384498 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 823 || Influenza A virus (strain A/Beijing/11/1956 H1N1) || 384500 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 824 || Influenza A virus (strain A/Swine/Ontario/2/1981 H1N1) || 384501 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 825 || Influenza A virus (strain A/Mallard/New York/6750/1978 H2N2) || 384502 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 826 || Influenza A virus (strain A/Northern Territory/60/1968 H3N2) (Influenza A virus (strain NT60)) (Influenza A virus (strain A/NT/60/1968 H3N2)) || 384505 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 827 || Influenza A virus (strain A/Mallard/New York/6874/1978 H3N2) || 384518 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 828 || Influenza A virus (strain A/Fort Warren/1/1950 H1N1) || 384525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 829 || Influenza A virus (strain A/Canberra grammar/1977 H3N2) || 384526 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 830 || Influenza A virus (strain A/Berkeley/1/1968 H2N2) || 384528 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 831 || Influenza A virus (strain A/Alaska/6/1977 H3N2) || 385576 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 832 || Influenza A virus (strain A/Ohio/4/1983 H1N1) || 385596 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 833 || Influenza A virus (strain A/Udorn/1972 H3N2) || 385599 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 834 || Influenza A virus (strain A/Swine/Tennessee/24/1977 H1N1) || 385606 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 835 || Influenza A virus (strain A/Port Chalmers/1/1973 H3N2) || 385624 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 836 || Influenza A virus (strain A/BH/1935 H1N1) || 385629 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 837 || Influenza A virus (strain A/Bangkok/1/1979 H3N2) || 385630 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 838 || Influenza A virus (strain A/Memphis/102/1972 H3N2) || 385640 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 839 || Influenza A virus (strain A/Swine/Ukkel/1/1984 H3N2) || 385644 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 840 || Influenza A virus (strain A/Swine/Colorado/1/1977 H3N2) || 385645 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 841 || Reston ebolavirus (strain Reston-89) (REBOV) (Reston Ebola virus) || 386032 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 842 || Sudan ebolavirus (strain Human/Uganda/Gulu/2000) (SEBOV) (Sudan Ebola virus) || 386033 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 843 || Influenza A virus (strain A/Aichi/2/1968 H3N2) || 387139 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 844 || Influenza A virus (strain A/England/878/1969 H3N2) || 387147 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 845 || Influenza A virus (strain A/Hong Kong/5/1983 H3N2) || 387159 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 846 || Influenza A virus (strain A/Japan/305/1957 H2N2) || 387161 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 847 || Influenza A virus (strain A/Leningrad/134/1957 H2N2) || 387163 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 848 || Influenza A virus (strain A/Camel/Mongolia/1982 H1N1) || 387191 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 849 || Influenza A virus (strain A/Duck/Bavaria/2/1977 H1N1) || 387203 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 850 || Lagos bat virus (LBV) || 38766 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 851 || Duvenhage virus (DUVV) || 38767 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 852 || Yaba monkey tumor virus (YMTV) || 38804 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 853 || Banzi virus (BANV) || 38837 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 854 || Human immunodeficiency virus type 1 group M subtype C (isolate ETH2220) (HIV-1) || 388796 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 855 || Human immunodeficiency virus type 1 group M subtype C (isolate 92BR025) (HIV-1) || 388812 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 856 || Human immunodeficiency virus type 1 group M subtype F1 (isolate VI850) (HIV-1) || 388813 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 857 || Human immunodeficiency virus type 1 group M subtype F1 (isolate 93BR020) (HIV-1) || 388814 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 858 || Human immunodeficiency virus type 1 group M subtype F2 (isolate MP255) (HIV-1) || 388815 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 859 || Human immunodeficiency virus type 1 group O (isolate MVP5180) (HIV-1) || 388816 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 860 || Human immunodeficiency virus type 1 group N (isolate YBF30) (HIV-1) || 388818 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 861 || Human immunodeficiency virus type 1 group N (isolate YBF106) (HIV-1) || 388819 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 862 || Human immunodeficiency virus type 2 subtype B (isolate EHO) (HIV-2) || 388821 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 863 || Human immunodeficiency virus type 2 subtype B (isolate UC1) (HIV-2) || 388822 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 864 || Human immunodeficiency virus type 1 group M subtype F2 (isolate MP257) (HIV-1) || 388823 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 865 || Human immunodeficiency virus type 1 group M subtype G (isolate SE6165) (HIV-1) || 388824 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 866 || Human immunodeficiency virus type 1 group M subtype G (isolate 92NG083) (HIV-1) || 388825 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 867 || Human immunodeficiency virus type 1 group M subtype H (isolate 90CF056) (HIV-1) || 388826 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 868 || Human immunodeficiency virus type 1 group M subtype H (isolate VI991) (HIV-1) || 388888 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 869 || Human immunodeficiency virus type 1 group M subtype J (isolate SE9173) (HIV-1) || 388904 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 870 || Human immunodeficiency virus type 1 group M subtype J (isolate SE9280) (HIV-1) || 388905 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 871 || Human immunodeficiency virus type 1 group M subtype K (isolate 96CM-MP535) (HIV-1) || 388906 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 872 || Human immunodeficiency virus type 1 group M subtype K (isolate 97ZR-EQTB11) (HIV-1) || 388907 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 873 || Human astrovirus-7 (HAstV-7) || 38950 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 874 || Influenza A virus (strain A/Memphis/4/1973 H3N2) || 38973 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 875 || Influenza B virus (strain B/Finland/145/1990) || 38988 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 876 || Influenza B virus (strain B/Finland/146/1990) || 38990 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 877 || Influenza B virus (strain B/Finland/147/1990) || 38991 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 878 || Influenza B virus (strain B/Finland/148/1990) || 38992 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 879 || Influenza B virus (strain B/Finland/149/1990) || 38993 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 880 || Influenza B virus (strain B/Finland/150/1990) || 38994 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 881 || Influenza B virus (strain B/Finland/151/1990) || 38995 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 882 || Influenza B virus (strain B/Finland/24/1985) || 38996 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 883 || Influenza B virus (strain B/Finland/56/1988) || 38997 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 884 || Puumala virus (strain Berkel) || 38998 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 885 || Puumala virus (strain Evo/12CG/93) || 38999 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 886 || Puumala virus (strain K27) || 39000 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 887 || Puumala virus (strain P360) || 39001 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 888 || Puumala virus (strain Sotkamo/V-2969/81) || 39002 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 889 || Puumala virus (strain Udmurtia/894CG/91) || 39003 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 890 || Rabies virus (isolate Skunk/Ontario/1991) (RABV) || 39005 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 891 || Tick-borne powassan virus (strain LB) (POWV) (Powassan virus) || 39008 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 892 || Rotavirus A (isolate RVA/Human/Australia/A91a/1991/G1P[X]) (RV-A) || 39011 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 893 || Rotavirus A (strain RVA/Human/Japan/K8/1977/G1P3A[9]) (RV-A) || 39012 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 894 || Rotavirus A (strain RVA/Human/Japan/AU-1/1982/G3P3[9]) (RV-A) || 39013 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 895 || Human T-cell leukemia virus 1 (isolate Zaire EL subtype B) (HTLV-1) || 39015 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 896 || Human T-cell leukemia virus 1 (isolate Caribbea CH subtype A) (HTLV-1) || 39016 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 897 || Human enterovirus 71 (EV71) (EV-71) || 39054 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 898 || Influenza A virus (strain A/Victoria/3/1975 H3N2) || 392809 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 899 || Influenza A virus (strain A/Leningrad/1/1954 H1N1) || 393557 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 900 || Influenza A virus (strain A/Brazil/11/1978 H1N1) || 393560 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 901 || Influenza A virus (strain A/India/6263/1980 H1N1) || 393562 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 902 || Influenza A virus (strain A/England/321/1977 H3N2) || 393563 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 903 || Human papillomavirus type 70 || 39457 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 904 || Influenza A virus (strain A/China:Nanchang/11/1996 H1N1) || 394786 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 905 || Horsepox virus (HSPV) || 397342 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 906 || Human immunodeficiency virus type 1 group M subtype B (strain 89.6) (HIV-1) || 401671 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 907 || Human T-cell leukemia virus 3 (strain 2026ND) (HTLV-3) || 402036 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 908 || Human T-cell leukemia virus 1 (isolate Melanesia mel5 subtype C) (HTLV-1) || 402046 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 909 || Influenza A virus (strain A/Chicken/Victoria/1/1985 H7N7) || 402520 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 910 || Influenza A virus (strain A/Starling/Victoria/5156/1985 H7N7) || 402525 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 911 || Influenza A virus (strain A/Chicken/Scotland/1959 H5N1) || 402527 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 912 || Human papillomavirus type 48 || 40538 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 913 || Human papillomavirus type 50 || 40539 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 914 || Human papillomavirus type 60 || 40540 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 915 || Human T-cell leukemia virus 3 (strain Pyl43) (HTLV-3) || 406769 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 916 || Yellow fever virus (strain Ghana/Asibi/1927) (YFV) || 407134 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 917 || Yellow fever virus (strain French neurotropic vaccine FNV) (YFV) || 407135 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 918 || Yellow fever virus (isolate Ivory Coast/1999) (YFV) || 407136 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 919 || Yellow fever virus (strain Trinidad/TRINID79A/1979) (YFV) || 407137 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 920 || Yellow fever virus (isolate Ivory Coast/85-82H/1982) (YFV) || 407138 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 921 || Yellow fever virus (isolate Uganda/A7094A4/1948) (YFV) || 407139 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 922 || Yellow fever virus (isolate Angola/14FA/1971) (YFV) || 407140 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 923 || Yellow fever virus (isolate Ethiopia/Couma/1961) (YFV) || 407141 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 924 || Dengue virus type 1 (strain Brazil/97-11/1997) (DENV-1) || 408685 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 925 || Dengue virus type 4 (strain Philippines/H241/1956) (DENV-4) || 408686 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 926 || Dengue virus type 4 (strain Singapore/8976/1995) (DENV-4) || 408687 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 927 || Dengue virus type 4 (strain Thailand/0348/1991) (DENV-4) || 408688 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 928 || Dengue virus type 4 (strain Thailand/0476/1997) (DENV-4) || 408689 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 929 || Dengue virus type 3 (strain China/80-2/1980) (DENV-3) || 408690 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 930 || Dengue virus type 3 (strain Martinique/1243/1999) (DENV-3) || 408691 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 931 || Dengue virus type 3 (strain Sri Lanka/1266/2000) (DENV-3) || 408692 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 932 || Dengue virus type 3 (strain Singapore/8120/1995) (DENV-3) || 408693 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 933 || Dengue virus type 2 (strain Peru/IQT2913/1996) (DENV-2) || 408694 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 934 || Dengue virus type 3 (strain Philippines/H87/1956) (DENV-3) || 408870 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 935 || Dengue virus type 4 (strain Dominica/814669/1981) (DENV-4) || 408871 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 936 || Influenza B virus (strain B/Panama/45/1990) || 408929 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 937 || Human respiratory syncytial virus A (strain S-2) (HRSV-S2) || 410078 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 938 || Dengue virus type 2 (isolate Thailand/0168/1979) (DENV-2) || 413041 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 939 || Influenza B virus (strain B/Yamagata/16/1988) || 416674 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 940 || Influenza B virus (strain B/Hong Kong/22/1989) || 416675 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 941 || Influenza B virus (strain B/Bangkok/163/1990) || 416677 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 942 || Influenza A virus (strain A/USA:Memphis/10/1996 H1N1) || 416730 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 943 || Hepatitis C virus genotype 1b (strain HC-J4) (HCV) || 420174 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 944 || Hepatitis C virus genotype 1b (isolate HC-J1) (HCV) || 421877 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 945 || Hepatitis C virus genotype 1b (isolate HCR6) (HCV) || 421879 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 946 || KI polyomavirus (isolate Stockholm 60) (KIPyV) || 423446 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 947 || KI polyomavirus (isolate Stockholm 350) (KIPyV) || 423447 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 948 || KI polyomavirus (isolate Stockholm 380) (KIPyV) || 423448 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 949 || Influenza A virus (strain A/USA:Huston/AA/1945 H1N1) || 425551 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 950 || Influenza A virus (strain A/California/10/1978 H1N1) || 425557 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 951 || Influenza A virus (strain A/Henry/1936 H1N1) || 425562 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 952 || Influenza A virus (strain A/USA:Iowa/1943 H1N1) || 425563 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 953 || Influenza A virus (strain A/Malaysia:Malaya/302/1954 H1N1) || 425566 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 954 || Influenza A virus (strain A/USA:Phila/1935 H1N1) || 425570 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 955 || Influenza A virus (strain A/USA:Albany/12/1951 H1N1) || 425580 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 956 || Influenza B virus (strain B/Hong Kong/8/1973) || 427826 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 957 || Human astrovirus-8 (HAstV-8) || 43358 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 958 || Saffold virus (SafV) (Human TMEV-like virus-Saffold) || 434309 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 959 || Vesicular stomatitis Indiana virus (strain 98COE North America) (VSIV) || 434488 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 960 || Vesicular stomatitis Indiana virus (strain 94GUB Central America) (VSIV) || 434489 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 961 || Vesicular stomatitis Indiana virus (strain 85CLB South America) (VSIV) || 434490 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 962 || Kokobera virus (KOKV) || 44024 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 963 || WU polyomavirus (WUPyV) || 440266 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 964 || Human rhinovirus 3 (HRV-3) || 44130 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 965 || Human coronavirus HKU1 (isolate N1) (HCoV-HKU1) || 443239 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 966 || Human coronavirus HKU1 (isolate N2) (HCoV-HKU1) || 443240 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 967 || Human coronavirus HKU1 (isolate N5) (HCoV-HKU1) || 443241 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 968 || Influenza A virus (strain A/Texas/1/1977 H3N2) || 444318 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 969 || Rabies virus (strain India) (RABV) || 445790 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 970 || Rabies virus (strain China/MRV) (RABV) || 445791 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 971 || Rabies virus (strain China/DRV) (RABV) || 445792 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 972 || Rabies virus (strain silver-haired bat-associated) (RABV) (SHBRV) || 445793 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 973 || Australian bat lyssavirus (isolate Bat/AUS/1996) (ABLV) || 446561 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 974 || Australian bat lyssavirus (isolate Human/AUS/1998) (ABLV) || 446562 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 975 || New York virus (NYV) || 44755 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 976 || Human papillomavirus 68 || 45240 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 977 || Hepatitis B virus genotype F2 (isolate Brazil/w4B) (HBV-F) || 45410 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 978 || Rabies virus (strain Vnukovo-32) (RABV) || 45418 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 979 || Influenza A virus (strain A/USA:Texas/UR06-0195/2007 H1N1) || 455880 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 980 || Human adenovirus B serotype 3 (HAdV-3) (Human adenovirus 3) || 45659 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 981 || Influenza B virus (strain B/Malaysia/2506/2004) || 464417 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 982 || Colorado tick fever virus (CTFV) || 46839 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 983 || Human adenovirus D serotype 17 (HAdV-17) (Human adenovirus 17) || 46922 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 984 || Human hepatitis A virus genotype IA (isolate GBM) (HHAV) (Human hepatitis A virus (isolate Human/Germany/GBM/1976)) || 470422 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 985 || Human hepatitis A virus genotype IA (isolate H2) (HHAV) (Human hepatitis A virus (isolate Human/China/H2/1982)) || 470423 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 986 || Human hepatitis A virus genotype IA (isolate HAS-15) (HHAV) (Human hepatitis A virus (isolate Human/Arizona/HAS-15/1979)) || 470424 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 987 || Human hepatitis A virus genotype IIA (isolate CF-53) (HHAV) (Human hepatitis A virus (isolate Human/France/CF-53/1979)) || 470591 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 988 || Human hepatitis A virus genotype IIB (isolate SLF88) (HHAV) (Human hepatitis A virus (isolate Human/Sierra Leone/SLF88/1988)) || 470592 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 989 || Human hepatitis A virus genotype IIIA (isolate NOR-21) (HHAV) (Human hepatitis A virus (isolate Human/Norway/NOR-21/1998)) || 470593 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 990 || Human hepatitis A virus genotype IIIB (isolate HAJ85-1) (HHAV) (Human hepatitis A virus (isolate Human/Japan/HAJ85-1/1985)) || 474341 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 991 || Influenza A virus (strain A/Equine/Lexington/1/1966 H7N7) || 475494 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 992 || Influenza A virus (strain A/wyoming/03/2003 H3N2) || 480024 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 993 || Hepatitis B virus genotype A2 subtype adw2 (strain Rutter 1979) (HBV-A) || 480116 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 994 || Hepatitis B virus genotype C subtype adr (isolate Japan/Nishioka/1983) (HBV-C) || 482133 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 995 || Hepatitis B virus genotype A2 subtype adw (isolate Japan/Nishioka/1983) (HBV-A) || 482134 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 996 || Lake Victoria marburgvirus (strain Ozolin-75) (MARV) (Marburg virus (strain South Africa/Ozolin/1975)) || 482820 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 997 || Torque teno virus (isolate Human/Japan/TRM1/1999) (TTV) (Torque teno virus genotype 1a) || 486275 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 998 || Torque teno virus (isolate Human/Japan/SANBAN/1999) (TTV) || 486277 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 999 || Torque teno virus (isolate Human/China/CT39F/2001) (TTV) || 486279 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1000 || Torque teno virus (strain VT416) (TTV) || 486280 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1001 || Torque teno virus (isolate Human/Ghana/GH1/1996) (TTV) || 487067 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1002 || Uukuniemi virus (strain S23) (UUKV) || 487099 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1003 || Influenza A virus (strain A/Korea/426/1968 H2N2) || 488241 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1004 || Hepatitis B virus genotype A1 subtype adw2 (isolate Southern-Africa/Cai) (HBV-A) || 489449 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1005 || Hepatitis B virus genotype A1 subtype adw2 (isolate South Africa/84/2001) (HBV-A) || 489454 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1006 || Hepatitis B virus genotype A2 (isolate Japan/11D11HCCW/1998) (HBV-A) || 489457 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1007 || Hepatitis B virus genotype A3 (isolate Cameroon/CMR983/1994) (HBV-A) || 489458 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1008 || Hepatitis B virus genotype A3 (isolate Cameroon/CMR711/1994) (HBV-A) || 489459 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1009 || Hepatitis B virus genotype B2 (isolate Vietnam/9873/1997) (HBV-B) || 489461 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1010 || Hepatitis B virus genotype B2 (isolate Vietnam/16091/1992) (HBV-B) || 489462 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1011 || Hepatitis B virus genotype B2 subtype adw (isolate China/patient4/1996) (HBV-B) || 489463 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1012 || Hepatitis B virus genotype B1 (isolate Japan/Yamagata-2/1998) (HBV-B) || 489464 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1013 || Hepatitis B virus genotype B1 (isolate Japan/Ry30/2002) (HBV-B) || 489465 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1014 || Hepatitis B virus genotype C subtype ar (isolate Japan/S-207/1988) (HBV-C) || 489467 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1015 || Hepatitis B virus genotype C subtype ad (isolate Japan/S-179/1988) (HBV-C) || 489468 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1016 || Hepatitis B virus genotype C subtype ayw (isolate China/Tibet127/2002) (HBV-C) || 489469 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1017 || Hepatitis B virus genotype C subtype adr (isolate Japan/A4/1994) (HBV-C) || 489470 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1018 || Hepatitis B virus genotype C subtype ayw (isolate Australia/AustRC/1992) (HBV-C) || 489471 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1019 || Hepatitis B virus genotype C (isolate Vietnam/3270/2000) (HBV-C) || 489472 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1020 || Hepatitis B virus genotype D subtype ayw (isolate Japan/JYW796/1988) (HBV-D) || 489487 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1021 || Hepatitis B virus genotype D subtype ayw (isolate Australia/AustKW/1991) (HBV-D) || 489488 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1022 || Hepatitis B virus genotype D subtype ayw (isolate Italy/CI/1992) (HBV-D) || 489489 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1023 || Hepatitis B virus genotype D (isolate Germany/1-91/1991) (HBV-D) || 489490 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1024 || Hepatitis B virus genotype E subtype ayw4 (isolate Kou) (HBV-E) || 489495 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1025 || Hepatitis B virus genotype E (isolate Cote d&#039;Ivoire/ABI-129/2003) (HBV-E) || 489496 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1026 || Hepatitis B virus genotype E (isolate Chimpanzee/Ch195/1999) (HBV-E) || 489497 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1027 || Hepatitis B virus genotype E (isolate Cote d&#039;Ivoire/ABI-212/2003) (HBV-E) || 489498 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1028 || Hepatitis B virus genotype F1 subtype adw4 (isolate El Salvador/1116Sal/1997) (HBV-F) || 489499 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1029 || Hepatitis B virus genotype F1 (isolate Argentina/sa11/2000) (HBV-F) || 489500 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1030 || Hepatitis B virus genotype F2 (isolate Argentina/sa16/2000) (HBV-F) || 489501 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1031 || Hepatitis B virus genotype F2 subtype adw4q (isolate Senegal/9203) (HBV-F) || 489503 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1032 || Hepatitis B virus genotype G (isolate United States/USG17/2002) (HBV-G) || 489537 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1033 || Hepatitis B virus genotype G (isolate IG29227/2000) (HBV-G) || 489538 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1034 || Hepatitis B virus genotype H (isolate United States/LAS2523/2002) (HBV-H) || 489539 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1035 || Hepatitis B virus genotype H subtype adw4 (isolate Nicaragua/1853Nic/1997) (HBV-H) || 489540 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1036 || Hepatitis B virus genotype H subtype adw4 (isolate Nicaragua/2928Nic/1997) (HBV-H) || 489541 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1037 || Hepatitis B virus genotype D subtype ayw (isolate France/Tiollais/1979) (HBV-D) || 490133 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1038 || Influenza A virus (strain A/Hong Kong/1/1968 H3N2) || 506350 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1039 || Hepatitis E virus genotype 3 (isolate Human/United States/US2) (HEV-3) || 509615 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1040 || Hepatitis E virus genotype 4 (isolate Human/China/T1) (HEV-4) (Hepatitis E virus genotype 4 (isolate Human/China/Ct1)) || 509627 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1041 || Human papillomavirus 73 || 51033 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1042 || Hepatitis E virus genotype 3 (isolate Swine/United States/swUS1) (HEV-3) (Hepatitis E virus genotype 3 (isolate Swine/United States/Meng)) || 512345 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1043 || Hepatitis E virus genotype 1 (isolate Human/India/Hyderabad) (HEV-1) || 512346 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1044 || Influenza B virus (strain B/Lee/1940) || 518987 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1045 || Influenza A virus (strain A/Russia:St.Petersburg/8/2006 H1N1) || 518998 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1046 || Norovirus (strain Human/NoV/United States/Norwalk/1968/GI) (Hu/NV/NV/1968/US) || 524364 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1047 || Human herpesvirus 7 (strain JI) (HHV-7) (Human T lymphotropic virus) || 57278 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1048 || Human herpesvirus 7 (strain MUK) (HHV-7) (Human T lymphotropic virus) || 57279 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1049 || Human bocavirus 2 (HBoV2) (Human bocavirus type 2) || 573977 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1050 || Rotavirus A (isolate RVA/Human/United Kingdom/A64/1987/G10P11[14]) (RV-A) || 578827 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1051 || Rotavirus A (strain RVA/Human/Japan/KUN/1980/G2P1B[4]) (RV-A) || 578829 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1052 || Rotavirus A (isolate RVA/Human/United States/WI61/1983/G9P1A[8]) (RV-A) || 578830 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1053 || Rotavirus A (strain RVA/Human/United States/D/1974/G1P1A[8]) (RV-A) || 578831 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1054 || Rotavirus A (strain RVA/Human/Japan/YO/1977/G3P1A[8]) (RV-A) || 578832 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1055 || Rotavirus A (strain RVA/Human/United States/M/1976/G3P[X]) (RV-A) || 578834 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1056 || Rotavirus A (isolate RVA/Human/Belgium/B4106/2000/G3P11[14]) (RV-A) (Rotavirus A (isolate B4106)) || 578843 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1057 || Variola virus (isolate Human/India/Ind3/1967) (VARV) (Smallpox virus) || 587200 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1058 || Getah virus (GETV) || 59300 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1059 || Sagiyama virus (SAGV) || 59303 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1060 || Ilheus virus (ILHV) || 59563 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1061 || Monkeypox virus (strain Zaire-96-I-16) (MPX) || 619591 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1062 || Influenza A virus (strain A/Kitakyushu/159/1993 H3N2) || 62478 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1063 || Hepatitis C virus genotype 1a (isolate H77) (HCV) || 63746 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1064 || Rotavirus A (isolate RVA/Human/India/116E/1986/G9P8[11]) (RV-A) || 638299 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1065 || Human bocavirus 3 (HBoV3) (Adelavirus W471) || 638313 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1066 || Influenza A virus (strain swl A/California/04/2009 H1N1) || 641501 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1067 || Usutu virus (USUV) || 64286 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1068 || Tembusu virus (TMUV) || 64293 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1069 || Bussuquara virus (BUSV) || 64304 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1070 || Rocio virus (ROCV) || 64315 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1071 || Zika virus (ZIKV) || 64320 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1072 || Influenza A virus (strain swl A/New York/23/2009 H1N1) || 643546 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1073 || Influenza A virus (strain swl A/Mexico/InDRE4487/2009 H1N1) || 643780 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1074 || Influenza A virus (strain swl A/Paris/2590/2009 H1N1) || 644653 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1075 || Influenza A virus (strain swl A/Mexico/4108/2009 H1N1) || 644882 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1076 || Measles virus (strain Ichinose-B95a) (MeV) (Subacute sclerose panencephalitis virus) || 645098 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1077 || Human astrovirus VA1 (HAstV-VA1) (Mamastrovirus 9) || 645687 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1078 || Orf virus (strain Goat/Texas/SA00/2000) (OV-SA00) (Orf virus-San Angelo 2000) || 647330 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1079 || Human picobirnavirus (strain Human/Thailand/Hy005102/-) (PBV) || 647332 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1080 || Colorado tick fever virus (strain USA/Florio N-7180) (CTFV) || 648168 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1081 || Human parvovirus B19 (strain HV) (HPV B19) || 648237 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1082 || Human parvovirus B19 (isolate AU) (HPV B19) || 648238 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1083 || Influenza A virus (strain swl A/Guangdong/02/2009 H1N1) || 649331 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1084 || Human rhinovirus A serotype 89 (strain 41467-Gallo) (HRV-89) || 650130 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1085 || Aichi virus (strain Human/A846/88/1989) (AiV) (Aichi virus (strain A846/88)) || 650132 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1086 || Influenza A virus (strain swl A/Italy/05/2009 H1N1) || 651124 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1087 || Salivirus A (isolate Human/Nigeria/NG-J1/2007) (SV-A) || 651733 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1088 || Hepatitis E virus genotype 1 (isolate Human/China/HeBei/1987) (HEV) || 652674 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1089 || Influenza A virus (strain swl A/Sakai/1/2009 H1N1) || 652935 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1090 || Crimean-Congo hemorrhagic fever virus (strain Nigeria/IbAr10200/1970) (CCHFV) || 652961 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1091 || Human klassevirus 1 (HKV-1) || 655603 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1092 || Measles virus (strain Shanghai-191 vaccine) (MeV) || 673322 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1093 || Human torovirus (HuTV) || 67605 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1094 || Torque teno virus (isolate Human/Finland/Hel32/2002) (TTV) (Torque teno virus genotype 6) || 687342 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1095 || Torque teno virus (isolate Human/Germany/KAV/2001) (TTV) || 687345 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1096 || Torque teno virus (isolate Japanese macaque/Japan/Mf-TTV9/2000) (TTV) || 687364 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1097 || Torque teno virus (isolate Human/China/CT23F/2001) (TTV) || 687366 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1098 || Primate bocaparvovirus 1 (strain Human bocavirus 1 type 1) (HBoV1) (Human bocavirus type 1) || 689403 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1099 || Human enterovirus 71 (strain USA/BrCr/1970) (EV71) (EV-71) || 69153 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1100 || Coxsackievirus A16 (strain G-10) || 69159 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1101 || Human cytomegalovirus (strain 1042) (HHV-5) (Human herpesvirus 5) || 69162 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1102 || Human cytomegalovirus (strain 2387) (HHV-5) (Human herpesvirus 5) || 69163 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1103 || Human cytomegalovirus (strain 4654) (HHV-5) (Human herpesvirus 5) || 69164 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1104 || Human cytomegalovirus (strain 5040) (HHV-5) (Human herpesvirus 5) || 69165 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1105 || Human cytomegalovirus (strain 5035) (HHV-5) (Human herpesvirus 5) || 69166 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1106 || Human cytomegalovirus (strain 5160) (HHV-5) (Human herpesvirus 5) || 69167 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1107 || Human cytomegalovirus (strain 5508) (HHV-5) (Human herpesvirus 5) || 69168 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1108 || Human cytomegalovirus (strain PT) (HHV-5) (Human herpesvirus 5) || 69169 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1109 || Severe acute respiratory syndrome coronavirus (SARS-CoV) || 694009 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1110 || Human metapneumovirus (strain CAN97-83) (HMPV) || 694067 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1111 || Measles virus (strain Edmonston B) (MeV) (Subacute sclerose panencephalitis virus) || 70146 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1112 || Measles virus (strain Leningrad-16) (MeV) (Subacute sclerose panencephalitis virus) || 70147 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1113 || Measles virus (strain Philadelphia-26) (MeV) (Subacute sclerose panencephalitis virus) || 70148 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1114 || Measles virus (strain Edmonston-Zagreb vaccine) (MeV) (Subacute sclerose panencephalitis virus) || 70149 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1115 || Tick-borne encephalitis virus (strain Hypr) (TBEV) || 70733 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1116 || Aichi virus (AiV) || 72149 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1117 || Human cytomegalovirus (strain 119) (HHV-5) (Human herpesvirus 5) || 73483 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1118 || Human immunodeficiency virus type 2 subtype A (isolate KR) (HIV-2) || 73484 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1119 || Orf virus (strain NZ7) (OV NZ-7) || 73495 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1120 || Human associated cyclovirus 1 (isolate Homo sapiens/Pakistan/PK5510/2007) (HuCyV-1) (Cyclovirus PK5510) || 742918 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1121 || Torque teno virus 1 (isolate TA278) || 766182 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1122 || Torque teno mini virus 1 (isolate TLMV-CBD279) || 766183 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1123 || Torque teno midi virus 1 (isolate MD1-073) || 766184 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1124 || Dugbe virus (isolate ArD44313) (DUGV) || 766194 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1125 || Bunyavirus La Crosse (isolate Human/United States/L78/1978) || 796210 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1126 || Human papillomavirus type RTRX7 || 79691 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1127 || Human respiratory syncytial virus B (strain B1) || 79692 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1128 || Rotavirus A (isolate RVA/Human/Israel/RO1845/1993/G3P5A[3]) (RV-A) || 79694 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1129 || O&#039;nyong-nyong virus (strain Igbo Ora) (ONNV) (Igbo Ora virus) || 79899 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1130 || Lordsdale virus (strain GII/Human/United Kingdom/Lordsdale/1993) (Human enteric calicivirus) (Hu/NV/LD/1993/UK) || 82658 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1131 || Sapporo virus (strain Human/United Kingdom/Manchester/1993) (Hu/SV/Man/1993/UK) || 82659 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1132 || Epstein-Barr virus (strain P3HR-1) (HHV-4) (Human herpesvirus 4) || 82829 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1133 || Epstein-Barr virus (strain AG876) (HHV-4) (Human herpesvirus 4) || 82830 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1134 || Human immunodeficiency virus type 1 group M subtype B (isolate LW123) (HIV-1) || 82834 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1135 || Human herpesvirus 8 type P (isolate GK18) (HHV-8) (Kaposi&#039;s sarcoma-associated herpesvirus) || 868565 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1136 || Influenza A virus (strain A/Brevig Mission/1/1918 H1N1) (Influenza A virus (strain A/South Carolina/1/1918 H1N1)) || 88776 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1137 || Hepatitis B virus genotype C subtype ayr (isolate Human/Japan/Okamoto/-) (HBV-C) || 928302 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1138 || Hendra virus (isolate Horse/Autralia/Hendra/1994) || 928303 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1139 || Yaba monkey tumor virus (strain VR587) (YMTV) || 928314 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1140 || Influenza A virus (strain A/Goose/Guangdong/1/1996 H5N1 genotype Gs/Gd) || 93838 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1141 || Influenza B virus (strain B/Memphis/3/1989) || 98827 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1142 || Influenza B virus (strain B/Memphis/12/1997) || 98832 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1143 || SFTS phlebovirus (isolate SFTSV/Human/China/HB29/2010) (Severe fever with thrombocytopenia virus) || 992212 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1144 || Chiba virus (strain GI/Human/Japan/Chiba 407/1987) (Hu/NLV/Chiba 407/1987/JP) || 99565 ||  ||  || https://www.uniprot.org/uniprotkb?query=(taxonomy_id:10239)&lt;br /&gt;
|-&lt;br /&gt;
| 1145 || Aigai virus || 2849717 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1146 || Alenquer virus || 629726 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1147 || Anelloviridae sp. || 2055263 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1148 || Aura virus || 44158 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1149 || Banna virus || 77763 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1150 || Banzi virus || 38837 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1151 || Barmah Forest virus || 11020 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1152 || Batai virus || 80942 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1153 || Bhanja virus || 1213620 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1154 || Borna disease virus 1 || 1714621 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1155 || Bourbon virus || 1618189 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1156 || Bovine papular stomatitis virus || 129727 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1157 || Bundibugyo virus || 565995 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1158 || Bólè tick virus 3 || 1608042 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1159 || Běijí nairovirus || 2304647 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1160 || Cache Valley virus || 80935 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1161 || Caraparú virus || 192196 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1162 || Cardamones virus || 1437125 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1163 || Catú virus || 1678225 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1164 || Chagres virus || 629727 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1165 || Chandipura virus || 11272 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1166 || Chicken anemia virus || 12618 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1167 || Choclo virus || 169173 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1168 || Coclé virus || 1649829 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1169 || Colorado tick fever virus || 46839 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1170 || Ebola virus || 1570291 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1171 || Echarate virus || 1000646 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1172 || Ekpoma virus 1 || 1987020 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1173 || Ekpoma virus 2 || 1987021 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1174 || European bat lyssavirus 1 || 57482 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1175 || European bat lyssavirus 2 || 57483 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1176 || Fort Sherman virus || 273345 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1177 || GB virus-B || 2847087 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1178 || Gemycircularvirus sp. || 1983771 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1179 || Gibbon ape leukemia virus || 11840 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1180 || Guaroa virus || 80941 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1181 || Heartland virus || 1216928 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1182 || Human circovirus VS6600022 || 1525173 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1183 || Human genital-associated circular DNA virus-1 || 1488574 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1184 || Ilesha virus || 273341 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1185 || Ilhéus virus || 59563 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1186 || Ingwavuma virus || 159145 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1187 || JC polyomavirus || 10632 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1188 || Jamestown Canyon virus || 35511 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1189 || Japanese encephalitis virus || 11072 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1190 || Kadipiro virus || 104580 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1191 || Keystone virus || 35514 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1192 || Kyasanur Forest disease virus || 33743 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1193 || LI polyomavirus || 1965344 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1194 || La Crosse virus || 11577 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1195 || Langat virus || 11085 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1196 || Le Dantec virus || 318848 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1197 || Lángyá virus || 2971765 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1198 || MW polyomavirus || 1203539 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1199 || Madrid virus || 348013 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1200 || Maguari virus || 11575 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1201 || Maldonado virus || 1004889 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1202 || Marituba virus || 292278 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1203 || Mayaro virus || 59301 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1204 || Melao virus || 35515 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1205 || Merkel cell polyomavirus || 493803 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1206 || Middelburg virus || 11023 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1207 || Middle East respiratory syndrome-related coronavirus || 1335626 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1208 || Moloney murine leukemia virus || 11801 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1209 || Mundri virus || 2913478 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1210 || Murray Valley encephalitis virus || 11079 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1211 || Nairobi sheep disease virus || 194540 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1212 || Nelson Bay orthoreovirus || 118027 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1213 || Ngari virus || 273357 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1214 || Norwalk virus || 11983 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1215 || Omsk hemorrhagic fever virus || 12542 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1216 || Oriboca virus || 192199 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1217 || Oropouche virus || 118655 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1218 || Orungo virus || 40058 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1219 || Oya virus || 181003 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1220 || Powassan virus || 11083 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1221 || Punta Toro virus || 11587 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1222 || Rift Valley fever virus || 11588 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1223 || Ross River virus || 11029 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1224 || SAfia-838D_Ambidensovirus || 3070158 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1225 || STL polyomavirus || 1277649 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1226 || Sabiá virus || 2907957 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1227 || Sapporo virus || 95342 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1228 || Semliki Forest virus || 11033 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1229 || Sindbis virus || 11034 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1230 || Sosuga virus || 1452514 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1231 || St. Louis encephalitis virus || 11080 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1232 || Sōnglǐng virus || 2795181 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1233 || TTV-like mini virus || 93678 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1234 || Tacaiuma virus || 611707 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1235 || Tahyňa virus || 45270 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1236 || Tanapox virus || 99000 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1237 || Tataguine virus || 1623310 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1238 || Tembusu virus || 64293 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1239 || Toscana virus || 11590 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1240 || Trichodysplasia spinulosa-associated polyomavirus || 862909 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1241 || Tǎchéng tick virus 1 || 1608083 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1242 || Tǎchéng tick virus 2 || 1608084 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1243 || Tǎchéng tick virus 5 || 1608087 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1244 || Umbre virus || 552554 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1245 || Usutu virus || 64286 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1246 || WU polyomavirus || 440266 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1247 || Wesselsbron virus || 164416 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1248 || Yezo virus || 2825847 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1249 || Zika virus || 64320 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1250 || adeno-associated virus 2 || 10804 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1251 || avastrovirus 2 || 1239438 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1252 || avian gyrovirus 2 || 1002273 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1253 || avian paramyxovirus 1 || 2560319 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1254 || bovine leukemia virus || 11901 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1255 || bovine parvovirus 3 || 172297 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1256 || bovine viral diarrhea virus 1 || 11099 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1257 || bovine viral diarrhea virus 2 || 54315 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1258 || camelpox virus || 28873 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1259 || chimpanzee smacovirus || 1603067 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1260 || cosavirus A1 || 2757769 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1261 || cosavirus B1 || 2849707 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1262 || cosavirus D1 || 586468 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1263 || cosavirus E1 || 2849712 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1264 || cosavirus F1 || 2849713 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1265 || cowpox virus || 10243 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1266 || coxsackievirus A2 || 33757 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1267 || coxsackievirus B3 || 12072 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1268 || dengue virus || 12637 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1269 || ectromelia virus || 12643 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1270 || enterovirus D68 || 42789 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1271 || equine torovirus || 329862 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1272 || gyrovirus 4 || 1214955 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1273 || gyrovirus GyV3 || 1163715 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1274 || gyrovirus Tu243 || 1415627 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1275 || gyrovirus Tu789 || 1415628 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1276 || hepatitis D virus 1 || 2847173 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1277 || hepatitis D virus 2 || 2847174 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1278 || hepatitis D virus 3 || 2847175 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1279 || hepatitis D virus 4 || 2847176 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1280 || hepatitis E virus || 291484 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1281 || human adenovirus 40 || 28284 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1282 || human adenovirus 52 || 332179 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1283 || human associated cyclovirus 1 || 2038719 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1284 || human associated cyclovirus 10 || 2038728 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1285 || human associated cyclovirus 11 || 1987745 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1286 || human associated cyclovirus 12 || 2169855 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1287 || human associated cyclovirus 2 || 2038720 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1288 || human associated cyclovirus 3 || 2038721 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1289 || human associated cyclovirus 4 || 2038722 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1290 || human associated cyclovirus 5 || 2038723 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1291 || human associated cyclovirus 6 || 2038724 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1292 || human associated cyclovirus 7 || 2038725 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1293 || human associated cyclovirus 8 || 2038726 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1294 || human associated cyclovirus 9 || 2038727 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1295 || human associated gemykibivirus 1 || 2004487 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1296 || human associated gemykibivirus 2 || 2004957 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1297 || human associated gemykibivirus 3 || 2004960 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1298 || human associated gemykibivirus 4 || 2004961 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1299 || human associated gemykibivirus 5 || 2004962 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1300 || human associated gemyvongvirus 1 || 1985415 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1301 || human associated porprismacovirus || 2530494 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1302 || human associated porprismacovirus 3 || 2496633 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1303 || human bocavirus 1 || 689403 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1304 || human bocavirus 2c || 2773471 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1305 || human circovirus 1 || 3025750 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1306 || human feces smacovirus 2 || 1820158 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1307 || human feces smacovirus 3 || 1820159 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1308 || human metapneumovirus || 162145 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1309 || human papillomavirus 10 || 333759 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1310 || human papillomavirus 101 || 915425 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1311 || human papillomavirus 109 || 915426 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1312 || human papillomavirus 112 || 915427 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1313 || human papillomavirus 116 || 915428 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1314 || human papillomavirus 121 || 915429 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1315 || human papillomavirus 126 || 1055684 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1316 || human papillomavirus 127 || 746832 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1317 || human papillomavirus 128 || 931209 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1318 || human papillomavirus 131 || 909330 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1319 || human papillomavirus 135 || 1070408 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1320 || human papillomavirus 137 || 1070410 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1321 || human papillomavirus 144 || 1070417 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1322 || human papillomavirus 156 || 1248396 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1323 || human papillomavirus 16 || 333760 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1324 || human papillomavirus 163 || 1315262 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1325 || human papillomavirus 167 || 1420545 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1326 || human papillomavirus 172 || 1434987 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1327 || human papillomavirus 175 || 1434782 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1328 || human papillomavirus 178 || 1478160 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1329 || human papillomavirus 18 || 333761 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1330 || human papillomavirus 184 || 1472343 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1331 || human papillomavirus 187 || 1851130 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1332 || human papillomavirus 201 || 1682340 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1333 || human papillomavirus 204 || 1650736 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1334 || human papillomavirus 32 || 333763 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1335 || human papillomavirus 49 || 10616 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1336 || human papillomavirus 71 || 120686 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1337 || human papillomavirus 88 || 337054 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1338 || human papillomavirus 92 || 211787 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1339 || human papillomavirus 96 || 247269 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1340 || human parainfluenza virus 4a || 11224 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1341 || human parvovirus 4 || 289365 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1342 || human parvovirus B19 || 10798 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1343 || human pegivirus || 1758225 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1344 || human polyomavirus 6 || 746830 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1345 || human polyomavirus 7 || 746831 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1346 || human polyomavirus 9 || 943908 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1347 || human respiratory-associated brisavirus || 3116878 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1348 || human smacovirus 1 || 1595998 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1349 || influenza A virus || 11320 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1350 || influenza C virus || 11552 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1351 || louping ill virus || 11086 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1352 || mamastrovirus 1 || 1239565 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1353 || mamastrovirus 5 || 1239569 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1354 || mamastrovirus 6 || 1239570 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1355 || mamastrovirus 8 || 1239572 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1356 || mamastrovirus 9 || 1239573 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1357 || mammalian orthoreovirus 3 || 538123 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1358 || molluscum contagiosum virus || 10279 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1359 || mouse mammary tumor virus || 11757 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1360 || orf virus || 10258 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1361 || parainfluenza virus 5 || 2905673 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1362 || poliovirus 1 || 12080 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1363 || porcine circovirus 1 || 133704 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1364 || porcine circovirus 2 || 85708 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1365 || porcine coronavirus HKU15 || 1159905 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1366 || porcine torovirus || 237020 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1367 || primate T-lymphotropic virus 1 || 194440 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1368 || primate T-lymphotropic virus 2 || 194441 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1369 || primate T-lymphotropic virus 3 || 194443 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1370 || pseudocowpox virus || 129726 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1371 || rat hepatitis E virus || 2848048 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1372 || rhinovirus A1 || 573824 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1373 || rhinovirus B3 || 44130 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1374 || rhinovirus C1 || 1219416 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1375 || rosavirus A2 || 1511807 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1376 || rotavirus A || 28875 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1377 || rotavirus B || 28876 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1378 || rotavirus C || 36427 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1379 || rotavirus H || 1348384 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1380 || rubella virus || 11041 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1381 || salivirus A1 || 2847280 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1382 || sandfly fever Naples virus || 206160 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1383 || sandfly fever Sicilian virus || 28292 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1384 || severe acute respiratory syndrome coronavirus || 2901879 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1385 || severe fever with thrombocytopenia syndrome virus || 1003835 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1386 || simian foamy virus Pan troglodytes schweinfurthii || 2849769 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1387 || simian foamy virus Pan troglodytes troglodytes || 2849770 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1388 || simian immunodeficiency virus || 11723 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1389 || simian parvovirus || 31598 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1390 || tick-borne encephalitis virus || 11084 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1391 || torque teno midi virus 1 || 687379 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1392 || torque teno midi virus 10 || 2065051 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1393 || torque teno midi virus 11 || 2065052 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1394 || torque teno midi virus 12 || 2065053 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1395 || torque teno midi virus 13 || 2065054 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1396 || torque teno midi virus 14 || 2065055 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1397 || torque teno midi virus 15 || 2065056 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1398 || torque teno midi virus 2 || 687380 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1399 || torque teno midi virus 3 || 2065044 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1400 || torque teno midi virus 4 || 2065045 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1401 || torque teno midi virus 5 || 2065046 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1402 || torque teno midi virus 6 || 2065047 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1403 || torque teno midi virus 7 || 2065048 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1404 || torque teno midi virus 8 || 2065049 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1405 || torque teno midi virus 9 || 2065050 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1406 || torque teno mini virus 1 || 687369 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1407 || torque teno mini virus 10 || 2065036 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1408 || torque teno mini virus 11 || 2065037 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1409 || torque teno mini virus 12 || 2065038 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1410 || torque teno mini virus 18 || 1859149 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1411 || torque teno mini virus 2 || 687370 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1412 || torque teno mini virus 3 || 687371 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1413 || torque teno mini virus 4 || 687372 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1414 || torque teno mini virus 5 || 687373 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1415 || torque teno mini virus 6 || 687374 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1416 || torque teno mini virus 7 || 687375 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1417 || torque teno mini virus 8 || 687376 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1418 || torque teno mini virus 9 || 687377 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1419 || torque teno mini virus ALA22 || 1535290 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1420 || torque teno mini virus ALH8 || 1535291 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1421 || torque teno mini virus SHA || 2057931 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1422 || torque teno virus || 68887 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1423 || torque teno virus 1 || 687340 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1424 || torque teno virus 10 || 687349 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1425 || torque teno virus 13 || 687352 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1426 || torque teno virus 15 || 687354 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1427 || torque teno virus 17 || 687356 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1428 || torque teno virus 18 || 687357 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1429 || torque teno virus 19 || 687358 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1430 || torque teno virus 2 || 687341 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1431 || torque teno virus 20 || 687359 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1432 || torque teno virus 21 || 687360 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1433 || torque teno virus 24 || 687363 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1434 || torque teno virus 29 || 687368 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1435 || torque teno virus 3 || 687342 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1436 || torque teno virus 5 || 687344 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1437 || torque teno virus 6 || 687345 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1438 || torque teno virus 7 || 687346 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1439 || torque teno virus 9 || 687348 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1440 || transmissible gastroenteritis virus || 11149 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1441 || variegated squirrel bornavirus 1 || 1885248 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1442 || vesicular exanthema of swine virus || 35612 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1443 || vesicular stomatitis Indiana virus || 11277 || PMID: 39923424 ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 1444 || yellow fever virus || 11089 || PMID: 39923424 || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1445 || Enterovirus D || 138951 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1446 || Human mastadenovirus C || 129951 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1447 || Human mastadenovirus D || 130310 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1448 || Human mastadenovirus E || 130308 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1449 || Human orthorubulavirus 2 || 2560525 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1450 || Human orthorubulavirus 4 || 2560526 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1451 || Human parainfluenza virus 4b || 11226 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1452 || Human Respiratory syncytial virus 9320 || 253182 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1453 || Human respiratory syncytial virus A || 208893 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1454 || Human respiratory syncytial virus B || 208895 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1455 || Human respirovirus 1 || 12730 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1456 || Human respirovirus 3 || 11216 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1457 || rhinovirus A || 147711 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1458 || rhinovirus A101 || 1219381 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1459 || rhinovirus A103 || 1033850 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1460 || rhinovirus A105 || 2777143 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1461 || rhinovirus A11 || 39767 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1462 || rhinovirus A12 || 147684 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1463 || rhinovirus A13 || 185893 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1464 || rhinovirus A1B || 2777147 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1465 || rhinovirus A2 || 12130 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1466 || rhinovirus A20 || 147675 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1467 || rhinovirus A21 || 44128 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1468 || rhinovirus A22 || 185896 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1469 || rhinovirus A23 || 12135 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1470 || rhinovirus A24 || 185897 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1471 || rhinovirus A25 || 185898 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1472 || rhinovirus A28 || 147672 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1473 || rhinovirus A29 || 44129 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1474 || rhinovirus A30 || 185901 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1475 || rhinovirus A31 || 185902 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1476 || rhinovirus A34 || 185905 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1477 || rhinovirus A39 || 185907 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1478 || rhinovirus A40 || 185908 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1479 || rhinovirus A46 || 167324 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1480 || rhinovirus A47 || 185911 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1481 || rhinovirus A49 || 44131 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1482 || rhinovirus A53 || 185913 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1483 || rhinovirus A54 || 185914 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1484 || rhinovirus A58 || 44133 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1485 || rhinovirus A59 || 185918 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1486 || rhinovirus A60 || 185919 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1487 || rhinovirus A61 || 185920 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1488 || rhinovirus A63 || 185921 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1489 || rhinovirus A66 || 185923 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1490 || rhinovirus A67 || 185924 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1491 || rhinovirus A68 || 185925 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1492 || rhinovirus A78 || 147685 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1493 || rhinovirus A80 || 185934 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1494 || rhinovirus A85 || 185937 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1495 || rhinovirus A9 || 185891 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1496 || rhinovirus A94 || 185941 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1497 || rhinovirus B || 147712 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1498 || rhinovirus B100 || 2777136 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1499 || rhinovirus B101 || 2777137 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1500 || rhinovirus B14 || 12131 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1501 || rhinovirus B27 || 185900 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1502 || rhinovirus B4 || 185889 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1503 || rhinovirus B42 || 147683 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1504 || rhinovirus B6 || 147681 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1505 || rhinovirus B70 || 185926 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1506 || rhinovirus B91 || 167325 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1507 || rhinovirus C || 463676 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1508 || rhinovirus C11 || 1240004 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1509 || rhinovirus C13 || 2777132 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1510 || rhinovirus C15 || 1418033 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1511 || rhinovirus C17 || 1219404 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1512 || rhinovirus C19 || 1418043 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1513 || rhinovirus C2 || 1219376 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1514 || rhinovirus C20 || 1418062 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1515 || rhinovirus C23 || 2045067 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1516 || rhinovirus C26 || 2045069 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1517 || rhinovirus C28 || 1418042 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1518 || rhinovirus C3 || 1219377 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1519 || rhinovirus C31 || 2045073 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1520 || rhinovirus C33 || 2045074 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1521 || rhinovirus C34 || 2045075 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1522 || rhinovirus C36 || 1418041 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1523 || rhinovirus C40 || 1219406 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1524 || rhinovirus C42 || 1219407 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1525 || rhinovirus C43 || 1219413 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1526 || rhinovirus C44 || 2045079 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1527 || rhinovirus C55 || 2555550 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1528 || rhinovirus C56 || 2094116 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1529 || rhinovirus C6 || 1219378 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1530 || rhinovirus C7 || 1219379 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1531 || rhinovirus C8 || 1219380 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1532 || rhinovirus C9 || 1220265 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1533 || Orthomarburgvirus marburgense || 3052505 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1534 || Orthonairovirus haemorrhagiae || 3052518 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1535 || Orthonairovirus yezoense || 3060506 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1536 || Sudan ebolavirus || 186540 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1537 || Tai Forest ebolavirus || 186541 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1538 || Zaire ebolavirus || 186538 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1539 || Betapolyomavirus tertihominis || 1891764 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1540 || Cardiovirus B || 1821750 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1541 || Coxsackievirus A16 || 31704 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1542 || Coxsackievirus A21 || 12069 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1543 || Coxsackievirus A4 || 42785 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1544 || Coxsackievirus A6 || 86107 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1545 || Coxsackievirus A9 || 12067 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1546 || Coxsackievirus B1 || 12071 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1547 || Coxsackievirus B2 || 82639 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1548 || Coxsackievirus B4 || 12073 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1549 || Coxsackievirus B5 || 12074 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1550 || dengue virus type 1 || 11053 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1551 || dengue virus type 3 || 11069 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1552 || Eastern equine encephalitis virus || 11021 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1553 || Echovirus E11 || 12078 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1554 || Echovirus E16 || 47504 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1555 || Echovirus E18 || 47506 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1556 || Echovirus E25 || 45101 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1557 || Echovirus E30 || 41846 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1558 || Echovirus E31 || 47513 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1559 || Echovirus E4 || 35295 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1560 || Echovirus E6 || 12062 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1561 || Echovirus E7 || 46018 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1562 || Echovirus E9 || 12060 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1563 || Hepatovirus A || 12092 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1564 || Human adenovirus 1 || 10533 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1565 || Human adenovirus 106 || 3025491 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1566 || Human adenovirus 108 || 3043599 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1567 || Human adenovirus 11 || 10541 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1568 || Human adenovirus 14 || 10521 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1569 || Human adenovirus 21 || 32608 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1570 || Human adenovirus 31 || 10529 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1571 || Human adenovirus 34 || 10548 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1572 || Human adenovirus 35 || 10522 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1573 || Human adenovirus 41 || 10524 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1574 || Human adenovirus 51 || 245072 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1575 || Human adenovirus 56 || 880565 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1576 || Human adenovirus 6 || 10534 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1577 || Human adenovirus 64 || 1145295 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1578 || Human adenovirus 7 || 10519 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1579 || Human adenovirus 89 || 3033760 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1580 || Human adenovirus B3 || 45659 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1581 || Human adenovirus C108 || 3088344 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1582 || Human adenovirus D37 || 52275 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1583 || Human betaherpesvirus 5 || 10359 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1584 || human gammaherpesvirus 4 || 10376 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1585 || Human parechovirus 1B || 3092269 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1586 || Lyssavirus rabies || 11292 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1587 || Marburg virus || 33727 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1588 || Measles virus genotype B3 || 658048 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1589 || Measles virus genotype D8 || 170528 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1590 || Metapneumovirus hominis || 694067 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1591 || Morbillivirus hominis || 3052345 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1592 || Mumps virus genotype G || 1384672 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1593 || Norovirus GII || 122929 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1594 || Orthoflavivirus encephalitidis || 3052465 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1595 || Orthoflavivirus nilense || 3048448 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1596 || Orthopoxvirus monkeypox || 3431483 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1597 || Respiratory syncytial virus type A || 1439707 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 1598 || Roseomonas sp. FDAARGOS_362 || 2018065 ||  || FDA-ARGOS || &lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Eukaryotic Pathogens ==&lt;br /&gt;
&amp;lt;div style=&amp;quot;height: 500px; overflow-y: auto;&amp;quot;&amp;gt;&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
! # !! Organism Name !! NCBI_taxid !! Source_NIAID !! Source_ARGOS !! Source_WHO&lt;br /&gt;
|-&lt;br /&gt;
| 1 || Coccidioides immitis || 5501 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 2 || Coccidioides posadasii || 199306 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 3 || Microsporidia || 6029 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 4 || Mucorales || 4827 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 5 || Balamuthia mandrillaris || 66527 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 6 || Cryptosporidium parvum || 5807 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 7 || Cyclospora cayetanensis || 88456 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 8 || Entamoeba histolytica || 5759 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 9 || Giardia lamblia || 5741 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 10 || Naegleria fowleri || 5763 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 11 || Toxoplasma gondii || 5811 || https://www.niaid.nih.gov/research/niaid-biodefense-pathogens#c ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 12 || Aspergillus flavus || 5059 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 13 || Aspergillus fumigatus || 746128 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 14 || Blastomyces dermatitidis || 559297 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 15 || Candida albicans || 5476 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 16 || Candida parapsilosis || 5480 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 17 || Candidozyma auris || 498019 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 18 || Fusarium acuminatum || 5515 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 19 || Fusarium avenaceum || 40199 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 20 || Fusarium culmorum || 5516 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 21 || Fusarium graminearum || 5518 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 22 || Fusarium meridionale || 282269 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 23 || Fusarium odoratissimum || 2502994 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 24 || Fusarium oxysporum || 327505 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 25 || Fusarium oxysporum f. sp. albedinis || 72712 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 26 || Fusarium oxysporum f. sp. cepae || 396571 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 27 || Fusarium phialophorum || 2750198 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 28 || Fusarium pseudograminearum || 101028 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 29 || Fusarium verticillioides || 117187 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 30 || Fusobacteria necrophorum || 143387 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 31 || Nakaseomyces glabratus(Candida glabrata) || 5478 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 32 || Rhizopus delemar || 246409 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 33 || Rhizopus microsporus || 58291 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 34 || Rhizopus microsporus var. microsporus || 86635 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 35 || Actinomyces naeslundii || 1655 ||  ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 36 || Actinomyces oris || 544580 ||  ||  || &lt;br /&gt;
|-&lt;br /&gt;
| 37 || Aspergillus niger || 5061 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 38 || Saccharomyces cerevisiae || 4932 ||  || FDA-ARGOS || &lt;br /&gt;
|-&lt;br /&gt;
| 39 || Cryptococcus neoformans || 5207 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 40 || Histoplasma spp. || 5036 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 41 || Candida tropicalis || 5482 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 42 || Scedosporium || 41687 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 43 || Lomentospora prolificans || 41688 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 44 || Pichia kudriavzevii(Candida krusei) || 4909 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 45 || Cryptococcus gattii || 37769 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 46 || Talaromyces marneffei || 37727 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 47 || Pneumocystis jirovecii || 42068 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 48 || Pneumocystis jirovecii RU7 || 1408657 ||  || FDA-ARGOS || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|-&lt;br /&gt;
| 49 || Paracoccidioides || 38946 ||  ||  || https://www.who.int/publications/i/item/9789240060241&lt;br /&gt;
|}&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=GW_Bioinformatics_Network&amp;diff=1108</id>
		<title>GW Bioinformatics Network</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=GW_Bioinformatics_Network&amp;diff=1108"/>
		<updated>2026-01-01T19:20:30Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* 2025 Fall Meeting */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Contents ==&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
== About ==&lt;br /&gt;
The GW Bioinformatics Network was established in the fall of 2024 when a group of principal investigators came together to discuss their shared research interests and explore opportunities for improved collaboration.  &lt;br /&gt;
&lt;br /&gt;
== Upcoming Meetings ==&lt;br /&gt;
=== 2025 Spring Meeting (GW-Bioinformatics Symposium) ===&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; April 29th. &lt;br /&gt;
&#039;&#039;&#039;Overall idea:&#039;&#039;&#039; All-hands, all-day meeting/conference. We will have posters and talks. Students, staff, and faculty will be encouraged to join.  &lt;br /&gt;
&#039;&#039;&#039;Link:&#039;&#039;&#039; [https://hivelab.biochemistry.gwu.edu/wiki/2025_Bioinformatics_Symposium 2025 Bioinformatics Symposium]&lt;br /&gt;
&lt;br /&gt;
=== 2025 Fall Meeting ===&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; NA  &lt;br /&gt;
&lt;br /&gt;
== Past Meetings ==&lt;br /&gt;
[[File:sym.jpg|thumb|right|250px|Attendee picture | 1st Bioinformatics Retreat (2024 Fall)]]&lt;br /&gt;
[[File:Notes.png|thumb|right|250px|Attendee picture | Attendee notes | 1st Bioinformatics Retreat(2024 Fall)]]&lt;br /&gt;
=== 2024 Fall Meeting ===&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; 10/31/2024  &lt;br /&gt;
&#039;&#039;&#039;Fall Retreat (PD/PI-Only):&#039;&#039;&#039; A smaller meeting dedicated to discussions about proposals, funding, and our strategic mission.  &lt;br /&gt;
&#039;&#039;&#039;Notes:&#039;&#039;&#039; Notes from Fall 2024 meeting.&lt;br /&gt;
&lt;br /&gt;
== LISTSERV ==&lt;br /&gt;
Anyone interested in bioinformatics at GW can subscribe. To subscribe to the listserv, which we can use to share funding, collaboration, and training opportunities, please follow these steps:  &lt;br /&gt;
&lt;br /&gt;
# Go to your email program and choose &#039;&#039;&#039;Compose&#039;&#039;&#039;. Keep &#039;&#039;&#039;SUBJECT&#039;&#039;&#039; empty.  &lt;br /&gt;
# Type the bolded text below:  &lt;br /&gt;
#&#039;&#039;&#039;TO:&#039;&#039;&#039; listserv@hermes.gwu.edu  &lt;br /&gt;
#&#039;&#039;&#039;MESSAGE TEXT:&#039;&#039;&#039; &#039;&#039;&#039;subscribe BIOINFO your-first-name your-last-name&#039;&#039;&#039;  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Bioinformatics Funding Opportunities ==&lt;br /&gt;
See [https://blogs.gwu.edu/smhsresearch/genomics/ here] for bioinformatics related funding opportunities.  &lt;br /&gt;
== GW Bioinformatics Labs/Groups ==&lt;br /&gt;
* [https://cblab.org/ Alekseyev, Max Lab]  &lt;br /&gt;
* Bradley, Brenda Lab&lt;br /&gt;
* Berger, Seth Lab  &lt;br /&gt;
* Broniatowski, David Lab  &lt;br /&gt;
* Caldovic, Ljubica Lab  &lt;br /&gt;
* Callier, Shawneequa Lab  &lt;br /&gt;
* Crandall, Keith Lab  &lt;br /&gt;
* Garbey, Marc Lab  &lt;br /&gt;
* Gaylord, Clark Group  &lt;br /&gt;
* Gulla, Aiste Lab&lt;br /&gt;
* Horvath, Anelia Lab  &lt;br /&gt;
* Huang Lab  &lt;br /&gt;
* Kaminski, Henry Lab  &lt;br /&gt;
* [https://hivelab.biochemistry.gwu.edu/ Mazumder, Raja Lab (Biochemistry, SMHS)]  &lt;br /&gt;
* Morizono, Hiroki Lab  &lt;br /&gt;
* Orti, Guillermo Lab  &lt;br /&gt;
* Peng, Weiqun Lab  &lt;br /&gt;
* Perez-Losada, Marcos Lab  &lt;br /&gt;
* Pyron, Alex Lab  &lt;br /&gt;
* Qiu, Xiangyun Lab  &lt;br /&gt;
* Rahman, Muhammad Lab  &lt;br /&gt;
* Rahnavard, Ali Lab  &lt;br /&gt;
* Jo Lynne Rokita Lab  &lt;br /&gt;
* Saw, Jimmy Lab  &lt;br /&gt;
* Sepulveda, Jorge Lab  &lt;br /&gt;
* Simha, Rahul Lab  &lt;br /&gt;
* Zeng, Chen Lab  &lt;br /&gt;
* Zeng, Qing Lab&lt;br /&gt;
* Zirikly, Aya Lab&lt;br /&gt;
&lt;br /&gt;
== Contact ==&lt;br /&gt;
To add your name to this list please email mazumder_lab@gwu.edu. If you have a URL for your lab, please let us know so that we can link it. This will allow others to learn about your research and also find other faculty and staff in your lab/group.&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=1097</id>
		<title>Volunteership Fall 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=1097"/>
		<updated>2025-11-26T17:56:18Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Dates */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2025 Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Application Deadline&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 22, 2025, Noon (email your updated resume and projects in order of preference). Acceptance letter/email will be sent to candidates latest the day after the kick-off meeting.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 25, 2025 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: September 1st, 2025 – November 30th, 2025&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[https://hivelab.biochemistry.gwu.edu/wiki/Volunteership_2025 Summer 2025 Volunteership] (Closed)&lt;br /&gt;
&lt;br /&gt;
[https://hivelab.biochemistry.gwu.edu/wiki/Volunteership_Spring_2026 Spring 2026 Volunteership]&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Regular Zoom meetings with the assigned project point of contact.&lt;br /&gt;
# Attend some lectures or seminars remotely (max 4-5).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
# Continue working on LLM methods started by volunteers over the summer.&lt;br /&gt;
## The data is available as well as some preliminary research and work done by previous volunteers in this area.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger, Urnisha Bhuiyan, Kate Warner&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Tianyi Wang, Pat McNeely (optional)&lt;br /&gt;
&lt;br /&gt;
Identifying relevant and useful publicly-available datasets for machine learning is currently a resource-intensive task. This curation project aims to develop a corpus for training an AI model to recommend PMIDs with publicly-available datasets useful for intervention outcome prediction models. The corpus will include an annotation spreadsheet + annotated PDFs for PubMed articles relevant to prostate, lung, breast cancers, biomarkers and glycans, and focus on indicators such as condition, intervention, and response.&lt;br /&gt;
&lt;br /&gt;
PMID curation involves:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
# Prepare a Wikipage to showcase the validated PMIDs.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail.&lt;br /&gt;
## Additional Work: Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the Fall.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!POC Assigned&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/diya-kamalabharathy-62557935a/ Diya Kamalabharathy*]&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer, Tianyi Wang&lt;br /&gt;
|PredictMod; Glyco web development&lt;br /&gt;
|-&lt;br /&gt;
|Harivinay P. Gujjula*&lt;br /&gt;
|GlyGen&lt;br /&gt;
|Rene Ranzinger, Urnisha Bhuiyan, Kate Warner&lt;br /&gt;
|GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|Sparsh Gupta*&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Daniall Masood, Maria Kim&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Vishal Muthusekaran&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Daniall Masood, Maria Kim&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Miao Wang*&lt;br /&gt;
|ARGOS&lt;br /&gt;
|Christie Woodside, Jonathon Keeney&lt;br /&gt;
|ARGOS&lt;br /&gt;
|-&lt;br /&gt;
|Anika Sikka&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer, Tianyi Wang&lt;br /&gt;
|PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/farah-kamila/ Farah Kamila]&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer, Tianyi Wang&lt;br /&gt;
|PredictMod, ARGOS, BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Arhamur Rauf&lt;br /&gt;
|ARGOS&lt;br /&gt;
|Christie Woodside, Jonathon Keeney&lt;br /&gt;
|ARGOS, GlyGen, PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/ashley-tien/ Ashley Tien]&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer, Tianyi Wang&lt;br /&gt;
|ARGOS, PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Namrata Oruganti&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|Daniall Masood, Maria Kim&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Returning volunteer.&lt;br /&gt;
&lt;br /&gt;
== Fall Symposium ==&lt;br /&gt;
The Fall symposium will be held virtually.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; Nov 26th, 2025 (Wednesday)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Time:&#039;&#039;&#039; 3 - 5 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Zoom Link&#039;&#039;&#039; - https://gwu-edu.zoom.us/j/96518488501?jst=2&lt;br /&gt;
&lt;br /&gt;
=== Agenda (All times are in Eastern Standard Time) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Time&lt;br /&gt;
!Project&lt;br /&gt;
!Presentation Title&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
|3:00-3:10 PM&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |Welcome &amp;amp; Introduction&lt;br /&gt;
|Raja Mazumder&lt;br /&gt;
|-&lt;br /&gt;
|3:10-3:35 PM&lt;br /&gt;
|PredictMod&lt;br /&gt;
|&lt;br /&gt;
* 5 min POC (Tianyi &amp;amp; Lori) intro&lt;br /&gt;
* 15 mins - PredictMod: PMID Curation for Intervention Outcome Prediction Models (IOPMs)&lt;br /&gt;
* 5 min QA&lt;br /&gt;
|Diya Kamalabharathy; Anika Sikka; Ashley Tien; Farah Kamila&lt;br /&gt;
|-&lt;br /&gt;
|3:35-4:00 PM&lt;br /&gt;
|GlyGen&lt;br /&gt;
|&lt;br /&gt;
* 5 min POC intro&lt;br /&gt;
* 15 mins - Curation of species metadata using LLM &amp;amp; Visualizing glycomics databases and their features&lt;br /&gt;
* 5 min QA&lt;br /&gt;
|Diya Kamalabharathy; Harivinay P. Gujjula&lt;br /&gt;
|-&lt;br /&gt;
|4:00-4:25 PM&lt;br /&gt;
|ARGOS&lt;br /&gt;
|&lt;br /&gt;
* 5 min POC (christie) intro&lt;br /&gt;
* 15 mins -Curation of Pathogens and QC Analysis for the Argos Project QC analysis, representative genome selection Curation of genomes 1 &amp;amp; 2&lt;br /&gt;
* 5 mins QA&lt;br /&gt;
|Miao Wang; Arhamur Rauf&lt;br /&gt;
|-&lt;br /&gt;
|4:25-4:50 PM&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|&lt;br /&gt;
* 5 min POC (Daniall and Maria) intro &lt;br /&gt;
* 15 mins - Leveraging Large Language Models to collect Biomarker data from PubMed Abstracts&lt;br /&gt;
* 5 mins QA&lt;br /&gt;
|Namrata Oruganti; Vishal Muthusekaran; Sparsh Gupta&lt;br /&gt;
|-&lt;br /&gt;
|4:50-5:00 PM&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |Remarks&lt;br /&gt;
|Raja Mazumder&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Spring_2026&amp;diff=1096</id>
		<title>Volunteership Spring 2026</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Spring_2026&amp;diff=1096"/>
		<updated>2025-11-26T17:54:55Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Volunteer Expectations */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
== 2026 Spring Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Application Deadline&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
January 9, 2026, Noon (email your updated resume and projects in order of preference). Acceptance letter/email will be sent to candidates latest the day after the kick-off meeting.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
January 12, 2026 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: January, 2026 –  April, 2026&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[[Volunteership Fall 2025|Fall 2025 Volunteership]] (Closed)&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# 30-minute Zoom meetings (during regular work hours) once a week or every other week with the assigned project point of contact (POC).&lt;br /&gt;
# Attend some lectures or seminars remotely (max 4-5).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen. &amp;lt;u&amp;gt;We are also looking for individuals who have previously worked with us to take on a coordinator role&amp;lt;/u&amp;gt;.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
# Continue working on LLM methods started by volunteers over the summer.&lt;br /&gt;
## The data is available as well as some preliminary research and work done by previous volunteers in this area.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger, Urnisha Bhuiyan, Kate Warner&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Tianyi Wang, Pat McNeely (optional)&lt;br /&gt;
&lt;br /&gt;
Identifying relevant and useful publicly-available datasets for machine learning is currently a resource-intensive task. This curation project aims to develop a corpus for training an AI model to recommend PMIDs with publicly-available datasets useful for intervention outcome prediction models. The corpus will include an annotation spreadsheet + annotated PDFs for PubMed articles relevant to prostate, lung, breast cancers, biomarkers and glycans, and focus on indicators such as condition, intervention, and response.&lt;br /&gt;
&lt;br /&gt;
PMID curation involves:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
# Prepare a Wikipage to showcase the validated PMIDs.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu. Please note that this project requires attendance at biweekly meetings and weekly 1-2 paragraph reports.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note:&#039;&#039; For anyone interested in ARGOS, you may be assigned to another project of your choice. This project is contingent on a contract extension. Please complete your project selection in order of preference.&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
Qualifications: basic/medium programming skills, knowledgeable of basic bioinformatics platforms and skills.&lt;br /&gt;
&lt;br /&gt;
# Curate and report on currently circulating pathogens to upload to ARGOS&lt;br /&gt;
## The student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
# Report Results&lt;br /&gt;
## Defend your pathogens you have selected to be added to the database. Explain their importance and what value they would hold to the scientific community if they were added.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the Spring.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!POC Assigned&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/diya-kamalabharathy-62557935a/ Diya Kamalabharathy*]&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer, Tianyi Wang&lt;br /&gt;
|PredictMod; Glyco web development&lt;br /&gt;
|-&lt;br /&gt;
|Vishal Bakshi&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Lori Krammer, Tianyi Wang&lt;br /&gt;
|PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Returning volunteer.&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=GW_Bioinformatics_Network&amp;diff=1075</id>
		<title>GW Bioinformatics Network</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=GW_Bioinformatics_Network&amp;diff=1075"/>
		<updated>2025-10-17T21:21:06Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Contents ==&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
== About ==&lt;br /&gt;
The GW Bioinformatics Network was established in the fall of 2024 when a group of principal investigators came together to discuss their shared research interests and explore opportunities for improved collaboration.  &lt;br /&gt;
&lt;br /&gt;
== Upcoming Meetings ==&lt;br /&gt;
=== 2025 Spring Meeting (GW-Bioinformatics Symposium) ===&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; April 29th. &lt;br /&gt;
&#039;&#039;&#039;Overall idea:&#039;&#039;&#039; All-hands, all-day meeting/conference. We will have posters and talks. Students, staff, and faculty will be encouraged to join.  &lt;br /&gt;
&#039;&#039;&#039;Link:&#039;&#039;&#039; [https://hivelab.biochemistry.gwu.edu/wiki/2025_Bioinformatics_Symposium 2025 Bioinformatics Symposium]&lt;br /&gt;
&lt;br /&gt;
=== 2025 Fall Meeting ===&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; To be decided.  &lt;br /&gt;
&#039;&#039;&#039;Fall Retreat (PD/PI-Only):&#039;&#039;&#039; A smaller meeting dedicated to discussions about proposals, funding, and our strategic mission.  &lt;br /&gt;
&lt;br /&gt;
== Past Meetings ==&lt;br /&gt;
[[File:sym.jpg|thumb|right|250px|Attendee picture | 1st Bioinformatics Retreat (2024 Fall)]]&lt;br /&gt;
[[File:Notes.png|thumb|right|250px|Attendee picture | Attendee notes | 1st Bioinformatics Retreat(2024 Fall)]]&lt;br /&gt;
=== 2024 Fall Meeting ===&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; 10/31/2024  &lt;br /&gt;
&#039;&#039;&#039;Fall Retreat (PD/PI-Only):&#039;&#039;&#039; A smaller meeting dedicated to discussions about proposals, funding, and our strategic mission.  &lt;br /&gt;
&#039;&#039;&#039;Notes:&#039;&#039;&#039; Notes from Fall 2024 meeting.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== LISTSERV ==&lt;br /&gt;
Anyone interested in bioinformatics at GW can subscribe. To subscribe to the listserv, which we can use to share funding, collaboration, and training opportunities, please follow these steps:  &lt;br /&gt;
&lt;br /&gt;
# Go to your email program and choose &#039;&#039;&#039;Compose&#039;&#039;&#039;. Keep &#039;&#039;&#039;SUBJECT&#039;&#039;&#039; empty.  &lt;br /&gt;
# Type the bolded text below:  &lt;br /&gt;
#&#039;&#039;&#039;TO:&#039;&#039;&#039; listserv@hermes.gwu.edu  &lt;br /&gt;
#&#039;&#039;&#039;MESSAGE TEXT:&#039;&#039;&#039; &#039;&#039;&#039;subscribe BIOINFO your-first-name your-last-name&#039;&#039;&#039;  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Bioinformatics Funding Opportunities ==&lt;br /&gt;
See [https://blogs.gwu.edu/smhsresearch/genomics/ here] for bioinformatics related funding opportunities.  &lt;br /&gt;
== GW Bioinformatics Labs/Groups ==&lt;br /&gt;
* [https://cblab.org/ Alekseyev, Max Lab]  &lt;br /&gt;
* Bradley, Brenda Lab&lt;br /&gt;
* Berger, Seth Lab  &lt;br /&gt;
* Broniatowski, David Lab  &lt;br /&gt;
* Caldovic, Ljubica Lab  &lt;br /&gt;
* Callier, Shawneequa Lab  &lt;br /&gt;
* Crandall, Keith Lab  &lt;br /&gt;
* Garbey, Marc Lab  &lt;br /&gt;
* Gaylord, Clark Group  &lt;br /&gt;
* Gulla, Aiste Lab&lt;br /&gt;
* Horvath, Anelia Lab  &lt;br /&gt;
* Huang Lab  &lt;br /&gt;
* Kaminski, Henry Lab  &lt;br /&gt;
* [https://hivelab.biochemistry.gwu.edu/ Mazumder, Raja Lab (Biochemistry, SMHS)]  &lt;br /&gt;
* Morizono, Hiroki Lab  &lt;br /&gt;
* Orti, Guillermo Lab  &lt;br /&gt;
* Peng, Weiqun Lab  &lt;br /&gt;
* Perez-Losada, Marcos Lab  &lt;br /&gt;
* Pyron, Alex Lab  &lt;br /&gt;
* Qiu, Xiangyun Lab  &lt;br /&gt;
* Rahman, Muhammad Lab  &lt;br /&gt;
* Rahnavard, Ali Lab  &lt;br /&gt;
* Jo Lynne Rokita Lab  &lt;br /&gt;
* Saw, Jimmy Lab  &lt;br /&gt;
* Sepulveda, Jorge Lab  &lt;br /&gt;
* Simha, Rahul Lab  &lt;br /&gt;
* Zeng, Chen Lab  &lt;br /&gt;
* Zeng, Qing Lab&lt;br /&gt;
* Zirikly, Aya Lab&lt;br /&gt;
&lt;br /&gt;
== Contact ==&lt;br /&gt;
To add your name to this list please email mazumder_lab@gwu.edu. If you have a URL for your lab, please let us know so that we can link it. This will allow others to learn about your research and also find other faculty and staff in your lab/group.&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Publications&amp;diff=1073</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Publications&amp;diff=1073"/>
		<updated>2025-10-09T17:46:01Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;HIVE Platform Publications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Please cite use of HIVE with&amp;lt;/p&amp;gt;&lt;br /&gt;
    &amp;lt;li&amp;gt;Simonyan V and Mazumder R. High-performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis. Genes, 2014 Sep 30;5(4): 957-981. [https://www.ncbi.nlm.nih.gov/pubmed/25271953 PMID: 25271953]&amp;lt;/li&amp;gt;&lt;br /&gt;
    &amp;lt;li&amp;gt;Simonyan V, Chumakov K, Dingerdissen H, et al. High-performance integrated virtual environment (HIVE): a robust infrastructure for next-generation sequence data analysis. Database (Oxford). 2016; 2016:baw022. [https://www.ncbi.nlm.nih.gov/pubmed/26989153 PMID: 26989153]&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;HIVE Team Publications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Krammer L, McNeely PM, Bhuiyan U, Singleton SS, Arethiya N, Argaw A, Aggarwal V, Basuchoudhary A, Mazumder M, David J, Agrawal S, Sen S, Mazumder R. PredictMod: A Platform for Predicting Medical Intervention Outcomes and Sharing Custom ML/AI Models. Network and Systems Medicine&#039;&#039;.&#039;&#039; 2025. Vol. 1(1):57-66. [https://drugrepocentral.scienceopen.com/hosted-document?doi=10.14293/NSM.25.1.0007 DOI: 10.14293/NSM.25.1.0007]&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kahsay R, Bhuiyan U, Au CCH, Edwards N, Johnson L, Kulkarni S, Martinez K, Ranzinger R, Vijay-Shanker K, Vora J, Warner K, Tiemeyer M, Mazumder R. GlycoSiteMiner: an ML/AI-assisted literature mining-based pipeline for extracting glycosylation sites from PubMed abstracts. Glycobiology. 2025 May 22. [https://pubmed.ncbi.nlm.nih.gov/40401984/ PMID: 40401984].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Aoki-Kinoshita KF, Lisacek F, Mazumder R, Ranzinger R, Tiemeyer M, Yamada I, Packer NH. Meeting report of the GlySpace alliance and GaLSIC symposium. Glycobiology. 2025 Mar 28:cwaf019. [https://pubmed.ncbi.nlm.nih.gov/40156285/ PMID: 40156285].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Clarke DJB, Evangelista JE, Xie Z, Marino GB, Byrd AI, Maurya MR, Srinivasan S, Yu K, Petrosyan V, Roth ME, Milinkov M, King CH, Vora JK, Keeney J, Nemarich C, Khan W, Lachmann A, Ahmed N, Agris A, Pan J, Ramachandran S, Fahy E, Esquivel E, Mihajlovic A, Jevtic B, Milinovic V, Kim S, McNeely P, Wang T, Wenger E, Brown MA, Sickler A, Zhu Y, Jenkins SL, Blood PD, Taylor DM, Resnick AC, Mazumder R, Milosavljevic A, Subramaniam S, Ma&#039;ayan A. Playbook workflow builder: Interactive construction of bioinformatics workflows. PLoS Comput Biol. 2025 Apr 3;21(4):e1012901. [https://pubmed.ncbi.nlm.nih.gov/40179105/ PMID: 40179105].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Keeney &#039;&#039;et al&#039;&#039;. Olduvai domain expression downregulates mitochondrial pathways: implications for human brain evolution and neoteny. October 22, 2024. bioRxiv. https://doi.org/10.1101/2024.10.21.619278&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Martinez K, Agirre J, Akune Y, Aoki-Kinoshita KF, Arighi C, Axelsen KB, Bolton E, Bordeleau E, Edwards NJ, Fadda E, Feizi T, Hayes C, Ives CM, Joshi HJ, Krishna Prasad K, Kossida S, Lisacek F, Liu Y, Lütteke T, Ma J, Malik A, Martin M, Mehta AY, Neelamegham S, Panneerselvam K, Ranzinger R, Ricard-Blum S, Sanou G, Shanker V, Thomas PD, Tiemeyer M, Urban J, Vita R, Vora J, Yamamoto Y, Mazumder R. Functional implications of glycans and their curation: insights from the workshop held at the 16th Annual International Biocuration Conference in Padua, Italy. Database (Oxford). 2024 Aug 13;2024:baae073. [https://pubmed.ncbi.nlm.nih.gov/39137905/ PMID: 39137905].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kim S, Mazumder R. Enhancing scientific reproducibility through automated BioCompute Object creation using Retrieval-Augmented Generation from publications. Computer Science,  Computation and Language. https://doi.org/10.48550/arXiv.2409.15076&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu J, Singleton SS, Bhuiyan U, Krammer L, Mazumder R. Multi-omics approaches to studying gastrointestinal microbiome in the context of precision medicine and machine learning. Front. Mol. Biosci.. 19 January 2024; Sec. Molecular Diagnostics and Therapeutics. Volume 10 – 2023. [https://www.ncbi.nlm.nih.gov/pubmed/38313584 PMID: 38313584].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Keeney JG, Gulzar N, Baker JB, Klempir O, Hannigan GD, Bitton DA, Maritz JM, King CHS 4th, Patel JA, Duncan P, Mazumder R. Communicating computational workflows in a regulatory environment. Drug Discov Today. 2024 Jan 12; 103884. [https://www.ncbi.nlm.nih.gov/pubmed/38219969 PMID: 38219969].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Sylvetsky AC, Clement RA, Stearrett N, Issa NT, Dore FJ, Mazumder R, King CH, Hubal MJ, Walter PJ, Cai H, Sen S, Rother KI, Crandall KA. Consumption of sucralose and acesulfame-potassium containing diet soda alters the relative abundance of microbial taxa at the species level: findings of two pilot studies. Appl Physiol Nutr Metab. 2024 Jan 1; 49(1):125-134. [https://www.ncbi.nlm.nih.gov/pubmed/37902107 PMID: 37902107].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Vora J, Navelkar R, Vijay-Shanker K, Edwards N, Martinez K, Ding X, Wang T, Su P, Ross K, Lisacek F, Hayes C, Kahsay R, Ranzinger R, Tiemeyer M, Mazumder R. The glycan structure dictionary-a dictionary describing commonly used glycan structure terms. Glycobiology. 2023 Feb 17; cwad014 [https://www.ncbi.nlm.nih.gov/pubmed/36799723 PMID: 36799723].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lisacek F, Tiemeyer M, Mazumder R, Aoki-Kinoshita KF. Worldwide Glycoscience Informatics Infrastructure: The GlySpace Alliance. JACS Au. eCollection 2023 Jan 23; [https://www.ncbi.nlm.nih.gov/pubmed/36711080 PMID: 36711080].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Datta Chaudhuri R, Datta R, Rana S, Kar A, Vinh Nguyen Lam P, Mazumder R, Mohanty S, Sarkar S. Cardiomyocyte-specific regression of nitrosative stress-mediated S-Nitrosylation of IKKγ alleviates pathological cardiac hypertrophy. Cell Signal. 2022 Oct; 98:110403 [https://www.ncbi.nlm.nih.gov/pubmed/35835332 PMID: 35835332].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dahlin M, Singleton SS, David JA, Basuchoudhary A, Wickström R, Mazumder R, Prast-Nielsen S. Higher levels of Bifidobacteria and tumour necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. Cell Signal. 2022 ; eBioMedicine (part of The Lancet discovery science) [https://www.ncbi.nlm.nih.gov/pubmed/35598439 PMID: 35598439].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lyman DF, Bell A, Black A, Dingerdissen H, Cauley E, Gogate N, Liu D, Joseph A, Kahsay R, Crichton DJ, Mehta A, Mazumder R. Modeling and integration of N-glycan biomarkers in a comprehensive biomarker data model. Glycobiology. August 2022; [https://academic.oup.com/glycob/article/32/10/855/6655823?login=false 35925813].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Torcivia J, Abdilleh K, Seidl F, Shahzada O, Rodriguez R, Pot D, Mazumder R. Whole Genome Variant Dataset for Enriching Studies across 18 Different Cancers. Onco (Basel). June 2022; 2(2):129-144. [https://www.ncbi.nlm.nih.gov/pubmed/37841494 PMID: 37841494].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dahlin M, Singleton S, David J, Basuchoudhary A, Wickstrom, Mazumder R, Prast-Nielsen S. Higher levels of Bifidobacteria and tumor necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. eBioMedicine. June 2022; vol: 80. [https://doi.org/10.1016/j.ebiom.2022.104061 https://doi.org/10.1016/j.ebiom.2022.104061].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;King CH, Keeney J, Guimera N, Das S, Weber M, Fochtman B, Walderhaug MO, Talwar S, Patel JA, Mazumder R, Donaldson EF. Communicating regulatory high-throughput sequencing data using BioCompute Objects. Drug Discov Today. 2022 Jan 22; [https://www.ncbi.nlm.nih.gov/pubmed/35077912 PMID: 35077912].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wang Z, Hopson L, Singleton S, Yang X, Jogunoori W, Mazumder R, Obias V, Lin P, Nguyen BN, Yao M, Miller L, White J, Rao S, Mishra L. Mice with dysfunctional TGF-β signaling develop altered intestinal microbiome and colorectal cancer resistant to 5FU. Biochim Biophys Acta Mol Basis Dis. 2021 Oct 1; 1867(10):166179. [https://www.ncbi.nlm.nih.gov/pubmed/34082069 PMID: 34082069].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lyman D, Natale D, Schriml L, Anton K, Crichton DC, Mazumder R. Analysis of Biomarker Data Towards Development of a Molecular Biomarker Ontology. Proceedings of the International Conference on Biomedical Ontologies 2021 (ICBO 2021) co-located with the Workshop on Ontologies for the Behavioural and Social Sciences (OntoBess 2021) as part of the Bolzano Summer of Knowledge (BOSK 2021) Bozen-Bolzano, Italy. 2021 Sep 16-18; [https://ceur-ws.org/Vol-3073/paper13.pdf https://ceur-ws.org/Vol-3073/paper13.pdf].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Patel JA, Dean DA, King CH, Xiao N, Koc S, Minina E, Golikov A, Brooks P, Kahsay R, Navelkar R, Ray M, Roberson D, Armstrong C, Mazumder R, Keeney J. Bioinformatics tools developed to support BioCompute Objects. Database (Oxford). 2021 March 31; [https://www.ncbi.nlm.nih.gov/pubmed/33784373 PMID: 33784373].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hora B, Gulzar N, Chen Y, Karagiannis K, Cai F, Su C, Smith K, Simonyan V, Shah SA, Ahmed M, Sanchez AM, Stone M, Cohen MS, Denny TN, Mazumder R, Gao F. Streamlined Subpopulation, Subtype, and Recombination Analysis of HIV-1 Half-Genome Sequences Generated by High-Throughput Sequencing. mSphere. 2020 Oct 14; [https://www.ncbi.nlm.nih.gov/pubmed/33055255 PMID: 33055255].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hopson L, Singleton S, David J, Basuchoudhary A, Prast-Nielsen S, Klein P, Sen S, Mazumder R. Bioinformatics and machine learning in gastrointestinal microbiome research and clinical application. Prog Mol Biol Transl Sci. 2020 Sep 30; 176:141-178. [https://www.ncbi.nlm.nih.gov/pubmed/33814114 PMID: 33814114].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Torcivia J, Mazumder R. Scanning window analysis of non-coding regions within normal-tumor whole-genome sequence samples. Briefings in Bioinformatics. 2020 Sep 17; [https://www.ncbi.nlm.nih.gov/pubmed/32940334 PMID: 32940334].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Gogate N, Lyman D, Bell A, Cauley E, Crandall KA, Joseph A, Kahsay R, Natale DA, Schriml LM, Sen S, Mazumder R. COVID-19 biomarkers and their overlap with comorbidities in a disease biomarker data model. Brief Bioinform. 2021 May 20; bbab191. doi: 10.1093/bib/bbab191. [https://www.ncbi.nlm.nih.gov/pubmed/34015823 PMID: 34015823].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kahsay R, Vora J, Navelkar R, Mousavi R, Fochtman BC, Holmes X, Pattabiraman N, Ranzinger R, Mahadik R, Williamson T, Kulkarni S, Agarwal G, Martin M, Vasudev P, Garcia L, Edwards N, Zhang W, Natale DA, Ross K, Aoki-Kinoshita KF, Campbell MP, York WS, Mazumder R. GlyGen data model and processing workflow. Bioinformatics. 2020; [https://www.ncbi.nlm.nih.gov/pubmed/32324859 PMID: 32324859].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kurnat-Thoma E, Baranova A, Baird P, Brodsky E, Butte AJ, Cheema AK, Cheng F, Dutta S, Grant C, Giordano J, Maitland-van der Zee AH, Fridsma DB, Jarrin R, Kann MG, Keeney J, Loscalzo J, Madhavan G, Maron BA, McBride DK, McKean M, Mun SK, Palmer JC, Patel B, Parakh K, Pariser AR, Pristipino C, Radstake TRDJ, Rajasimha HK, Rouse WB, Rozman D, Saleh A, Schmidt HHHW, Schultz N, Sethi T, Silverman EK, Skopac J, Svab I, Trujillo S, Valentine JE, Verma D, West BJ, Vasudevan S. Recent Advances in Systems and Network Medicine: Meeting Report from the First International Conference in Systems and Network Medicine. Syst Med (New Rochelle). 2020; 3(1):22-35. [https://www.ncbi.nlm.nih.gov/pubmed/32226924 PMID: 32226924].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen HM, Bastian F, Vijay-Shanker K, Robinson-Rechavi M, Bell A, Gogate N, Gupta S, Holmes E, Kahsay R, Keeney J, Kincaid H, King CH, Liu D, Crichton DJ, Mazumder R. OncoMX: A Knowledgebase for Exploring Cancer Biomarkers in the Context of Related Cancer and Healthy Data. JCO Clin Cancer Inform. 2020; 4:210-220. [https://www.ncbi.nlm.nih.gov/pubmed/32142370 PMID: 32142370].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Aoki-Kinoshita KF, Lisacek F, Mazumder R, York WS, Packer NH. The GlySpace Alliance: toward a collaborative global glycoinformatics community. Glycobiology. 2020; 30(2):70-71. [https://www.ncbi.nlm.nih.gov/pubmed/31573039 PMID: 31573039].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;York WS, Mazumder R, Ranzinger R, et al. GlyGen: Computational and Informatics Resources for Glycoscience. Glycobiology. 2019. https://doi.org/10.1093/glycob/cwz080 [https://www.ncbi.nlm.nih.gov/pubmed/31616925 PMID: 31616925].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;King CH, Desai H, Sylvetsky AC, LoTempio J, Ayanyan S, Carrie J, Crandall K, Fochtman B, Gasparyan L, Gulzar N, Howell P, Issa N, Krampis K, Mishra L, Morizono H, Pisegna JR, Rao S, Ren Y, Simonyan V, Smith K, VedBrat S, Yao M, Mazumder R. Baseline human gut microbiota profile in healthy people and standard reporting template. PLOS ONE. 2019. [https://www.ncbi.nlm.nih.gov/pubmed/31509535 PMID: 31509535].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Fan Y, Hu Y, Yan C, Goldman R, Pan Y, Mazumder R, Dingerdissen H. Loss and gain of N-linked glycosylation sequons due to single-nucleotide variation in cancer. Scientific Reports. PLoS One. 2018; 8():4322. [https://www.ncbi.nlm.nih.gov/pubmed/29531238 PMID: 29531238].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Baekdoo Kim, Thahmina Ali, Changsu Dong, Carlos Lijeron, Raja Mazumder, Claudia Wultsch, and Konstantinos Krampis. miCloud: A Plug-n-Play, Extensible, On-Premises Bioinformatics Cloud for Seamless Execution of Complex Next-Generation Sequencing Data Analysis Pipelines. Journal of Computational Biology. 2018. http://doi.org/10.1089/cmb.2018.0218&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Alterovitz G, Dean D A, Goble C, Crusoe M R, Soiland-Reyes S, Bell A, Hayes A, King, C H S, Taylor D, Johanson E, Thompson E E, Donaldson E, Morizono H, Tsang H S, Goecks J, Yao J, Almeida J S, Krampis K, Guo L, Walderhaug M, Walsh P, Kahsay R, Gottipati S, Bloom T, Lai Y, Simonyan V, Mazumder R. Enabling Precision Medicine via standard communication of HTS provenance, analysis, and results. PLOS Biology; 16(12): e3000099. 2018. https://doi.org/10.1371/journal.pbio.3000099&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hu Y, Dingerdissen H, Gupta S, Kahsay R, Shanker V, Wan Q, Yan C, Mazumder R. Identification of key differentially expressed MicroRNAs in cancer patients through pan-cancer analysis. Computers in Biology and Medicine 2018; vol: 103 pp: 183-197. [https://www.ncbi.nlm.nih.gov/pubmed/30384176 PMID: 30384176].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Dingerdissen H, Torcivia-Rodriguez J, Hu Y, Chang T-C, Mazumder R, Kahsay R. BioMuta and BioXpress: mutation and expression knowledgebases for cancer biomarker discovery. Nucleic Acids Research. 2017. [https://pubmed.ncbi.nlm.nih.gov/30053270/ PMID: 30053270].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Karagiannis K, Simonyan V, Chumakov K, Mazumder R. Separation and assembly of deep sequencing data into discrete sub-population genomes. Nucleic Acids Research. 45(19):10989-11003. 2017. [https://www.ncbi.nlm.nih.gov/pubmed/28977510 PMID: 28977510].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Chen J, Zaidi S, Rao S, Chen J-S, Phan L, Farci P, Su X, Shetty K, White J, Zamboni F, Wu X, Rashid A, Pattabiraman N, Mazumder R, Horvath A, Wu R-C, Li S, Xiao C, Deng C-X, Wheeler D A, Mishra B, Akbani R, Mishra L. Analysis of Genomes and Transcriptomes of Hepatocellular Carcinomas Identifies Mutations and Gene Expression Changes in the Transforming Growth Factor beta Pathway. Gastroenterology. 2017; S0016-5085(17)36144-9. [https://www.ncbi.nlm.nih.gov/pubmed/28918914 PMID: 28918914].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Athey J, Alexaki A, Osipova E, Rostovtsev A, Santana-Quintero LV, Katneni U, Simonyan V, Kimchi-Sarfaty C. A new and updated resource for codon usage tables. BMC Bioinformatics. 2017; 18(1):391. [https://www.ncbi.nlm.nih.gov/pubmed/28865429 PMID: 28865429].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gannavaram S, Torcivia J, Gasparyan L, Kaul A, Ismail N, Simonyan V, Nakhasi HL. Whole genome sequencing of live attenuated Leishmania donovani parasites reveals novel biomarkers of attenuation and enables product characterization. Sci Rep. 2017; 7(1):4718. [https://www.ncbi.nlm.nih.gov/pubmed/28680050 PMID: 28680050].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Simonyan V, Chumakov K, Donaldson E, Karagiannis K, Lam PV, Dingerdissen H, Voskanian A. HIVE-heptagon: A sensible variant-calling algorithm with post-alignment quality controls. Genomics. 2017; 109(3-4):131-140. [https://www.ncbi.nlm.nih.gov/pubmed/28188908 PMID: 28188908].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Pan Y, Yan C, Fan Y, Pan Q, Wan Q, Torcivia-Rodriquez J, Mazumder R. Distribution bias analysis of germline and somatic single-nucleotide variations that impact protein functional site and neighboring amino acids. Scientific Reports. 2017; 7:42169 [https://www.ncbi.nlm.nih.gov/pubmed/28176830 PMID: 28176830].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gulzar N, Dingerdissen H, Yan C, Mazumder R. Impact of Nonsynonymous Single-Nucleotide Variations on Post-Translational Modification Sites in Human Proteins. Methods Mol Biol. 2017; 1558:159-190. [https://www.ncbi.nlm.nih.gov/pubmed/28150238 PMID: 28150238].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Simonyan V, Goecks J, Mazumder R. BioCompute objects - a step towards evaluation and validation of bio-medical scientific computations. PDA J Pharm Sci Technol. 2017; 71(2):136-146 [https://www.ncbi.nlm.nih.gov/pubmed/27974626 PMID: 27974626].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Yan C, Pattabiraman N, Goecks J, Lam P, Nayak A, Pan Y, Torcivia-Rodriquez J, Voskanian A, Wan Q, Mazumder R. Impact of germline and somatic missense variations on drug binding sites. Pharmacogenomics J. 2017; 17(2):128-136 [https://www.ncbi.nlm.nih.gov/pubmed/26810135 PMID: 26810135].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Novatt H, Theisen TC, Massie T, Simonyan V, Voskanian-Kordi A, Renn LA, Rabin RL. Distinct Patterns of Expression of Transcription Factors in Response to Interferon Beta and Interferon lambda-1. J Interferon Cytokine Res. 2016; 36(10):589-598 [https://www.ncbi.nlm.nih.gov/pubmed/27447339 PMID: 27447339].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Chen C, Huang H, Mazumder R, Natale DA, McGarvey PB, Zhang J, Poison SW, Wang Y, Wu CH, UniProt Consortium. Computational clustering for viral reference proteomes. Bioinformatics. 2016; 32(13):2041-3 [https://www.ncbi.nlm.nih.gov/pubmed/27153712 PMID: 27153712].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mahmood AS, Wu TJ, Mazumder R, Vijay-Shanker K. DiMeX: A text-mining system for mutation-disease association extraction. PLoS One. 2016; 11(4):e0152725 [https://www.ncbi.nlm.nih.gov/pubmed/27073839 PMID: 27073839].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Goldweber S, Theodore J, Torcivia-Rodriquez J, Simonyan V, Mazumder R. Pubcast and Genecast: Browsing and exploring publications and associated curated content in biology through mobile devices. IEEE/ACM Trans Comput Biol Bioinform. 2016; 14(2):498-500 [https://www.ncbi.nlm.nih.gov/pubmed/28113865 PMID: 28113865].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Laassri M, Zagorodnyaya T, Plant EP, Petrovskaya S, Bidzhieva B, Ye Z, Simonyan V, Chumakov K. Deep Sequencing for Evaluation of Genetic Stability of Influenza A/California/07/2009 (H1N1) Vaccine Viruses. PLoS One. 2015; 10(9):e0138650. [https://www.ncbi.nlm.nih.gov/pubmed/26407068 PMID: 26407068].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Sauder CJ, Ngo L, Simonyan V, Cong Y, Zhang C, Link M, Malik T, Rubin SA. Generation and propagation of recombinant mumps viruses exhibiting an additional U residue in the homopolymeric U tract of the F gene-end signal. Virus Genes. 2015; 51(1):12-24. [https://www.ncbi.nlm.nih.gov/pubmed/25962759 PMID: 25962759].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu T-J, Schriml LM, Chen Q-R, Colbert M, Crichton DJ, Finney R, Hu Y, Kibbe WA, Kincaid H, Meerzaman D, Mitraka E, Pan Y, Smith KM, Srivastava S, Ward S, Yan C, Mazumder R. Generating a focused view of Disease Ontology cancer terms for pan-cancer data integration and analysis. Database (Oxford). 2015; 2015:bav032. [https://www.ncbi.nlm.nih.gov/pubmed/25841438 PMID: 25841438].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wan Q, Dingerdissen H, Fan Y, Gulzar N, Pan Y, Wu T-J, Yang C, Zhang H, Mazumder R. BioXpress: An integrated RNA-seq derived gene expression database for pan-cancer analysis. Database (Oxford). 2015; 2015. pii: bav019 [https://www.ncbi.nlm.nih.gov/pubmed/25819073 PMID: 25819073].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Kumari P, Mazumder R, Simonyan V, Krampis K. Advantages of distributed and parallel algorithms that leverage Cloud Computing platforms for large-scale genome assembly. F1000Research. 2015; 4(20). [https://hsrc.himmelfarb.gwu.edu/cgi/viewcontent.cgi?article=1167&amp;amp;context=smhs_biochem_facpubs https://hsrc.himmelfarb.gwu.edu/cgi/viewcontent.cgi?article=1167&amp;amp;context=smhs_biochem_facpubs].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Abunimer A, Dingerdissen H, Torcivia-Rodriguez J, Vinh Nguyen Lam P, Mazumder R. Non-synonymous Single-Nucleotide Variations as Cardiovascular System Disease Biomarkers and Their Roles in Bridging Genomic and Proteomic Technologies. Biomarkers in Cardiovascular Disease. 2015. [https://link.springer.com/referenceworkentry/10.1007/978-94-007-7741-5_40-1 Springer Nature link].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Adhikari S, Chetram MA, Woodrick J, Mitra PS, Manthena PV, Khatkar P, Dakshanamurthy S, Dixon M, Karmahapatra SK, Nuthalapati NK, Gupta S, Narasimhan G, Mazumder R, Loffredo CA, Uren A, Roy R. Germ-line variants of human N-methylpurine DNA glycosylase show impaired DNA repair activity and facilitate 1,N6 ethenoadenine induced mutations. J Biol Chem. 2014; 290(8):4966-80. [https://www.ncbi.nlm.nih.gov/pubmed/25538240 PMID: 25538240].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wilson CA and Simonyan V. FDA&#039;s Activities Supporting Regulatory Application of &amp;quot;Next Gen&amp;quot; Sequencing Technologies. PDA J Pharm Sci Technol. 2014; 68(6):626-630. [https://www.ncbi.nlm.nih.gov/pubmed/25475637 PMID: 25475637].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Shamsaddini A, Pan Y, Johnson WE, Krampis K, Shcheglovitova M, Simonyan V, Zanne A, Mazumder R. Census-based rapid and accurate metagenome taxonomic profiling. BMC Genomics. 2014; 15(1):918. [https://www.ncbi.nlm.nih.gov/pubmed/25336203 PMID: 25336203].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Pan Y, Karagiannis K, Zhang H, Dingerdissen H, Shamsaddini A, Wan Q, Simonyan V, Mazumder R. Human germline and pan-cancer variomes and their distinct functional profiles. Nucleic Acids Research. 2014; 42(18):11570-88. [https://www.ncbi.nlm.nih.gov/pubmed/25232094 PMID: 25232094].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Nayak A, Pattabiraman N, Fadra N, Goldman R, Pond S, Mazumder R. Structure-function analysis of hepatitis C virus envelope glycoproteins E1 and E2. J Biomol Struct Dyn. 2014; 33(8):1682-94. [https://www.ncbi.nlm.nih.gov/pubmed/25245635 PMID: 25245635].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Faison WJ, Rostovtsev A, Castro-Nallar E, Crandall KA, Chumakov K, Simonyan V, Mazumder R. Whole genome single-nucleotide variation profile-based phylogenetic tree building methods for analysis of viral, bacterial and human genomes. Genomics. 2014; 104(1):1-7. [https://www.ncbi.nlm.nih.gov/pubmed/24930720 PMID: 24930720].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Santana-Quintero L, Dingerdissen H, Thierry-Mieg J, Mazumder R, Simonyan V. HIVE-Hexagon: High-Performance, Parallelized Sequence Alignment for Next-Generation Sequencing Data Analysis. PLOS One. 2014; 9(6):e99033. [https://www.ncbi.nlm.nih.gov/pubmed/24918764 PMID: 24918764].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen H, Weaver DS, Karp PD, Pan Y, Simonyan V, Mazumder R. A framework for application of metabolic modeling in yeast to predict the effects of nsSNV in human orthologs. Biol Direct. 2014; 9:9. [https://www.ncbi.nlm.nih.gov/pubmed/24894379 PMID: 24894379].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Bidzhieva B, Zagorodnyaya T, Karagiannis K, Simonyan V, Laassri M, Chumakov K. Deep sequencing approach for genetic stability evaluation of influenza A viruses. J Virol Methods. 2014; 199(68):75. [https://www.ncbi.nlm.nih.gov/pubmed/24406624 PMID: 24406624].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Abunimer A, Smith K, Wu T-J, Lam P, Simonyan V, Mazumder R. Single-nucleotide variations in cardiac arrhythmias: prospects for genomics and proteomics based variation detection. Genes. 2014; 5(2):254-69. [https://www.ncbi.nlm.nih.gov/pubmed/24705329 PMID: 24705329].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu T-J, Shamsaddini A, Pan Y, Smith K, Crichton DJ, Simonyan V, Mazumder R. A framework for organizing cancer related variations from existing databases, publications and NGS data using a High-performance Integrated Virtual Environment (HIVE). Database. 2014; 2014:bau022. [https://www.ncbi.nlm.nih.gov/pubmed/24667251 PMID: 24667251].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dabrazhynetskaya A, Soika V, Volokhov D, Simonyan V, Chizhikov V. Genome Sequence of Mycoplasma hyorhinis Strain DBS 1050. Genome Announce. 2014; 2(2):pii: e00127-14. [https://www.ncbi.nlm.nih.gov/pubmed/24604646 PMID: 24604646].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Cole C, Krampis K, Karagiannis K, Almeida J, Faison JW, Motwani M, Wan Q, Golikov A, Pan Y, Simonyan V, Mazumder R. Non-synonymous variations in cancer and their effects on the human proteome: workflow for NGS data biocuration and proteome-wide analysis of TCGA data. BMC Bioinformatics. 2014; 15:28. [https://www.ncbi.nlm.nih.gov/pubmed/24467687 PMID: 24467687].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mudvari P, Kowsari K, Cole C, Mazumder R, Horvath A. Extraction of molecular features through exome to transcriptome alignment. J Metabol Sys Biol. 2013; 1(1):7. [https://www.ncbi.nlm.nih.gov/pubmed/24791251 PMID: 24791251].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Basuchoudhary A, Simonyan V, Mazumder R. Community annotation and the evolution of cooperation: How patience matters. Open Bioinformatics Journal. 2013; 7:9-18.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Karagiannis K, Simonyan V, Mazumder R. SNVDis: A Proteome-wide Analysis Service for Evaluating nsSNVs in Protein Functional Sites and Pathways. Genomics Proteomics Bioinformatics. 2013; 11(2):122-126. [https://www.ncbi.nlm.nih.gov/pubmed/23618375 PMID: 23618375].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lam PV, Goldman R, Karagiannis K, Narsule T, Simonyan V, Soika V, Mazumder R. Structure-based Comparative Analysis and Prediction of N-linked Glycosylation Sites in Evolutionarily Distant Eukaryotes. Genomics Proteomics Bioinformatics. 2013; 11(2):96-104. [https://www.ncbi.nlm.nih.gov/pubmed/23459159 PMID: 23459159].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen H, Motwani M, Karagiannis K, Simonyan V, Mazumder R. Proteome-wide analysis of nonsynonymous single-nucleotide variations in active sites of human proteins. FEBS J. 2013; 280(6):1542-1562. [https://www.ncbi.nlm.nih.gov/pubmed/23350563 PMID: 23350563].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gaudet P, Arighi C, Bastian F, Bateman A, Blake JA, Cherry MJ, D&#039;Eustachio P, Finn R, Giglio M, Hirschman L, Kania R, Klimke W, Martin MJ, Karsch-Mizrachi I, Munoz-Torres M, Natale D, O&#039;Donovan C, Ouellette F, Pruitt KD, Robinson-Rechavi M, Sansone SA, Schofield P, Sutton G, Van Auken K, Vasudevan S, Wu C, Young J, Mazumder R. Recent advances in biocuration: meeting report from the Fifth International Biocuration Conference. Database (Oxford). 2012; 2012:bas036. [https://www.ncbi.nlm.nih.gov/pubmed/23110974 PMID: 23110974].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Volokhov DV, Simonyan V, Davidson MK, Chizhikov VE. RNA polymerase beta subunit (rpoB) gene and the 16S-23S rRNA intergenic transcribed spacer region (ITS) as complementary molecular markers in addition to the 16S rRNA gene phylogenetic analysis and identification of the species of the family Mycoplasmataceae. Mol Phylogenet Evol. 2012; 62(1):515-28. [https://www.ncbi.nlm.nih.gov/pubmed/22115576 PMID: 22115576].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mazumder R, Morampudi KS, Motwani M, Vasudevan S, Goldman R. Proteome-wide analysis of single-nucleotide variations in the N-glycosylation sequon of human genes. PLoS One. 2012; 7(5):e36212. [https://www.ncbi.nlm.nih.gov/pubmed/22586465 PMID: 22586465].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=METAGENOMICS_WIKI&amp;diff=974</id>
		<title>METAGENOMICS WIKI</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=METAGENOMICS_WIKI&amp;diff=974"/>
		<updated>2025-08-29T13:59:20Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: New page&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Our group has been working on developing algorithms for metagenomics analysis. Below are some of the products we have developed and maintain.&lt;br /&gt;
&lt;br /&gt;
SlimNT&lt;br /&gt;
&lt;br /&gt;
&amp;lt;nowiki&amp;gt;https://hive.biochemistry.gwu.edu/static/slimNT.db.gz&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
SlimDB&lt;br /&gt;
&lt;br /&gt;
&amp;lt;nowiki&amp;gt;https://hive.biochemistry.gwu.edu/static/slimNT.fa.gz&amp;lt;/nowiki&amp;gt;&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Projects&amp;diff=973</id>
		<title>Projects</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Projects&amp;diff=973"/>
		<updated>2025-08-29T13:56:00Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
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        &amp;lt;div style=&amp;quot;font-size:160%; padding:.1em;&amp;quot;&amp;gt;Current Projects&amp;lt;/div&amp;gt;&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://hive.biochemistry.gwu.edu/dna.cgi?cmd=main The High-performance Integrated Virtual Environment (HIVE) platform]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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HIVE is a cloud-based environment optimized for the storage and analysis of extra-large data, such as biomedical data, clinical data, next-generation sequencing (NGS) data, mass spectrometry files, confocal microscopy images, post-market surveillance data, medical recall data, and many others. HIVE provides secure web access for authorized users to deposit, retrieve, annotate and compute on Big Data, and analyze the outcomes using web user interfaces. [https://docs.google.com/document/d/1F5iq00uKkJfdSsbwanvKOy-nPnwijH56mwbwa_HhzfY/edit?tab=t.0#heading=h.7dlfmngwfzih More here].&lt;br /&gt;
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The HIVE platform and associated algorithms such as CensuScope and HIVE-Hexagon is used to support Metgenomics analysis infrastructure.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
[[GW-HIVE WIKI]]&lt;br /&gt;
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[[METAGENOMICS WIKI]]&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://argosdb.org/ FDA-ARGOS Project (Food and Drug Administration-dAtabase for Regulatory-Grade micrObial Sequences)]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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The FDA-ARGOS Project (Food and Drug Administration-dAtabase for Regulatory-Grade micrObial Sequences) is a collaborative effort to create a high-quality genomic database for identifying and characterizing microbial pathogens. Developed in partnership with the FDA, University of Maryland, and NCBI, the project provides regulatory-grade genomic data, crucial for public health and diagnostic use. Expanded in 2021 with support from GWU, Temple University, and Embleema, FDA-ARGOS aims to enhance infectious disease research through rigorous quality control protocols. The ArgosDB hosts this data, offering downloadable sequences and reproducible workflows for research and regulatory applications.[https://www.fda.gov/medical-devices/science-and-research-medical-devices/database-reference-grade-microbial-sequences-fda-argos More here].&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
[[FDA-ARGOS WIKI]]&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://www.biocomputeobject.org/ BioCompute Objects (BCO)]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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The BioCompute is FDA funded project to establish a framework for community-based development of standards for harmonization of High-throughput Sequencing (HTS), standardization of data formats, promotion of interoperability, and bioinformatics verification protocols. The BioCompute Object (BCO) was developed in the High-throughput Sequencing Computational Standards for Regulatory Sciences (HTS-CSRS) initiative in the BioCompute Objects Portal (BOP), a web portal to serve as a collaborative ground to encourage a dialogue to facilitate interoperability between different bioinformatic pipelines, industries, and developers. HIVE capabilities have been leveraged to support the development of the BCO. The BCO is versatile and adaptable to other common HTS analysis platforms. [https://docs.google.com/document/d/1WQFZm_PFiQXob4NyOKq6y-2ywnbmNoFHSS27fYf3l4Y/edit?tab=t.0#heading=h.bs8eki17tykx More here].&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
[https://wiki.biocomputeobject.org/Main_Page BIOCOMPUTE OBJECTS WIKI]&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://www.glygen.org/ GlyGen]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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GlyGen (gly-glycobiology; gen-information), [https://www.glygen.org/&amp;lt;nowiki&amp;gt;] is an advanced glycoinformatics resource developed to facilitate discovery in basic and translational glycobiology research along with enhancing the integration of multidisciplinary information from diverse resources. GlyGen includes knowledge about molecular, biophysical and functional properties of glycans, genes, and proteins organized in pathways and ontologies, plus a rapidly growing body of biological big data related to cancer mutation and expression. GlyGen adopts an innovative user-driven approach for implementing, prioritizing and knowledge disseminating tools to address the questions and needs of glycobiology community. GlyGen is funded by the National Institute of General Medical Sciences under the grant # 1R24GM146616 - 01 and the  National Institutes of Health Office of Strategic Coordination - The Common Fund under the grant # 1OT2OD032092. More information about GlyGen - &amp;lt;/nowiki&amp;gt;https://www.glygen.org/about/ &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
[https://wiki.glygen.org/Main_Page GlyGen WIKI]&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://hivelab.biochemistry.gwu.edu/predictmod PredictMod]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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PredictMod is an application designed to predict the outcome of an intervention prior to a patient initiating treatment. Our goal is to provide clinicians with a powerful decision making tool that enhances clinical understanding of patient-level data. The PredictMod platform utilizes machine learning tools and complex datasets based on electronic health records, gut microbiome, and -omics data to forecast patient outcomes, often in response to treatment for a particular condition. While our primary condition of interest is Prediabetes, the tool is designed to be used for a variety of conditions, interventions, and data types.  &amp;lt;br&amp;gt; &amp;lt;br&amp;gt;&lt;br /&gt;
[https://hivelab.biochemistry.gwu.edu/wiki/PredictMod PredictMod WIKI]&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[[GW-FEAST]]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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The GW Federated Ecosystems for Analytics and Standardized Technologies (GW-FEAST) project is part of the ARPA-H FEAST performer team initiative that includes academic and industry partners. The goal of the ARPA-H performer teams is “to create bridges across data silos to make health data more accessible and usable”. &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
[https://hivelab.biochemistry.gwu.edu/wiki/GW-FEAST GW-FEAST WIKI]&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://hivelab.biochemistry.gwu.edu/biomarker-partnership Biomarker Knowledgebase]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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The Biomarker Partnership is a CFDE sponsored project to develop a knowledgebase that will organize and integrate biomarker data from different public sources. The data will be connected to contextual information to show a novel systems-level view of biomarkers. The motivation for this project is to improve the harmonization and organization of biomarker data. This will be done by mapping biomarkers from public sources to, and across, CF data elements. This mapping will bridge knowledge across multiple DCCs and biomedical disciplines.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
[https://wiki.biomarkerkb.org/Main_Page BioMarkerKB WIKI]&lt;br /&gt;
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        &amp;lt;div style=&amp;quot;font-size:160%; padding:.1em;&amp;quot;&amp;gt;Past Projects&amp;lt;/div&amp;gt;&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://hivelab.tst.biochemistry.gwu.edu/gfkb Gut Microbiome Analytic System (Microbiome)]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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The HIVE team received NSF funding to develop a Gut Microbiome Monitoring System (GutFeeling) as a tool which when used over time will allow users to rectify their dietary (such as consumption of probiotics and prebiotics) and other lifestyle habits and to help restore their normal microbiome. Rapid analysis of the large amount of metagenomic data, a major bottleneck, has been resolved by our group through the development of a novel algorithm and accompanying software called CensuScope. Through analysis of healthy gut microbiome data, we are actively developing a Knowledge Base (GutFeelingKB) to provide a clearer picture of not only an ideal personalized microbiome but also establish baseline characteristics for each customer. The Mazumder Lab is collaborating with the Milken School of Public Health and Kamtek Sequencing Facility to investigate the relationship between bacterial species commonly present in the digestive tract, diet, physical activity, lifestyle habits, and metabolic risk factors. [https://docs.google.com/document/d/18WyVTJrrf-FR0sHt634vO8Lwel-4OQxP9sNar7gYYro/edit?tab=t.0#heading=h.7qbm3f7lky31 More here].&lt;br /&gt;
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        &amp;lt;h3&amp;gt;HIVE-EQAPOL Project on HIVE NGS Data Processing and Analysis&amp;lt;/h3&amp;gt;&lt;br /&gt;
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For this project, our group works closely with the External Quality Assurance Program Oversight Laboratory (EQAPOL) team to conduct HIV NGS data analysis and collaborate in terms of analyzing, storing, and tracking HIV NGS Data. Reliable identification of strains is critical for developing new assays, validating assay platforms, assisting regulators to evaluate test kits, monitoring HIV drug resistance, and informing vaccine development. The HIVE tools and platform are used for virus identification, recombination analysis, and clone discovery.&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://www.oncomx.org/ OncoMX]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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The OncoMX mission is to create an integrated cancer mutation and expression resource for exploring cancer biomarkers. OncoMX is a collaboration between the George Washington University (GW), NASA&#039;s Jet Propulsion Laboratory (JPL), the Swiss Institute of Bioinformatics (SIB), and the University of Delaware (UD). The core knowledgebase of OncoMX is derived from BioMuta and BioXpress integrated cancer mutation and expression databases which are actively maintained. Normal expression data from Bgee and custom text mining software augment the cancer data to improve functional interpretation of the reported variants and expression profiles. All data are wrapped into the OncoMX database and web portal, mapped to additional functional information from NCI Early Detection Research Network (EDRN) and Reactome. It is expected that the large-scale integration of cancer data and supporting information, provided by OncoMX with direct community feedback, will benefit cancer research by improving synthesis of information and may make earlier detection a reality.&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://hive.biochemistry.gwu.edu/dna.cgi?cmd=main Glycoproteomics Characterization Workflow and Data-Analysis Pipeline for Vaccines and Biosimilars]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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In this FDA funded project we are extending High-performance Integrated Virtual Environment (HIVE) capabilities through the development and integration of software tools and datasets for comparative analysis of glycoproteins. Glycomic analysis has many angles and has been extensively reviewed in recent literature. We propose to rely on the independent development of the glycomics field and incorporate these approaches in the HIVE pipeline as they mature while we develop a standardized glycoinformatics pipeline that will benefit investigators and regulators at the FDA.&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[[Tool Resources]]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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&amp;amp;nbsp;&amp;amp;nbsp;&amp;amp;nbsp;&amp;amp;nbsp;&#039;&#039;&#039;&#039;&#039;Main article:&#039;&#039;&#039; [[Tool Resources]]&#039;&#039;&amp;lt;br&amp;gt;There are a variety of bioinformatic tool resources developed by our team.&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[[Dataset Resources]]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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&amp;amp;nbsp;&amp;amp;nbsp;&amp;amp;nbsp;&amp;amp;nbsp;&#039;&#039;&#039;&#039;&#039;Main article:&#039;&#039;&#039; [[Dataset Resources]]&#039;&#039;&amp;lt;br&amp;gt;There are a variety of bioinformatic dataset resources integrated by our team.&lt;br /&gt;
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		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Projects&amp;diff=972</id>
		<title>Projects</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Projects&amp;diff=972"/>
		<updated>2025-08-29T13:55:24Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
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        &amp;lt;div style=&amp;quot;font-size:160%; padding:.1em;&amp;quot;&amp;gt;Current Projects&amp;lt;/div&amp;gt;&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://hive.biochemistry.gwu.edu/dna.cgi?cmd=main The High-performance Integrated Virtual Environment (HIVE) platform]&amp;lt;/h3&amp;gt;&lt;br /&gt;
        &amp;lt;div style=&amp;quot;border-top: 1px solid #CCC; padding-top: 0.5em;&amp;quot;&amp;gt;&lt;br /&gt;
HIVE is a cloud-based environment optimized for the storage and analysis of extra-large data, such as biomedical data, clinical data, next-generation sequencing (NGS) data, mass spectrometry files, confocal microscopy images, post-market surveillance data, medical recall data, and many others. HIVE provides secure web access for authorized users to deposit, retrieve, annotate and compute on Big Data, and analyze the outcomes using web user interfaces. [https://docs.google.com/document/d/1F5iq00uKkJfdSsbwanvKOy-nPnwijH56mwbwa_HhzfY/edit?tab=t.0#heading=h.7dlfmngwfzih More here].&lt;br /&gt;
&lt;br /&gt;
The HIVE platform and associated algorithms such as CensuScope and HIVE-Hexagon is used to support Metgenomics analysis infrastructure.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
[[GW-HIVE WIKI]]&lt;br /&gt;
&lt;br /&gt;
METAGENOMICS WIKI&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://argosdb.org/ FDA-ARGOS Project (Food and Drug Administration-dAtabase for Regulatory-Grade micrObial Sequences)]&amp;lt;/h3&amp;gt;&lt;br /&gt;
        &amp;lt;div style=&amp;quot;border-top: 1px solid #CCC; padding-top: 0.5em;&amp;quot;&amp;gt;&lt;br /&gt;
The FDA-ARGOS Project (Food and Drug Administration-dAtabase for Regulatory-Grade micrObial Sequences) is a collaborative effort to create a high-quality genomic database for identifying and characterizing microbial pathogens. Developed in partnership with the FDA, University of Maryland, and NCBI, the project provides regulatory-grade genomic data, crucial for public health and diagnostic use. Expanded in 2021 with support from GWU, Temple University, and Embleema, FDA-ARGOS aims to enhance infectious disease research through rigorous quality control protocols. The ArgosDB hosts this data, offering downloadable sequences and reproducible workflows for research and regulatory applications.[https://www.fda.gov/medical-devices/science-and-research-medical-devices/database-reference-grade-microbial-sequences-fda-argos More here].&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
[[FDA-ARGOS WIKI]]&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://www.biocomputeobject.org/ BioCompute Objects (BCO)]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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The BioCompute is FDA funded project to establish a framework for community-based development of standards for harmonization of High-throughput Sequencing (HTS), standardization of data formats, promotion of interoperability, and bioinformatics verification protocols. The BioCompute Object (BCO) was developed in the High-throughput Sequencing Computational Standards for Regulatory Sciences (HTS-CSRS) initiative in the BioCompute Objects Portal (BOP), a web portal to serve as a collaborative ground to encourage a dialogue to facilitate interoperability between different bioinformatic pipelines, industries, and developers. HIVE capabilities have been leveraged to support the development of the BCO. The BCO is versatile and adaptable to other common HTS analysis platforms. [https://docs.google.com/document/d/1WQFZm_PFiQXob4NyOKq6y-2ywnbmNoFHSS27fYf3l4Y/edit?tab=t.0#heading=h.bs8eki17tykx More here].&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
[https://wiki.biocomputeobject.org/Main_Page BIOCOMPUTE OBJECTS WIKI]&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://www.glygen.org/ GlyGen]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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GlyGen (gly-glycobiology; gen-information), [https://www.glygen.org/&amp;lt;nowiki&amp;gt;] is an advanced glycoinformatics resource developed to facilitate discovery in basic and translational glycobiology research along with enhancing the integration of multidisciplinary information from diverse resources. GlyGen includes knowledge about molecular, biophysical and functional properties of glycans, genes, and proteins organized in pathways and ontologies, plus a rapidly growing body of biological big data related to cancer mutation and expression. GlyGen adopts an innovative user-driven approach for implementing, prioritizing and knowledge disseminating tools to address the questions and needs of glycobiology community. GlyGen is funded by the National Institute of General Medical Sciences under the grant # 1R24GM146616 - 01 and the  National Institutes of Health Office of Strategic Coordination - The Common Fund under the grant # 1OT2OD032092. More information about GlyGen - &amp;lt;/nowiki&amp;gt;https://www.glygen.org/about/ &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
[https://wiki.glygen.org/Main_Page GlyGen WIKI]&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://hivelab.biochemistry.gwu.edu/predictmod PredictMod]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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PredictMod is an application designed to predict the outcome of an intervention prior to a patient initiating treatment. Our goal is to provide clinicians with a powerful decision making tool that enhances clinical understanding of patient-level data. The PredictMod platform utilizes machine learning tools and complex datasets based on electronic health records, gut microbiome, and -omics data to forecast patient outcomes, often in response to treatment for a particular condition. While our primary condition of interest is Prediabetes, the tool is designed to be used for a variety of conditions, interventions, and data types.  &amp;lt;br&amp;gt; &amp;lt;br&amp;gt;&lt;br /&gt;
[https://hivelab.biochemistry.gwu.edu/wiki/PredictMod PredictMod WIKI]&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[[GW-FEAST]]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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The GW Federated Ecosystems for Analytics and Standardized Technologies (GW-FEAST) project is part of the ARPA-H FEAST performer team initiative that includes academic and industry partners. The goal of the ARPA-H performer teams is “to create bridges across data silos to make health data more accessible and usable”. &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
[https://hivelab.biochemistry.gwu.edu/wiki/GW-FEAST GW-FEAST WIKI]&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://hivelab.biochemistry.gwu.edu/biomarker-partnership Biomarker Knowledgebase]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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The Biomarker Partnership is a CFDE sponsored project to develop a knowledgebase that will organize and integrate biomarker data from different public sources. The data will be connected to contextual information to show a novel systems-level view of biomarkers. The motivation for this project is to improve the harmonization and organization of biomarker data. This will be done by mapping biomarkers from public sources to, and across, CF data elements. This mapping will bridge knowledge across multiple DCCs and biomedical disciplines.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
[https://wiki.biomarkerkb.org/Main_Page BioMarkerKB WIKI]&lt;br /&gt;
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        &amp;lt;div style=&amp;quot;font-size:160%; padding:.1em;&amp;quot;&amp;gt;Past Projects&amp;lt;/div&amp;gt;&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://hivelab.tst.biochemistry.gwu.edu/gfkb Gut Microbiome Analytic System (Microbiome)]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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The HIVE team received NSF funding to develop a Gut Microbiome Monitoring System (GutFeeling) as a tool which when used over time will allow users to rectify their dietary (such as consumption of probiotics and prebiotics) and other lifestyle habits and to help restore their normal microbiome. Rapid analysis of the large amount of metagenomic data, a major bottleneck, has been resolved by our group through the development of a novel algorithm and accompanying software called CensuScope. Through analysis of healthy gut microbiome data, we are actively developing a Knowledge Base (GutFeelingKB) to provide a clearer picture of not only an ideal personalized microbiome but also establish baseline characteristics for each customer. The Mazumder Lab is collaborating with the Milken School of Public Health and Kamtek Sequencing Facility to investigate the relationship between bacterial species commonly present in the digestive tract, diet, physical activity, lifestyle habits, and metabolic risk factors. [https://docs.google.com/document/d/18WyVTJrrf-FR0sHt634vO8Lwel-4OQxP9sNar7gYYro/edit?tab=t.0#heading=h.7qbm3f7lky31 More here].&lt;br /&gt;
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        &amp;lt;h3&amp;gt;HIVE-EQAPOL Project on HIVE NGS Data Processing and Analysis&amp;lt;/h3&amp;gt;&lt;br /&gt;
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For this project, our group works closely with the External Quality Assurance Program Oversight Laboratory (EQAPOL) team to conduct HIV NGS data analysis and collaborate in terms of analyzing, storing, and tracking HIV NGS Data. Reliable identification of strains is critical for developing new assays, validating assay platforms, assisting regulators to evaluate test kits, monitoring HIV drug resistance, and informing vaccine development. The HIVE tools and platform are used for virus identification, recombination analysis, and clone discovery.&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://www.oncomx.org/ OncoMX]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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The OncoMX mission is to create an integrated cancer mutation and expression resource for exploring cancer biomarkers. OncoMX is a collaboration between the George Washington University (GW), NASA&#039;s Jet Propulsion Laboratory (JPL), the Swiss Institute of Bioinformatics (SIB), and the University of Delaware (UD). The core knowledgebase of OncoMX is derived from BioMuta and BioXpress integrated cancer mutation and expression databases which are actively maintained. Normal expression data from Bgee and custom text mining software augment the cancer data to improve functional interpretation of the reported variants and expression profiles. All data are wrapped into the OncoMX database and web portal, mapped to additional functional information from NCI Early Detection Research Network (EDRN) and Reactome. It is expected that the large-scale integration of cancer data and supporting information, provided by OncoMX with direct community feedback, will benefit cancer research by improving synthesis of information and may make earlier detection a reality.&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[https://hive.biochemistry.gwu.edu/dna.cgi?cmd=main Glycoproteomics Characterization Workflow and Data-Analysis Pipeline for Vaccines and Biosimilars]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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In this FDA funded project we are extending High-performance Integrated Virtual Environment (HIVE) capabilities through the development and integration of software tools and datasets for comparative analysis of glycoproteins. Glycomic analysis has many angles and has been extensively reviewed in recent literature. We propose to rely on the independent development of the glycomics field and incorporate these approaches in the HIVE pipeline as they mature while we develop a standardized glycoinformatics pipeline that will benefit investigators and regulators at the FDA.&lt;br /&gt;
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        &amp;lt;div style=&amp;quot;font-size:160%; padding:.1em;&amp;quot;&amp;gt;RESOURCES&amp;lt;/div&amp;gt;&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[[Tool Resources]]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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&amp;amp;nbsp;&amp;amp;nbsp;&amp;amp;nbsp;&amp;amp;nbsp;&#039;&#039;&#039;&#039;&#039;Main article:&#039;&#039;&#039; [[Tool Resources]]&#039;&#039;&amp;lt;br&amp;gt;There are a variety of bioinformatic tool resources developed by our team.&lt;br /&gt;
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        &amp;lt;h3&amp;gt;[[Dataset Resources]]&amp;lt;/h3&amp;gt;&lt;br /&gt;
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&amp;amp;nbsp;&amp;amp;nbsp;&amp;amp;nbsp;&amp;amp;nbsp;&#039;&#039;&#039;&#039;&#039;Main article:&#039;&#039;&#039; [[Dataset Resources]]&#039;&#039;&amp;lt;br&amp;gt;There are a variety of bioinformatic dataset resources integrated by our team.&lt;br /&gt;
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		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=932</id>
		<title>Volunteership Fall 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=932"/>
		<updated>2025-08-15T16:51:56Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Dates */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2025 Volunteer Program Details ==&lt;br /&gt;
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=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Application Deadline&#039;&#039;&#039;&lt;br /&gt;
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August 22, 2025, Noon (email your updated resume and projects in order of preference). Acceptance letter/email will be sent to candidates latest the day after the kick-off meeting.&lt;br /&gt;
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&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
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August 25, 2025 | 4:00 to 5:00 PM&lt;br /&gt;
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&#039;&#039;&#039;Program Dates: September 1st, 2025 – November 30th, 2025&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
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Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
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[https://hivelab.biochemistry.gwu.edu/wiki/Volunteership_2025 Summer 2025 Volunteership] (Closed)&lt;br /&gt;
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=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Regular Zoom meetings with the assigned project point of contact.&lt;br /&gt;
# Attend some lectures or seminars remotely (max 4-5).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
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=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
# Continue working on LLM methods started by volunteers over the summer.&lt;br /&gt;
## The data is available as well as some preliminary research and work done by previous volunteers in this area.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger, Urnisha Bhuiyan, Kate Warner&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Tianyi Wang, Pat McNeely (optional)&lt;br /&gt;
&lt;br /&gt;
Identifying relevant and useful publicly-available datasets for machine learning is currently a resource-intensive task. This curation project aims to develop a corpus for training an AI model to recommend PMIDs with publicly-available datasets useful for intervention outcome prediction models. The corpus will include an annotation spreadsheet + annotated PDFs for PubMed articles relevant to prostate, lung, breast, and liver cancer, and focus on indicators such as condition, intervention, and response.&lt;br /&gt;
&lt;br /&gt;
PMID curation involves:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail.&lt;br /&gt;
## Additional Work: Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|Diya Kamalabharathy&lt;br /&gt;
|&lt;br /&gt;
|PredictMod; Glyco web development&lt;br /&gt;
|-&lt;br /&gt;
|Anika Sikka&lt;br /&gt;
|&lt;br /&gt;
|GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|Akale Kinfe&lt;br /&gt;
|&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Nahom Abel&lt;br /&gt;
|&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Harivinay P. Gujjula&lt;br /&gt;
|&lt;br /&gt;
|GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|Sparsh Gupta&lt;br /&gt;
|&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=931</id>
		<title>Volunteership Fall 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=931"/>
		<updated>2025-08-15T16:48:01Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* 2025 Volunteer Program Details */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2025 Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Application Deadline&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 22, 2025, Noon (email your updated resume and projects in order of preference). Acceptance letters will be sent to candidates after the kick-off meeting.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 25, 2025 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: September 1st, 2025 – November 30th, 2025&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[https://hivelab.biochemistry.gwu.edu/wiki/Volunteership_2025 Summer 2025 Volunteership] (Closed)&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Regular Zoom meetings with the assigned project point of contact.&lt;br /&gt;
# Attend some lectures or seminars remotely (max 4-5).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
# Continue working on LLM methods started by volunteers over the summer.&lt;br /&gt;
## The data is available as well as some preliminary research and work done by previous volunteers in this area.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger, Urnisha Bhuiyan, Kate Warner&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Tianyi Wang, Pat McNeely (optional)&lt;br /&gt;
&lt;br /&gt;
Identifying relevant and useful publicly-available datasets for machine learning is currently a resource-intensive task. This curation project aims to develop a corpus for training an AI model to recommend PMIDs with publicly-available datasets useful for intervention outcome prediction models. The corpus will include an annotation spreadsheet + annotated PDFs for PubMed articles relevant to prostate, lung, breast, and liver cancer, and focus on indicators such as condition, intervention, and response.&lt;br /&gt;
&lt;br /&gt;
PMID curation involves:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail.&lt;br /&gt;
## Additional Work: Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|Diya Kamalabharathy&lt;br /&gt;
|&lt;br /&gt;
|PredictMod; Glyco web development&lt;br /&gt;
|-&lt;br /&gt;
|Anika Sikka&lt;br /&gt;
|&lt;br /&gt;
|GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|Akale Kinfe&lt;br /&gt;
|&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Nahom Abel&lt;br /&gt;
|&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Harivinay P. Gujjula&lt;br /&gt;
|&lt;br /&gt;
|GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|Sparsh Gupta&lt;br /&gt;
|&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=927</id>
		<title>Volunteership Fall 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=927"/>
		<updated>2025-08-14T17:03:16Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Dates */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2025 Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Application Deadline&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 22, 2025, Noon (email your updated resume and projects in order of preference)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 25, 2025 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: September 1st, 2025 – November 30th, 2025&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[https://hivelab.biochemistry.gwu.edu/wiki/Volunteership_2025 Summer 2025 Volunteership] (Closed)&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Regular Zoom meetings with the assigned project point of contact.&lt;br /&gt;
# Attending remotely some lectures or seminars (max 4-5).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger, Urnisha Bhuiyan, Kate Warner&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Tianyi Wang, Pat McNeely (optional)&lt;br /&gt;
&lt;br /&gt;
Identifying relevant and useful publicly-available datasets for machine learning is currently a resource-intensive task. This curation project aims to develop a corpus for training an AI model to recommend PMIDs with publicly-available datasets useful for intervention outcome prediction models. The corpus will include an annotation spreadsheet + annotated PDFs for PubMed articles relevant to prostate, lung, breast, and liver cancer, and focus on indicators such as condition, intervention, and response.&lt;br /&gt;
&lt;br /&gt;
PMID curation involves:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail.&lt;br /&gt;
## Additional Work: Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|Diya Kamalabharathy&lt;br /&gt;
|&lt;br /&gt;
|PredictMod; Glyco web development&lt;br /&gt;
|-&lt;br /&gt;
|Anika Sikka&lt;br /&gt;
|&lt;br /&gt;
|GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|Akale Kinfe&lt;br /&gt;
|&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Nahom Abel&lt;br /&gt;
|&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Harivinay P. Gujjula&lt;br /&gt;
|&lt;br /&gt;
|GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Opportunities&amp;diff=925</id>
		<title>Opportunities</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Opportunities&amp;diff=925"/>
		<updated>2025-08-14T14:56:04Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;List of Open Positions&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;We have several open positions. View the requirements, relevant projects, and how to [https://docs.google.com/document/d/1nwHVHqCMblQRNodHCsXMzKkvzo_LM7sHyAWYTkRUtFY/edit?tab=t.0#heading=h.oto5l8zzalb apply here].&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;Research Opportunities Here at GW&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;We usually have full-time and part-time positions open. Part-time positions are usually 20 hours/week. Individuals with bioinformatics, biocuration, and/or programming backgrounds are encouraged to contact mazumder_lab AT gwu.edu for details regarding part-time positions.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;Volunteer Positions&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Students interested in helping with biocuration and the testing of software and databases can apply. Primary responsibilities will be focused on routine biocuration and testing, but may be expanded to include a role in research projects depending on skill and interest level. Candidates do not necessarily need to have advanced knowledge of genomics or coding (previous experience is a plus), but should have a strong interest in bioinformatics and be dedicated to the role as a member of the team. May work remotely if necessary, but will be expected to join routine meetings virtually. All internships are a minimum of eight weeks. Interested candidates should email their resume to [mailto:mazumder_lab@gwu.edu HIVE Lab].&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;Research Staff Positions&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;h3&amp;gt;Research Assistant / Research Associate (Closed)&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;The research assistant or associate should have knowledge of at least one of the following: glycobiology, biochemistry, genomics, proteomics, data science, and other informatics. This individual will be responsible for the maintenance and update of knowledgebase datasets and coordinating weekly, bi-weekly, monthly, and annual project meetings with collaborators and stakeholders. This individual will also be responsible for creating project reports, presentation slides, and posters along with maintaining the project’s Agile boards for our group. This position also requires an understanding of bioinformatics, and hands-on experience with bioinformatics tools and resources is a plus, as well as familiarity with data science technologies. For more information, please send a CV and cover letter to [mailto:mazumder_lab@gwu.edu HIVE Lab].&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;Post-Doctoral Research Positions&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;h3&amp;gt;Post-Doctoral Scientist - Glycobiology (Closed)&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;The Post-Doctoral Scientist will work on an NIH-funded project. This individual will have extensive knowledge of data standardization, carbohydrate chemistry, biochemistry, proteomics, and existing glycobiology and protein-related resources. They will be responsible for the maintenance and update of datasets and attending and sometimes planning weekly, bi-weekly, monthly, and annual project meetings with collaborators and stakeholders. The Post-Doctoral Scientist will also be responsible for creating project reports, presentation slides, and posters along with drafting publications with key collaborators.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Minimum Qualifications:&amp;lt;/strong&amp;gt; Applicant must have a terminal degree (PhD, MD/PhD, or equivalent) at the time of appointment and demonstrable experience in glycobiology.&amp;lt;br&amp;gt;&lt;br /&gt;
For more information please visit https://www.gwu.jobs/postings/51870.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Post-Doctoral Scientist - Computer Science&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;The Post-Doctoral Scientist will work on government/commercial funded project involved in the development of glycoinformatics and cancer knowledge bases. This individual will have extensive knowledge of Python, MySQL, SPARQL, JavaScript, and RESTful APIs. They will be responsible for processing data using various pipelines that feed our HIVE Lab knowledgebase resources, and attending and sometimes planning weekly, bi-weekly, monthly, and annual project meetings with collaborators and stakeholders. The Post-Doctoral Scientist will also be responsible for creating project reports, presentation slides, and posters along with drafting publications with other key collaborators.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;strong&amp;gt;Minimum Qualifications:&amp;lt;/strong&amp;gt; Applicant must have a terminal degree (PhD, MD/PhD, or equivalent) at the time of appointment and demonstrable experience in Computer Science.&amp;lt;br&amp;gt;&lt;br /&gt;
For more information please send a CV and cover letter to [mailto:mazumder_lab@gwu.edu HIVE Lab]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;Research Faculty Positions&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;h3&amp;gt;Research Assistant Professor/Scientific Coordinator&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;The Department of Biochemistry and Molecular Medicine at The George Washington University’s School of Medicine and Health Sciences is seeking applications for a full-time (12-month) faculty position to be filled at the rank of Assistant Professor (non-tenure). Salary will be commensurate with experience. The successful candidate will have an active role in the development of knowledgebases, coordinate data integration activities, develop detailed milestones, and lead other project members. They will be expected to regularly reach out to the scientific community (domestic and international) to develop new collaborations and pursue existing ones, while also attending and planning weekly, bi-weekly, monthly, and annual project meetings with collaborators and stakeholders. Conducting bioinformatics experiments on integrated data to showcase utility of integration will be part of developing and writing project reports, presentation slides, posters, manuscripts, and detailed read-me files. The development of new projects related to or complementary to the HIVE Lab interests is also a possibility.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;strong&amp;gt;Minimum Qualifications:&amp;lt;/strong&amp;gt; Applicant must have a terminal degree (PhD, MD/PhD, or equivalent) at the time of appointment and demonstrable experience in glycobiology and proven leadership capability.&amp;lt;br&amp;gt;&lt;br /&gt;
For more information please send a CV and cover letter to [mailto:mazumder_lab@gwu.edu HIVE Lab].&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;Visit the Department of Biochemistry&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;[https://biochemistry.smhs.gwu.edu/ Visit the Department of Biochemistry and Molecular Medicine]&amp;lt;/p&amp;gt;&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=923</id>
		<title>Volunteership Fall 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=923"/>
		<updated>2025-08-13T21:07:42Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* 2. GlyGen Biocuration Project Ideas */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2025 Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 25, 2025 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: September 1st, 2025 – November 30th, 2025&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[https://hivelab.biochemistry.gwu.edu/wiki/Volunteership_2025 Summer 2025 Voulenteership] (Closed)&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Regular Zoom meetings with the assigned project point of contact.&lt;br /&gt;
# Attending remotely some lectures or seminars (max 4-5).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger, Urnisha Bhuiyan, Kate Warner&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Tianyi Wang, Pat McNeely (optional)&lt;br /&gt;
&lt;br /&gt;
Identifying relevant and useful publicly-available datasets for machine learning is currently a resource-intensive task. This curation project aims to develop a corpus for training an AI model to recommend PMIDs with publicly-available datasets useful for intervention outcome prediction models. The corpus will include an annotation spreadsheet + annotated PDFs for PubMed articles relevant to prostate, lung, breast, and liver cancer, and focus on indicators such as condition, intervention, and response.&lt;br /&gt;
&lt;br /&gt;
PMID curation involves:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail.&lt;br /&gt;
## Additional Work: Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|Diya Kamalabharathy&lt;br /&gt;
|&lt;br /&gt;
|PredictoMod; Glyco web development&lt;br /&gt;
|-&lt;br /&gt;
|Anika Sikka&lt;br /&gt;
|&lt;br /&gt;
|GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|Akale Kinfe&lt;br /&gt;
|&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Nahom Abel&lt;br /&gt;
|&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=922</id>
		<title>Volunteership Fall 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=922"/>
		<updated>2025-08-13T21:05:48Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Dates */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2025 Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 25, 2025 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: September 1st, 2025 – November 30th, 2025&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
&lt;br /&gt;
[https://hivelab.biochemistry.gwu.edu/wiki/Volunteership_2025 Summer 2025 Voulenteership] (Closed)&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Regular Zoom meetings with the assigned project point of contact.&lt;br /&gt;
# Attending remotely some lectures or seminars (max 4-5).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeely&lt;br /&gt;
&lt;br /&gt;
Identifying relevant and useful publicly-available datasets for machine learning is currently a resource-intensive task. This curation project aims to develop a corpus for training an AI model to recommend PMIDs with publicly-available datasets useful for intervention outcome prediction models. The corpus will include an annotation spreadsheet + annotated PDFs for PubMed articles relevant to prostate, lung, breast, and liver cancer, and focus on indicators such as condition, intervention, and response.&lt;br /&gt;
&lt;br /&gt;
PMID curation involves:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail.&lt;br /&gt;
## Additional Work: Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|Diya Kamalabharathy&lt;br /&gt;
|&lt;br /&gt;
|PredictoMod; Glyco web development&lt;br /&gt;
|-&lt;br /&gt;
|Anika Sikka&lt;br /&gt;
|&lt;br /&gt;
|GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|Akale Kinfe&lt;br /&gt;
|&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Nahom Abel&lt;br /&gt;
|&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=921</id>
		<title>Volunteership Fall 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=921"/>
		<updated>2025-08-13T21:03:15Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Volunteers (TBD) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2025 Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 25, 2025 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: September 1st, 2025 – November 30th, 2025&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Regular Zoom meetings with the assigned project point of contact.&lt;br /&gt;
# Attending remotely some lectures or seminars (max 4-5).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeely&lt;br /&gt;
&lt;br /&gt;
Identifying relevant and useful publicly-available datasets for machine learning is currently a resource-intensive task. This curation project aims to develop a corpus for training an AI model to recommend PMIDs with publicly-available datasets useful for intervention outcome prediction models. The corpus will include an annotation spreadsheet + annotated PDFs for PubMed articles relevant to prostate, lung, breast, and liver cancer, and focus on indicators such as condition, intervention, and response.&lt;br /&gt;
&lt;br /&gt;
PMID curation involves:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail.&lt;br /&gt;
## Additional Work: Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project Assigned&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|Diya Kamalabharathy&lt;br /&gt;
|&lt;br /&gt;
|PredictoMod; Glyco web development&lt;br /&gt;
|-&lt;br /&gt;
|Anika Sikka&lt;br /&gt;
|&lt;br /&gt;
|GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|Akale Kinfe&lt;br /&gt;
|&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Nahom Abel&lt;br /&gt;
|&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=920</id>
		<title>Volunteership Fall 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=920"/>
		<updated>2025-08-13T21:02:43Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Volunteers (TBD) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2025 Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 25, 2025 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: September 1st, 2025 – November 30th, 2025&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Regular Zoom meetings with the assigned project point of contact.&lt;br /&gt;
# Attending remotely some lectures or seminars (max 4-5).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeely&lt;br /&gt;
&lt;br /&gt;
Identifying relevant and useful publicly-available datasets for machine learning is currently a resource-intensive task. This curation project aims to develop a corpus for training an AI model to recommend PMIDs with publicly-available datasets useful for intervention outcome prediction models. The corpus will include an annotation spreadsheet + annotated PDFs for PubMed articles relevant to prostate, lung, breast, and liver cancer, and focus on indicators such as condition, intervention, and response.&lt;br /&gt;
&lt;br /&gt;
PMID curation involves:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail.&lt;br /&gt;
## Additional Work: Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|Diya Kamalabharathy&lt;br /&gt;
|&lt;br /&gt;
|PredictoMod; Glyco web development&lt;br /&gt;
|-&lt;br /&gt;
|Anika Sikka&lt;br /&gt;
|&lt;br /&gt;
|GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|Akale Kinfe&lt;br /&gt;
|&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|Nahom Abel&lt;br /&gt;
|&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=919</id>
		<title>Volunteership Fall 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=919"/>
		<updated>2025-08-11T14:00:35Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2025 Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 25, 2025 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: September 1st, 2025 – November 30th, 2025&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students (Ross Hall 5th floor)&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Regular Zoom meetings with the assigned project point of contact.&lt;br /&gt;
# Attending remotely some lectures or seminars (max 4-5).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeely&lt;br /&gt;
&lt;br /&gt;
Identifying relevant and useful publicly-available datasets for machine learning is currently a resource-intensive task. This curation project aims to develop a corpus for training an AI model to recommend PMIDs with publicly-available datasets useful for intervention outcome prediction models. The corpus will include an annotation spreadsheet + annotated PDFs for PubMed articles relevant to prostate, lung, breast, and liver cancer, and focus on indicators such as condition, intervention, and response.&lt;br /&gt;
&lt;br /&gt;
PMID curation involves:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail.&lt;br /&gt;
## Additional Work: Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;Anika Sikka (tentative)&#039;&#039;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
#GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;Akale Kinfe&#039;&#039;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;Nahom Abel&#039;&#039;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=918</id>
		<title>Volunteership Fall 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=918"/>
		<updated>2025-08-11T14:00:03Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2025 Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 25, 2025 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: September 1st, 2025 – November 30th, 2025&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote | Hybrid for GW employees and students&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Regular Zoom meetings with the assigned project point of contact.&lt;br /&gt;
# Attending remotely some lectures or seminars (max 4-5).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeely&lt;br /&gt;
&lt;br /&gt;
Identifying relevant and useful publicly-available datasets for machine learning is currently a resource-intensive task. This curation project aims to develop a corpus for training an AI model to recommend PMIDs with publicly-available datasets useful for intervention outcome prediction models. The corpus will include an annotation spreadsheet + annotated PDFs for PubMed articles relevant to prostate, lung, breast, and liver cancer, and focus on indicators such as condition, intervention, and response.&lt;br /&gt;
&lt;br /&gt;
PMID curation involves:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail.&lt;br /&gt;
## Additional Work: Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;Anika Sikka (tentative)&#039;&#039;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
#GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;Akale Kinfe&#039;&#039;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;Nahom Abel&#039;&#039;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Bioinformatics_Resources&amp;diff=915</id>
		<title>Bioinformatics Resources</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Bioinformatics_Resources&amp;diff=915"/>
		<updated>2025-08-06T17:22:45Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: Created page with &amp;quot;Bioinformatics and Biochemistry MS and PhD Student Resources  = Contacts = MS Program Director, Anelia Horvath - horvatha@gwu.edu  Bioinformatics Program Co-Director, Raja Mazumder -  mazumder_lab@gwu.edu  = Recommendations: =  * Consider purchasing Bioinformatics Data Skills (&amp;lt;nowiki&amp;gt;https://vincebuffalo.com/book/&amp;lt;/nowiki&amp;gt;) and go over Part I and Part II before the first day of class. For those interested, GW&amp;#039;s digital library has a copy of Bioinformatics Data Skills:...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Bioinformatics and Biochemistry MS and PhD Student Resources&lt;br /&gt;
&lt;br /&gt;
= Contacts =&lt;br /&gt;
MS Program Director, Anelia Horvath - horvatha@gwu.edu&lt;br /&gt;
&lt;br /&gt;
Bioinformatics Program Co-Director, Raja Mazumder -  mazumder_lab@gwu.edu&lt;br /&gt;
&lt;br /&gt;
= Recommendations: =&lt;br /&gt;
&lt;br /&gt;
* Consider purchasing Bioinformatics Data Skills (&amp;lt;nowiki&amp;gt;https://vincebuffalo.com/book/&amp;lt;/nowiki&amp;gt;) and go over Part I and Part II before the first day of class. For those interested, GW&#039;s digital library has a copy of Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools available. Use the following link and sign in with GW credentials to access the ebook. &amp;lt;nowiki&amp;gt;https://ebookcentral.proquest.com/lib/gwu/reader.action?docID=3564550&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
* Harper&#039;s Illustrated Biochemistry: Please read Sections I, II, VII and Chapters 46, 56, 57, 58. GW students have free access at - &amp;lt;nowiki&amp;gt;https://accessmedicine.mhmedical.com/content.aspx?bookid=3220&amp;amp;sectionid=268299968&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
= Important Links &amp;amp; Information =&lt;br /&gt;
All BMM students are strongly encouraged to join Linkedin group: &amp;lt;nowiki&amp;gt;https://www.linkedin.com/groups/8313079/&amp;lt;/nowiki&amp;gt; &lt;br /&gt;
&lt;br /&gt;
To join make sure your profile says MS in Bioinformatics and Molecular Biochemistry at GW.&lt;br /&gt;
&lt;br /&gt;
= Overview =&lt;br /&gt;
Please see the tutorials section below to brush up on skills, programming languages, and analysis tools. &lt;br /&gt;
&lt;br /&gt;
= Useful tutorials =&lt;br /&gt;
Use the resources below to learn data analysis and visualization skills.&lt;br /&gt;
&lt;br /&gt;
== GW Workshops/Support ==&lt;br /&gt;
&lt;br /&gt;
* Take GW Library sponsored Python, R, JavaScript, Tableau, OpenRefine Workshops. This is really important for all bioinformatics students (especially python, R, JavaScript). &lt;br /&gt;
* Free one-on-one Coding Consultations to anyone at GW who would like to meet with to discuss a particular coding topic or problem, including JavaScript:   &amp;lt;nowiki&amp;gt;https://calendly.com/gwul-coding/&amp;lt;/nowiki&amp;gt; &lt;br /&gt;
* Students wanting to learn about coding are also invited to join the GW Coders group (&amp;lt;nowiki&amp;gt;https://gwcoders.github.io/&amp;lt;/nowiki&amp;gt;) this fall.&lt;br /&gt;
&lt;br /&gt;
CFDE Bioinformatics workshops&lt;br /&gt;
&lt;br /&gt;
* CFDE provides training for various bioinformatics tools and analysis including basic unix and linux commands. Students are encouraged to join these workshops throughout the year: &amp;lt;nowiki&amp;gt;https://training.nih-cfde.org/en/latest/&amp;lt;/nowiki&amp;gt; &lt;br /&gt;
&lt;br /&gt;
== Learning programming languages ==&lt;br /&gt;
&lt;br /&gt;
* Take online python, R, JavaScript (key skills to have as a bioinformatician) courses at CodeAcademy (&amp;lt;nowiki&amp;gt;https://www.codecademy.com&amp;lt;/nowiki&amp;gt;), freeCodeCamp (&amp;lt;nowiki&amp;gt;https://www.freecodecamp.org/&amp;lt;/nowiki&amp;gt;) or JavaScript for Data Science (&amp;lt;nowiki&amp;gt;https://js4ds.org/&amp;lt;/nowiki&amp;gt;)&lt;br /&gt;
&lt;br /&gt;
Additional resources&lt;br /&gt;
&lt;br /&gt;
* Python courses for beginners (free): &lt;br /&gt;
** &amp;lt;nowiki&amp;gt;https://www.youtube.com/watch?v=rfscVS0vtbw&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
** &amp;lt;nowiki&amp;gt;https://www.youtube.com/watch?v=_uQrJ0TkZlc&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
** &amp;lt;nowiki&amp;gt;https://www.udacity.com/course/introduction-to-python--ud1110&amp;lt;/nowiki&amp;gt; &lt;br /&gt;
** &amp;lt;nowiki&amp;gt;https://www.learnpython.org/&amp;lt;/nowiki&amp;gt; (&amp;lt;nowiki&amp;gt;https://www.datacamp.com/courses/intro-to-python-for-data-science?utm_source=learnpython_com&amp;amp;utm_campaign=learnpython_tutorials&amp;lt;/nowiki&amp;gt;)&lt;br /&gt;
** &amp;lt;nowiki&amp;gt;https://www.codecademy.com/catalog/language/python&amp;lt;/nowiki&amp;gt; (&amp;lt;nowiki&amp;gt;https://www.codecademy.com/learn/learn-python-3&amp;lt;/nowiki&amp;gt;)&lt;br /&gt;
* Python courses for (beginner/intermediate) (free/paid): &lt;br /&gt;
** &amp;lt;nowiki&amp;gt;https://www.codecademy.com/catalog/language/python&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
** &amp;lt;nowiki&amp;gt;https://www.udemy.com/course/complete-python-bootcamp/&amp;lt;/nowiki&amp;gt; (comprehensive course) &lt;br /&gt;
** &amp;lt;nowiki&amp;gt;https://www.edx.org/professional-certificate/introduction-to-python-programming?index=product&amp;amp;queryID=6c3afa69576b337f9baf146031185fe1&amp;amp;position=3&amp;lt;/nowiki&amp;gt; &lt;br /&gt;
* UCR R tutorial&lt;br /&gt;
* Computational Genomics in R - Computational Genomics with R (compgenomr.github.io)&lt;br /&gt;
* Bioinformatics and computational biology&lt;br /&gt;
** Harvard&#039;s STAT115 class by X. Shirley Liu is a great grad-level class for bioinformatics&lt;br /&gt;
** &amp;lt;nowiki&amp;gt;https://www.mathworks.com/matlabcentral/discussions/distance-learning/132907-teaching-learning-deep-learning-and-machine-learning-videos-and-content/?s_tid=mlc_lp_leaf&amp;lt;/nowiki&amp;gt; MATLAB is a course to take over the summer or winter break to learn how to use Artificial Intelligence, Machine Learning, and Neural Networks&lt;br /&gt;
&lt;br /&gt;
== Bioinformatics Projects ==&lt;br /&gt;
&amp;lt;nowiki&amp;gt;https://hivelab.biochemistry.gwu.edu/wiki/Volunteership_Fall_2025&amp;lt;/nowiki&amp;gt;   &lt;br /&gt;
&lt;br /&gt;
== Linux basics ==&lt;br /&gt;
&lt;br /&gt;
* Online course on Linux, Bash, Scripting and R: &amp;lt;nowiki&amp;gt;https://dmtrk.net/2SUU-14DIB-4F53EA044DAF46CB3X0082B0D42B4F1461C8BC/cr.aspx&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
* Linux for beginners: &amp;lt;nowiki&amp;gt;https://ubuntu.com/tutorials/command-line-for-beginners#1-overview&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
* Command Line Crash Course: &amp;lt;nowiki&amp;gt;https://www.youtube.com/playlist?list=PLCHnubFzFwjLDKwWQhH3BlGA9OasLKIFl%0AW&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
* Windows User - Set up Linux Virtual Machine: &amp;lt;nowiki&amp;gt;https://www.windowscentral.com/how-run-linux-distros-windows-10-using-hyper-v&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
* Linux Cheat Sheet: &amp;lt;nowiki&amp;gt;https://ryanstutorials.net/linuxtutorial/cheatsheet.php&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
* Shell scripting tutorial: &amp;lt;nowiki&amp;gt;https://youtu.be/GtovwKDemnI&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
= Open Opportunities =&lt;br /&gt;
Subscribe to linkedin group (&amp;lt;nowiki&amp;gt;https://www.linkedin.com/groups/8313079/&amp;lt;/nowiki&amp;gt;) to learn about open opportunities. To join make sure your profile says MS in Bioinformatics and Molecular Biochemistry at GW.&lt;br /&gt;
&lt;br /&gt;
= Past/Potential Mentors =&lt;br /&gt;
Mentors might have spots available and are looking for students: Please use links below to contact potential mentors: &lt;br /&gt;
&lt;br /&gt;
GW Mentors: &amp;lt;nowiki&amp;gt;https://apps.smhs.gwu.edu/smhs/facultydirectory/biochemistry/faculty.cfm&amp;lt;/nowiki&amp;gt; &lt;br /&gt;
&lt;br /&gt;
Rong Li - Breast cancer research&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder - GWU HIVE-Lab - Bioinformatics&lt;br /&gt;
&lt;br /&gt;
Brett Shook - Shook Lab - Immune Response&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath - MGPC - scRNA-seq&lt;br /&gt;
&lt;br /&gt;
Wei Li - Children’s Hospital - Genome engineering, single cell genomics&lt;br /&gt;
&lt;br /&gt;
Kazue Hashimoto-Torii - Children’s Hospital - Neurobiology&lt;br /&gt;
&lt;br /&gt;
Vittorio Gallo - Children’s Hospital - Children’s Hospital - Neuroscience Research&lt;br /&gt;
&lt;br /&gt;
Deepa Rastogi - Children’s Hospital - Obesity-related asthma&lt;br /&gt;
&lt;br /&gt;
Inhee Chung -  Anatomy and Regenerative Biology&lt;br /&gt;
&lt;br /&gt;
Kathryn King - US Food and Drug Administration  - Cancer Biology&lt;br /&gt;
&lt;br /&gt;
Sabyasachi Sen, Medical Faculty Associates, Diabetes and HIV &lt;br /&gt;
&lt;br /&gt;
Sydney Fu - GW Cancer Center, Cancer Biology&lt;br /&gt;
&lt;br /&gt;
Daoud Meerzaman - NIH NCI&lt;br /&gt;
&lt;br /&gt;
Vahan Simonyan - DNA-HIVE&lt;br /&gt;
&lt;br /&gt;
Ilya Mazo - Argentys&lt;br /&gt;
&lt;br /&gt;
Also see &amp;lt;nowiki&amp;gt;https://hivelab.biochemistry.gwu.edu/wiki/GW_Bioinformatics_Network&amp;lt;/nowiki&amp;gt;&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=914</id>
		<title>Volunteership Fall 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=914"/>
		<updated>2025-08-06T17:12:14Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Potential Projects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2025 Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 25, 2025 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: September 1st, 2025 – November 30th, 2025&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Regular Zoom meetings with the assigned project point of contact.&lt;br /&gt;
# Attending remotely some lectures or seminars (max 4-5)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeeley&lt;br /&gt;
&lt;br /&gt;
PMID Curation:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail.&lt;br /&gt;
## Additional Work: Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;Anika Sikka (tentative)&#039;&#039;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
#GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;Akale Kinfe&#039;&#039;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=913</id>
		<title>Volunteership Fall 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=913"/>
		<updated>2025-08-06T17:11:36Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Potential Projects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2025 Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 25, 2025 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: September 1st, 2025 – November 30th, 2025&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Regular Zoom meetings with the assigned project point of contact.&lt;br /&gt;
# Attending remotely some lectures or seminars (max 4-5)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email [[mazumder_lab@gwu.edu]] your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeeley&lt;br /&gt;
&lt;br /&gt;
PMID Curation:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail.&lt;br /&gt;
## Additional Work: Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;Anika Sikka (tentative)&#039;&#039;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
#GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;Akale Kinfe&#039;&#039;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=912</id>
		<title>Volunteership Fall 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=912"/>
		<updated>2025-08-06T17:10:56Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2025 Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 25, 2025 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: September 1st, 2025 – November 30th, 2025&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Regular Zoom meetings with the assigned project point of contact.&lt;br /&gt;
# Attending remotely some lectures or seminars (max 4-5)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
We are excited to continue our bioinformatics volunteership program in Fall 2025. This program offers students the opportunity to work on bioinformatics projects supported by agencies such as the NIH, ARPA-H, and FDA. Participants will gain exposure to a variety of activities within a bioinformatics lab, including data analysis, computational biology, and genomics. If you are interested, please email mazumder_lab@gwu.edu your resume and a ranked list of the projects that interest you most. You can also indicate if you want to focus on specific areas that are of interest to you.&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeeley&lt;br /&gt;
&lt;br /&gt;
PMID Curation:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail.&lt;br /&gt;
## Additional Work: Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;Anika Sikka (tentative)&#039;&#039;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
#GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;Akale Kinfe&#039;&#039;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=911</id>
		<title>Volunteership Fall 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=911"/>
		<updated>2025-08-06T17:07:02Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2025 Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 25, 2025 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: September 1st, 2025 – November 30th, 2025&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Regular Zoom meetings with the assigned project point of contact.&lt;br /&gt;
# Attending remotely some lectures or seminars (max 4-5)&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeeley&lt;br /&gt;
&lt;br /&gt;
PMID Curation:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail.&lt;br /&gt;
## Additional Work: Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found.&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
# QC Analysis using HIVE&lt;br /&gt;
## Analyze the curated pathogens using our QC ARGOS one-click pipeline.&lt;br /&gt;
## The results will be added to our ARGOS database.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;Anika Sikka (tentative)&#039;&#039;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
#GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;Akale Kinfe&#039;&#039;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=909</id>
		<title>Volunteership Fall 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=909"/>
		<updated>2025-08-01T15:08:38Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Volunteers (TBD) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2025 Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 25, 2025 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: September 1st, 2025 – November 30th, 2025&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Regular Zoom meetings with the assigned project point of contact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeeley&lt;br /&gt;
&lt;br /&gt;
PMID Curation:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail. ~1 week&#039;s worth of work&lt;br /&gt;
## Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found. ~4-10 weeks worth of work&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;Anika Sikka (tentative)&#039;&#039;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
#GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;Akale Kinfe&#039;&#039;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=908</id>
		<title>Volunteership Fall 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_Fall_2025&amp;diff=908"/>
		<updated>2025-08-01T13:55:43Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== 2025 Volunteer Program Details ==&lt;br /&gt;
&lt;br /&gt;
=== Dates ===&lt;br /&gt;
&#039;&#039;&#039;Volunteer Zoom Kick-Off Meeting&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
August 25, 2025 | 4:00 to 5:00 PM&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Program Dates: September 1st, 2025 – November 30th, 2025&#039;&#039;&#039; (13 weeks)&lt;br /&gt;
&lt;br /&gt;
Remote&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteer Expectations ===&lt;br /&gt;
&lt;br /&gt;
# Minimum commitment of 10 hours per week.&lt;br /&gt;
# Progress updates via Slack at least 3 days per week (scrum).&lt;br /&gt;
# Regular Zoom meetings with the assigned project point of contact.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;&#039;&#039;Important:&#039;&#039;&#039; If the scrum is not updated for 2 consecutive working days, the candidate will be automatically dropped from the program.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Potential Projects ===&lt;br /&gt;
&lt;br /&gt;
# BiomarkerKB (biomarkerkb.org) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&lt;br /&gt;
# GlyGen (glygen.org) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information.&lt;br /&gt;
# ARGOS (argosdb.org) project: Analyze genomics data using HIVE to identify reference genome assemblies.&lt;br /&gt;
# PredictMod (hivelab.biochemistry.gwu.edu/predictmod) project. Curating PMIDs for intervention outcome prediction dataset LLM recommendation training.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
==== 1. BiomarkerKB Biocuration Project Ideas ====&lt;br /&gt;
POC: Daniall Masood, Maria Kim&lt;br /&gt;
&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer, Pat McNeeley&lt;br /&gt;
&lt;br /&gt;
PMID Curation:&lt;br /&gt;
&lt;br /&gt;
# Identify potentially relevant PMIDs that may have publicly-available datasets for training intervention outcome prediction models.&lt;br /&gt;
# Curate indicators of useful ML publications that could be used to train an LLM to recommend relevant publications for cancer modeling.&lt;br /&gt;
# Review peer curations and resolve annotation conflicts.&lt;br /&gt;
&lt;br /&gt;
Interested individuals should reach out to lorikrammer@gwu.edu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside, Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail. ~1 week&#039;s worth of work&lt;br /&gt;
## Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found. ~4-10 weeks worth of work&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Requirements for Completion ===&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; The following are mandatory. Failure to complete any will result in an incomplete volunteer record.&lt;br /&gt;
&lt;br /&gt;
==== Documentation ====&lt;br /&gt;
All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&lt;br /&gt;
&lt;br /&gt;
==== Written Report ====&lt;br /&gt;
Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&lt;br /&gt;
&lt;br /&gt;
==== Presentation &amp;amp; Slide Submission ====&lt;br /&gt;
Present your work last week of the 13-week period.&lt;br /&gt;
&lt;br /&gt;
Slides must be submitted to the POCs.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
=== Volunteers (TBD) ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Project&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;Anika Sikka (tentative)&#039;&#039;&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
#GlyGen&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Symposium_2025&amp;diff=877</id>
		<title>Symposium 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Symposium_2025&amp;diff=877"/>
		<updated>2025-07-17T15:16:12Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The HIVE Lab summer symposium is scheduled for Thursday July 31, 2025. It is an exciting time for the lab volunteers and interns to present their findings on the projects they worked on for 8 weeks.&lt;br /&gt;
&lt;br /&gt;
[[File:DC.png|center|frame]]&lt;br /&gt;
&lt;br /&gt;
== &#039;&#039;&#039;Program and Information&#039;&#039;&#039; ==&lt;br /&gt;
&lt;br /&gt;
=== &#039;&#039;&#039;Symposium Venue&#039;&#039;&#039; ===&lt;br /&gt;
The HIVE lab symposium will held in person at The George Washington University, Washington DC with an option to join virtually.&lt;br /&gt;
&lt;br /&gt;
In Person - Ross 647, Ross Hall, School of Health and Medical Sciences, The George Washington University, Washington DC ([https://maps.app.goo.gl/PHQmZacA4hWDvTCh6 MAP])&lt;br /&gt;
&lt;br /&gt;
Virtual - Zoom&lt;br /&gt;
&lt;br /&gt;
== &#039;&#039;&#039;Agenda&#039;&#039;&#039; ==&lt;br /&gt;
All times in Eastern Standard Time&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|&#039;&#039;&#039;Time (ET)&#039;&#039;&#039;&lt;br /&gt;
|&#039;&#039;&#039;Project&#039;&#039;&#039;&lt;br /&gt;
|&#039;&#039;&#039;Title&#039;&#039;&#039;&lt;br /&gt;
|&#039;&#039;&#039;Presenter&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;&#039;10:00am&#039;&#039;&#039;&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |                                                                                            &#039;&#039;&#039;Welcome and Introduction&#039;&#039;&#039;&lt;br /&gt;
|&#039;&#039;&#039;Michael Tiemeyer (10 min)&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |                                                                                                                         &#039;&#039;Group 1 Moderator : Nathan Edwards&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|10:10am &lt;br /&gt;
|CFDE&lt;br /&gt;
|Integrating Biocuration and Data Standardization to Generate Machine Learning-Ready Glycan Datasets&lt;br /&gt;
|Ana Jaramillo and Yuxin Zou (20 min)&lt;br /&gt;
|-&lt;br /&gt;
|10:30am&lt;br /&gt;
|CFDE&lt;br /&gt;
|&lt;br /&gt;
|Campbell Ross (15 min)&lt;br /&gt;
|-&lt;br /&gt;
|10:45am&lt;br /&gt;
|CFDE&lt;br /&gt;
|A Graph-Based AI Workflow for Mining Glycan Biomarkers and Related Annotations from Publications&lt;br /&gt;
|Cyrus Chun Hong Au Yeung (15 min)&lt;br /&gt;
|-&lt;br /&gt;
|11:00am&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|&lt;br /&gt;
|(15 min)&lt;br /&gt;
|-&lt;br /&gt;
|11:15am&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|&lt;br /&gt;
|(15 min)&lt;br /&gt;
|-&lt;br /&gt;
|11:30am&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|&lt;br /&gt;
|(15 min)&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;&#039;11:45am&#039;&#039;&#039;&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |&#039;&#039;&#039;Open Q and A&#039;&#039;&#039;&lt;br /&gt;
|&#039;&#039;&#039;All (30 min)&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|12:30pm&lt;br /&gt;
| colspan=&amp;quot;3&amp;quot; |                                                                                                          &#039;&#039;&#039;LUNCH (90 mins)&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |                                                                                                                         &#039;&#039;Group 1 Moderator : Nathan Edwards&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|2:00pm&lt;br /&gt;
|Predictmod AI-READI&lt;br /&gt;
|Robust Classification of Glycemic Health States from Continuous Glucose &lt;br /&gt;
|Nikhil Arethiya (15 min)&lt;br /&gt;
|-&lt;br /&gt;
|2:15pm&lt;br /&gt;
|Predictmod Curation&lt;br /&gt;
|PredictMod: PubMed Curation for Training an LLM for Recommendation&lt;br /&gt;
|Grace Chong, Aaron Ressom, Diya Kamalabharathy (15 min)&lt;br /&gt;
|-&lt;br /&gt;
|2:30pm&lt;br /&gt;
|Argos&lt;br /&gt;
|&lt;br /&gt;
|(15 min)&lt;br /&gt;
|-&lt;br /&gt;
|2:45pm&lt;br /&gt;
|GlyGen&lt;br /&gt;
|GlyGen Biocuration Project&lt;br /&gt;
|Aise Arpinar, Haravinay P. Gujjulla, Nahom Abel (20 min)&lt;br /&gt;
|-&lt;br /&gt;
|3:05pm&lt;br /&gt;
|GlycoSiteMiner&lt;br /&gt;
|&lt;br /&gt;
|(15 min)&lt;br /&gt;
|-&lt;br /&gt;
|3:20pm&lt;br /&gt;
|Glycobiology Web Development&lt;br /&gt;
|A Resource Drill Down and Visualization for the Glyspace Alliance&lt;br /&gt;
|Diya Kamalabharathy (5 min)&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;&#039;3:25pm&#039;&#039;&#039;&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |&#039;&#039;&#039;Open Q and A&#039;&#039;&#039;&lt;br /&gt;
|&#039;&#039;&#039;All (20 min)&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|3:45pm&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |                                                                                       &#039;&#039;&#039;Closing Remarks&#039;&#039;&#039;&lt;br /&gt;
|&#039;&#039;&#039;Raja Mazumder&#039;&#039;&#039;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== &#039;&#039;&#039;Project Description&#039;&#039;&#039; ==&lt;br /&gt;
&lt;br /&gt;
=== GlyGen Project ===&lt;br /&gt;
The GlyGen Biocuration project focuses on integrating legacy, yet valuable, data from the CarbBank and CFG databases into the GlyGen infrastructure. A key challenge is mapping metadata, such as species names and publication references, to standardized dictionaries and ontologies. While most entries have been automatically matched using custom scripts, remaining inconsistencies, including outdated, misspelled, or abbreviated terms, require manual curation using resources such as Google, PubMed, and domain-specific dictionaries and ontologies.&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Symposium_2025&amp;diff=876</id>
		<title>Symposium 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Symposium_2025&amp;diff=876"/>
		<updated>2025-07-17T15:15:31Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The HIVE Lab symposium is scheduled for Thursday July 31, 2025. It is an exciting time for the lab volunteers and interns to present their finding on the projects they worked on for 8 weeks.&lt;br /&gt;
&lt;br /&gt;
[[File:DC.png|center|frame]]&lt;br /&gt;
&lt;br /&gt;
== &#039;&#039;&#039;Program and Information&#039;&#039;&#039; ==&lt;br /&gt;
&lt;br /&gt;
=== &#039;&#039;&#039;Symposium Venue&#039;&#039;&#039; ===&lt;br /&gt;
The HIVE lab symposium will held in person at The George Washington University, Washington DC with an option to join virtually.&lt;br /&gt;
&lt;br /&gt;
In Person - Ross 647, Ross Hall, School of Health and Medical Sciences, The George Washington University, Washington DC ([https://maps.app.goo.gl/PHQmZacA4hWDvTCh6 MAP])&lt;br /&gt;
&lt;br /&gt;
Virtual - Zoom&lt;br /&gt;
&lt;br /&gt;
== &#039;&#039;&#039;Agenda&#039;&#039;&#039; ==&lt;br /&gt;
All times in Eastern Standard Time&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|&#039;&#039;&#039;Time (ET)&#039;&#039;&#039;&lt;br /&gt;
|&#039;&#039;&#039;Project&#039;&#039;&#039;&lt;br /&gt;
|&#039;&#039;&#039;Title&#039;&#039;&#039;&lt;br /&gt;
|&#039;&#039;&#039;Presenter&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;&#039;10:00am&#039;&#039;&#039;&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |                                                                                            &#039;&#039;&#039;Welcome and Introduction&#039;&#039;&#039;&lt;br /&gt;
|&#039;&#039;&#039;Michael Tiemeyer (10 min)&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |                                                                                                                         &#039;&#039;Group 1 Moderator : Nathan Edwards&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|10:10am &lt;br /&gt;
|CFDE&lt;br /&gt;
|Integrating Biocuration and Data Standardization to Generate Machine Learning-Ready Glycan Datasets&lt;br /&gt;
|Ana Jaramillo and Yuxin Zou (20 min)&lt;br /&gt;
|-&lt;br /&gt;
|10:30am&lt;br /&gt;
|CFDE&lt;br /&gt;
|&lt;br /&gt;
|Campbell Ross (15 min)&lt;br /&gt;
|-&lt;br /&gt;
|10:45am&lt;br /&gt;
|CFDE&lt;br /&gt;
|A Graph-Based AI Workflow for Mining Glycan Biomarkers and Related Annotations from Publications&lt;br /&gt;
|Cyrus Chun Hong Au Yeung (15 min)&lt;br /&gt;
|-&lt;br /&gt;
|11:00am&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|&lt;br /&gt;
|(15 min)&lt;br /&gt;
|-&lt;br /&gt;
|11:15am&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|&lt;br /&gt;
|(15 min)&lt;br /&gt;
|-&lt;br /&gt;
|11:30am&lt;br /&gt;
|BiomarkerKB&lt;br /&gt;
|&lt;br /&gt;
|(15 min)&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;&#039;11:45am&#039;&#039;&#039;&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |&#039;&#039;&#039;Open Q and A&#039;&#039;&#039;&lt;br /&gt;
|&#039;&#039;&#039;All (30 min)&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|12:30pm&lt;br /&gt;
| colspan=&amp;quot;3&amp;quot; |                                                                                                          &#039;&#039;&#039;LUNCH (90 mins)&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |                                                                                                                         &#039;&#039;Group 1 Moderator : Nathan Edwards&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|2:00pm&lt;br /&gt;
|Predictmod AI-READI&lt;br /&gt;
|Robust Classification of Glycemic Health States from Continuous Glucose &lt;br /&gt;
|Nikhil Arethiya (15 min)&lt;br /&gt;
|-&lt;br /&gt;
|2:15pm&lt;br /&gt;
|Predictmod Curation&lt;br /&gt;
|PredictMod: PubMed Curation for Training an LLM for Recommendation&lt;br /&gt;
|Grace Chong, Aaron Ressom, Diya Kamalabharathy (15 min)&lt;br /&gt;
|-&lt;br /&gt;
|2:30pm&lt;br /&gt;
|Argos&lt;br /&gt;
|&lt;br /&gt;
|(15 min)&lt;br /&gt;
|-&lt;br /&gt;
|2:45pm&lt;br /&gt;
|GlyGen&lt;br /&gt;
|GlyGen Biocuration Project&lt;br /&gt;
|Aise Arpinar, Haravinay P. Gujjulla, Nahom Abel (20 min)&lt;br /&gt;
|-&lt;br /&gt;
|3:05pm&lt;br /&gt;
|GlycoSiteMiner&lt;br /&gt;
|&lt;br /&gt;
|(15 min)&lt;br /&gt;
|-&lt;br /&gt;
|3:20pm&lt;br /&gt;
|Glycobiology Web Development&lt;br /&gt;
|A Resource Drill Down and Visualization for the Glyspace Alliance&lt;br /&gt;
|Diya Kamalabharathy (5 min)&lt;br /&gt;
|-&lt;br /&gt;
|&#039;&#039;&#039;3:25pm&#039;&#039;&#039;&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |&#039;&#039;&#039;Open Q and A&#039;&#039;&#039;&lt;br /&gt;
|&#039;&#039;&#039;All (20 min)&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|3:45pm&lt;br /&gt;
| colspan=&amp;quot;2&amp;quot; |                                                                                       &#039;&#039;&#039;Closing Remarks&#039;&#039;&#039;&lt;br /&gt;
|&#039;&#039;&#039;Raja Mazumder&#039;&#039;&#039;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== &#039;&#039;&#039;Project Description&#039;&#039;&#039; ==&lt;br /&gt;
&lt;br /&gt;
=== GlyGen Project ===&lt;br /&gt;
The GlyGen Biocuration project focuses on integrating legacy, yet valuable, data from the CarbBank and CFG databases into the GlyGen infrastructure. A key challenge is mapping metadata, such as species names and publication references, to standardized dictionaries and ontologies. While most entries have been automatically matched using custom scripts, remaining inconsistencies, including outdated, misspelled, or abbreviated terms, require manual curation using resources such as Google, PubMed, and domain-specific dictionaries and ontologies.&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=GW_Data_Commons_(GWDC)_Data&amp;diff=851</id>
		<title>GW Data Commons (GWDC) Data</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=GW_Data_Commons_(GWDC)_Data&amp;diff=851"/>
		<updated>2025-05-28T16:52:14Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;← &amp;lt;small&amp;gt;Go Back to the [[GW-FEAST|GW-FEAST Home Page]].&amp;lt;/small&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Introduction ==&lt;br /&gt;
The GW Data Commons (GWDC) data houses EMR data from GW Medical Faculty Associates (MFA) Caboodle Warehouse.&lt;br /&gt;
&lt;br /&gt;
== [[GW-FEAST Data De-identification|De-identification]] ==&lt;br /&gt;
The [[GWDC De-identification Tool|GW Data Commons (GWDC) de-identification tool]] is used to de-identify all GW-FEAST datasets prior to harmonization. This protocol was authored by Dr. Robel Kahsay of the Mazumder Research Group.&lt;br /&gt;
&lt;br /&gt;
== Dataset Information ==&lt;br /&gt;
The GWDC currently contains two prostate cancer datasets: imaging data (diagnosis event, cancer staging, demographics, and MRI images) and EMR data for 423 patients. &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Data Sample&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
To download a de-identified single-patient GWDC dataset, please visit [[GW-FEAST De-identified Data Templates]].&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=GW-FEAST_De-identified_Data_Templates&amp;diff=850</id>
		<title>GW-FEAST De-identified Data Templates</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=GW-FEAST_De-identified_Data_Templates&amp;diff=850"/>
		<updated>2025-05-28T16:51:04Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;← &amp;lt;small&amp;gt;Go Back to the [[GW-FEAST|GW-FEAST Home Page]].&amp;lt;/small&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The following de-identified single patient data templates are available for download. For more information about de-identification, please visit the [[GW-FEAST Data De-identification]] page.&lt;br /&gt;
&lt;br /&gt;
=== [[National Breast Cancer Coalition (NBCC) Data]] ===&lt;br /&gt;
* TBD&lt;br /&gt;
&lt;br /&gt;
=== [[GW Data Commons (GWDC) Data]] ===&lt;br /&gt;
* TBD&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Publications&amp;diff=847</id>
		<title>Publications</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Publications&amp;diff=847"/>
		<updated>2025-05-23T15:35:32Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;HIVE Platform Publications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Please cite use of HIVE with&amp;lt;/p&amp;gt;&lt;br /&gt;
    &amp;lt;li&amp;gt;Simonyan V and Mazumder R. High-performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis. Genes, 2014 Sep 30;5(4): 957-981. [https://www.ncbi.nlm.nih.gov/pubmed/25271953 PMID: 25271953]&amp;lt;/li&amp;gt;&lt;br /&gt;
    &amp;lt;li&amp;gt;Simonyan V, Chumakov K, Dingerdissen H, et al. High-performance integrated virtual environment (HIVE): a robust infrastructure for next-generation sequence data analysis. Database (Oxford). 2016; 2016:baw022. [https://www.ncbi.nlm.nih.gov/pubmed/26989153 PMID: 26989153]&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2&amp;gt;HIVE Team Publications&amp;lt;/h2&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kahsay R, Bhuiyan U, Au CCH, Edwards N, Johnson L, Kulkarni S, Martinez K, Ranzinger R, Vijay-Shanker K, Vora J, Warner K, Tiemeyer M, Mazumder R. GlycoSiteMiner: an ML/AI-assisted literature mining-based pipeline for extracting glycosylation sites from PubMed abstracts. Glycobiology. 2025 May 22. [https://pubmed.ncbi.nlm.nih.gov/40401984/ PMID: 40401984].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Aoki-Kinoshita KF, Lisacek F, Mazumder R, Ranzinger R, Tiemeyer M, Yamada I, Packer NH. Meeting report of the GlySpace alliance and GaLSIC symposium. Glycobiology. 2025 Mar 28:cwaf019. [https://pubmed.ncbi.nlm.nih.gov/40156285/ PMID: 40156285].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Clarke DJB, Evangelista JE, Xie Z, Marino GB, Byrd AI, Maurya MR, Srinivasan S, Yu K, Petrosyan V, Roth ME, Milinkov M, King CH, Vora JK, Keeney J, Nemarich C, Khan W, Lachmann A, Ahmed N, Agris A, Pan J, Ramachandran S, Fahy E, Esquivel E, Mihajlovic A, Jevtic B, Milinovic V, Kim S, McNeely P, Wang T, Wenger E, Brown MA, Sickler A, Zhu Y, Jenkins SL, Blood PD, Taylor DM, Resnick AC, Mazumder R, Milosavljevic A, Subramaniam S, Ma&#039;ayan A. Playbook workflow builder: Interactive construction of bioinformatics workflows. PLoS Comput Biol. 2025 Apr 3;21(4):e1012901. [https://pubmed.ncbi.nlm.nih.gov/40179105/ PMID: 40179105].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Keeney &#039;&#039;et al&#039;&#039;. Olduvai domain expression downregulates mitochondrial pathways: implications for human brain evolution and neoteny. October 22, 2024. bioRxiv. https://doi.org/10.1101/2024.10.21.619278&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Martinez K, Agirre J, Akune Y, Aoki-Kinoshita KF, Arighi C, Axelsen KB, Bolton E, Bordeleau E, Edwards NJ, Fadda E, Feizi T, Hayes C, Ives CM, Joshi HJ, Krishna Prasad K, Kossida S, Lisacek F, Liu Y, Lütteke T, Ma J, Malik A, Martin M, Mehta AY, Neelamegham S, Panneerselvam K, Ranzinger R, Ricard-Blum S, Sanou G, Shanker V, Thomas PD, Tiemeyer M, Urban J, Vita R, Vora J, Yamamoto Y, Mazumder R. Functional implications of glycans and their curation: insights from the workshop held at the 16th Annual International Biocuration Conference in Padua, Italy. Database (Oxford). 2024 Aug 13;2024:baae073. [https://pubmed.ncbi.nlm.nih.gov/39137905/ PMID: 39137905].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kim S, Mazumder R. Enhancing scientific reproducibility through automated BioCompute Object creation using Retrieval-Augmented Generation from publications. Computer Science,  Computation and Language. https://doi.org/10.48550/arXiv.2409.15076&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu J, Singleton SS, Bhuiyan U, Krammer L, Mazumder R. Multi-omics approaches to studying gastrointestinal microbiome in the context of precision medicine and machine learning. Front. Mol. Biosci.. 19 January 2024; Sec. Molecular Diagnostics and Therapeutics. Volume 10 – 2023. [https://www.ncbi.nlm.nih.gov/pubmed/38313584 PMID: 38313584].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Keeney JG, Gulzar N, Baker JB, Klempir O, Hannigan GD, Bitton DA, Maritz JM, King CHS 4th, Patel JA, Duncan P, Mazumder R. Communicating computational workflows in a regulatory environment. Drug Discov Today. 2024 Jan 12; 103884. [https://www.ncbi.nlm.nih.gov/pubmed/38219969 PMID: 38219969].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Sylvetsky AC, Clement RA, Stearrett N, Issa NT, Dore FJ, Mazumder R, King CH, Hubal MJ, Walter PJ, Cai H, Sen S, Rother KI, Crandall KA. Consumption of sucralose and acesulfame-potassium containing diet soda alters the relative abundance of microbial taxa at the species level: findings of two pilot studies. Appl Physiol Nutr Metab. 2024 Jan 1; 49(1):125-134. [https://www.ncbi.nlm.nih.gov/pubmed/37902107 PMID: 37902107].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Vora J, Navelkar R, Vijay-Shanker K, Edwards N, Martinez K, Ding X, Wang T, Su P, Ross K, Lisacek F, Hayes C, Kahsay R, Ranzinger R, Tiemeyer M, Mazumder R. The glycan structure dictionary-a dictionary describing commonly used glycan structure terms. Glycobiology. 2023 Feb 17; cwad014 [https://www.ncbi.nlm.nih.gov/pubmed/36799723 PMID: 36799723].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lisacek F, Tiemeyer M, Mazumder R, Aoki-Kinoshita KF. Worldwide Glycoscience Informatics Infrastructure: The GlySpace Alliance. JACS Au. eCollection 2023 Jan 23; [https://www.ncbi.nlm.nih.gov/pubmed/36711080 PMID: 36711080].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Datta Chaudhuri R, Datta R, Rana S, Kar A, Vinh Nguyen Lam P, Mazumder R, Mohanty S, Sarkar S. Cardiomyocyte-specific regression of nitrosative stress-mediated S-Nitrosylation of IKKγ alleviates pathological cardiac hypertrophy. Cell Signal. 2022 Oct; 98:110403 [https://www.ncbi.nlm.nih.gov/pubmed/35835332 PMID: 35835332].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dahlin M, Singleton SS, David JA, Basuchoudhary A, Wickström R, Mazumder R, Prast-Nielsen S. Higher levels of Bifidobacteria and tumour necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. Cell Signal. 2022 ; eBioMedicine (part of The Lancet discovery science) [https://www.ncbi.nlm.nih.gov/pubmed/35598439 PMID: 35598439].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lyman DF, Bell A, Black A, Dingerdissen H, Cauley E, Gogate N, Liu D, Joseph A, Kahsay R, Crichton DJ, Mehta A, Mazumder R. Modeling and integration of N-glycan biomarkers in a comprehensive biomarker data model. Glycobiology. August 2022; [https://academic.oup.com/glycob/article/32/10/855/6655823?login=false 35925813].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Torcivia J, Abdilleh K, Seidl F, Shahzada O, Rodriguez R, Pot D, Mazumder R. Whole Genome Variant Dataset for Enriching Studies across 18 Different Cancers. Onco (Basel). June 2022; 2(2):129-144. [https://www.ncbi.nlm.nih.gov/pubmed/37841494 PMID: 37841494].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dahlin M, Singleton S, David J, Basuchoudhary A, Wickstrom, Mazumder R, Prast-Nielsen S. Higher levels of Bifidobacteria and tumor necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet. eBioMedicine. June 2022; vol: 80. [https://doi.org/10.1016/j.ebiom.2022.104061 https://doi.org/10.1016/j.ebiom.2022.104061].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;King CH, Keeney J, Guimera N, Das S, Weber M, Fochtman B, Walderhaug MO, Talwar S, Patel JA, Mazumder R, Donaldson EF. Communicating regulatory high-throughput sequencing data using BioCompute Objects. Drug Discov Today. 2022 Jan 22; [https://www.ncbi.nlm.nih.gov/pubmed/35077912 PMID: 35077912].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wang Z, Hopson L, Singleton S, Yang X, Jogunoori W, Mazumder R, Obias V, Lin P, Nguyen BN, Yao M, Miller L, White J, Rao S, Mishra L. Mice with dysfunctional TGF-β signaling develop altered intestinal microbiome and colorectal cancer resistant to 5FU. Biochim Biophys Acta Mol Basis Dis. 2021 Oct 1; 1867(10):166179. [https://www.ncbi.nlm.nih.gov/pubmed/34082069 PMID: 34082069].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lyman D, Natale D, Schriml L, Anton K, Crichton DC, Mazumder R. Analysis of Biomarker Data Towards Development of a Molecular Biomarker Ontology. Proceedings of the International Conference on Biomedical Ontologies 2021 (ICBO 2021) co-located with the Workshop on Ontologies for the Behavioural and Social Sciences (OntoBess 2021) as part of the Bolzano Summer of Knowledge (BOSK 2021) Bozen-Bolzano, Italy. 2021 Sep 16-18; [https://ceur-ws.org/Vol-3073/paper13.pdf https://ceur-ws.org/Vol-3073/paper13.pdf].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Patel JA, Dean DA, King CH, Xiao N, Koc S, Minina E, Golikov A, Brooks P, Kahsay R, Navelkar R, Ray M, Roberson D, Armstrong C, Mazumder R, Keeney J. Bioinformatics tools developed to support BioCompute Objects. Database (Oxford). 2021 March 31; [https://www.ncbi.nlm.nih.gov/pubmed/33784373 PMID: 33784373].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hora B, Gulzar N, Chen Y, Karagiannis K, Cai F, Su C, Smith K, Simonyan V, Shah SA, Ahmed M, Sanchez AM, Stone M, Cohen MS, Denny TN, Mazumder R, Gao F. Streamlined Subpopulation, Subtype, and Recombination Analysis of HIV-1 Half-Genome Sequences Generated by High-Throughput Sequencing. mSphere. 2020 Oct 14; [https://www.ncbi.nlm.nih.gov/pubmed/33055255 PMID: 33055255].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hopson L, Singleton S, David J, Basuchoudhary A, Prast-Nielsen S, Klein P, Sen S, Mazumder R. Bioinformatics and machine learning in gastrointestinal microbiome research and clinical application. Prog Mol Biol Transl Sci. 2020 Sep 30; 176:141-178. [https://www.ncbi.nlm.nih.gov/pubmed/33814114 PMID: 33814114].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Torcivia J, Mazumder R. Scanning window analysis of non-coding regions within normal-tumor whole-genome sequence samples. Briefings in Bioinformatics. 2020 Sep 17; [https://www.ncbi.nlm.nih.gov/pubmed/32940334 PMID: 32940334].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Gogate N, Lyman D, Bell A, Cauley E, Crandall KA, Joseph A, Kahsay R, Natale DA, Schriml LM, Sen S, Mazumder R. COVID-19 biomarkers and their overlap with comorbidities in a disease biomarker data model. Brief Bioinform. 2021 May 20; bbab191. doi: 10.1093/bib/bbab191. [https://www.ncbi.nlm.nih.gov/pubmed/34015823 PMID: 34015823].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kahsay R, Vora J, Navelkar R, Mousavi R, Fochtman BC, Holmes X, Pattabiraman N, Ranzinger R, Mahadik R, Williamson T, Kulkarni S, Agarwal G, Martin M, Vasudev P, Garcia L, Edwards N, Zhang W, Natale DA, Ross K, Aoki-Kinoshita KF, Campbell MP, York WS, Mazumder R. GlyGen data model and processing workflow. Bioinformatics. 2020; [https://www.ncbi.nlm.nih.gov/pubmed/32324859 PMID: 32324859].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Kurnat-Thoma E, Baranova A, Baird P, Brodsky E, Butte AJ, Cheema AK, Cheng F, Dutta S, Grant C, Giordano J, Maitland-van der Zee AH, Fridsma DB, Jarrin R, Kann MG, Keeney J, Loscalzo J, Madhavan G, Maron BA, McBride DK, McKean M, Mun SK, Palmer JC, Patel B, Parakh K, Pariser AR, Pristipino C, Radstake TRDJ, Rajasimha HK, Rouse WB, Rozman D, Saleh A, Schmidt HHHW, Schultz N, Sethi T, Silverman EK, Skopac J, Svab I, Trujillo S, Valentine JE, Verma D, West BJ, Vasudevan S. Recent Advances in Systems and Network Medicine: Meeting Report from the First International Conference in Systems and Network Medicine. Syst Med (New Rochelle). 2020; 3(1):22-35. [https://www.ncbi.nlm.nih.gov/pubmed/32226924 PMID: 32226924].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen HM, Bastian F, Vijay-Shanker K, Robinson-Rechavi M, Bell A, Gogate N, Gupta S, Holmes E, Kahsay R, Keeney J, Kincaid H, King CH, Liu D, Crichton DJ, Mazumder R. OncoMX: A Knowledgebase for Exploring Cancer Biomarkers in the Context of Related Cancer and Healthy Data. JCO Clin Cancer Inform. 2020; 4:210-220. [https://www.ncbi.nlm.nih.gov/pubmed/32142370 PMID: 32142370].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Aoki-Kinoshita KF, Lisacek F, Mazumder R, York WS, Packer NH. The GlySpace Alliance: toward a collaborative global glycoinformatics community. Glycobiology. 2020; 30(2):70-71. [https://www.ncbi.nlm.nih.gov/pubmed/31573039 PMID: 31573039].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;York WS, Mazumder R, Ranzinger R, et al. GlyGen: Computational and Informatics Resources for Glycoscience. Glycobiology. 2019. https://doi.org/10.1093/glycob/cwz080 [https://www.ncbi.nlm.nih.gov/pubmed/31616925 PMID: 31616925].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;King CH, Desai H, Sylvetsky AC, LoTempio J, Ayanyan S, Carrie J, Crandall K, Fochtman B, Gasparyan L, Gulzar N, Howell P, Issa N, Krampis K, Mishra L, Morizono H, Pisegna JR, Rao S, Ren Y, Simonyan V, Smith K, VedBrat S, Yao M, Mazumder R. Baseline human gut microbiota profile in healthy people and standard reporting template. PLOS ONE. 2019. [https://www.ncbi.nlm.nih.gov/pubmed/31509535 PMID: 31509535].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Fan Y, Hu Y, Yan C, Goldman R, Pan Y, Mazumder R, Dingerdissen H. Loss and gain of N-linked glycosylation sequons due to single-nucleotide variation in cancer. Scientific Reports. PLoS One. 2018; 8():4322. [https://www.ncbi.nlm.nih.gov/pubmed/29531238 PMID: 29531238].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Baekdoo Kim, Thahmina Ali, Changsu Dong, Carlos Lijeron, Raja Mazumder, Claudia Wultsch, and Konstantinos Krampis. miCloud: A Plug-n-Play, Extensible, On-Premises Bioinformatics Cloud for Seamless Execution of Complex Next-Generation Sequencing Data Analysis Pipelines. Journal of Computational Biology. 2018. http://doi.org/10.1089/cmb.2018.0218&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Alterovitz G, Dean D A, Goble C, Crusoe M R, Soiland-Reyes S, Bell A, Hayes A, King, C H S, Taylor D, Johanson E, Thompson E E, Donaldson E, Morizono H, Tsang H S, Goecks J, Yao J, Almeida J S, Krampis K, Guo L, Walderhaug M, Walsh P, Kahsay R, Gottipati S, Bloom T, Lai Y, Simonyan V, Mazumder R. Enabling Precision Medicine via standard communication of HTS provenance, analysis, and results. PLOS Biology; 16(12): e3000099. 2018. https://doi.org/10.1371/journal.pbio.3000099&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Hu Y, Dingerdissen H, Gupta S, Kahsay R, Shanker V, Wan Q, Yan C, Mazumder R. Identification of key differentially expressed MicroRNAs in cancer patients through pan-cancer analysis. Computers in Biology and Medicine 2018; vol: 103 pp: 183-197. [https://www.ncbi.nlm.nih.gov/pubmed/30384176 PMID: 30384176].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Dingerdissen H, Torcivia-Rodriguez J, Hu Y, Chang T-C, Mazumder R, Kahsay R. BioMuta and BioXpress: mutation and expression knowledgebases for cancer biomarker discovery. Nucleic Acids Research. 2017. [https://pubmed.ncbi.nlm.nih.gov/30053270/ PMID: 30053270].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Karagiannis K, Simonyan V, Chumakov K, Mazumder R. Separation and assembly of deep sequencing data into discrete sub-population genomes. Nucleic Acids Research. 45(19):10989-11003. 2017. [https://www.ncbi.nlm.nih.gov/pubmed/28977510 PMID: 28977510].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Chen J, Zaidi S, Rao S, Chen J-S, Phan L, Farci P, Su X, Shetty K, White J, Zamboni F, Wu X, Rashid A, Pattabiraman N, Mazumder R, Horvath A, Wu R-C, Li S, Xiao C, Deng C-X, Wheeler D A, Mishra B, Akbani R, Mishra L. Analysis of Genomes and Transcriptomes of Hepatocellular Carcinomas Identifies Mutations and Gene Expression Changes in the Transforming Growth Factor beta Pathway. Gastroenterology. 2017; S0016-5085(17)36144-9. [https://www.ncbi.nlm.nih.gov/pubmed/28918914 PMID: 28918914].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Athey J, Alexaki A, Osipova E, Rostovtsev A, Santana-Quintero LV, Katneni U, Simonyan V, Kimchi-Sarfaty C. A new and updated resource for codon usage tables. BMC Bioinformatics. 2017; 18(1):391. [https://www.ncbi.nlm.nih.gov/pubmed/28865429 PMID: 28865429].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gannavaram S, Torcivia J, Gasparyan L, Kaul A, Ismail N, Simonyan V, Nakhasi HL. Whole genome sequencing of live attenuated Leishmania donovani parasites reveals novel biomarkers of attenuation and enables product characterization. Sci Rep. 2017; 7(1):4718. [https://www.ncbi.nlm.nih.gov/pubmed/28680050 PMID: 28680050].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Simonyan V, Chumakov K, Donaldson E, Karagiannis K, Lam PV, Dingerdissen H, Voskanian A. HIVE-heptagon: A sensible variant-calling algorithm with post-alignment quality controls. Genomics. 2017; 109(3-4):131-140. [https://www.ncbi.nlm.nih.gov/pubmed/28188908 PMID: 28188908].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Pan Y, Yan C, Fan Y, Pan Q, Wan Q, Torcivia-Rodriquez J, Mazumder R. Distribution bias analysis of germline and somatic single-nucleotide variations that impact protein functional site and neighboring amino acids. Scientific Reports. 2017; 7:42169 [https://www.ncbi.nlm.nih.gov/pubmed/28176830 PMID: 28176830].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gulzar N, Dingerdissen H, Yan C, Mazumder R. Impact of Nonsynonymous Single-Nucleotide Variations on Post-Translational Modification Sites in Human Proteins. Methods Mol Biol. 2017; 1558:159-190. [https://www.ncbi.nlm.nih.gov/pubmed/28150238 PMID: 28150238].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Simonyan V, Goecks J, Mazumder R. BioCompute objects - a step towards evaluation and validation of bio-medical scientific computations. PDA J Pharm Sci Technol. 2017; 71(2):136-146 [https://www.ncbi.nlm.nih.gov/pubmed/27974626 PMID: 27974626].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Yan C, Pattabiraman N, Goecks J, Lam P, Nayak A, Pan Y, Torcivia-Rodriquez J, Voskanian A, Wan Q, Mazumder R. Impact of germline and somatic missense variations on drug binding sites. Pharmacogenomics J. 2017; 17(2):128-136 [https://www.ncbi.nlm.nih.gov/pubmed/26810135 PMID: 26810135].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Novatt H, Theisen TC, Massie T, Simonyan V, Voskanian-Kordi A, Renn LA, Rabin RL. Distinct Patterns of Expression of Transcription Factors in Response to Interferon Beta and Interferon lambda-1. J Interferon Cytokine Res. 2016; 36(10):589-598 [https://www.ncbi.nlm.nih.gov/pubmed/27447339 PMID: 27447339].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Chen C, Huang H, Mazumder R, Natale DA, McGarvey PB, Zhang J, Poison SW, Wang Y, Wu CH, UniProt Consortium. Computational clustering for viral reference proteomes. Bioinformatics. 2016; 32(13):2041-3 [https://www.ncbi.nlm.nih.gov/pubmed/27153712 PMID: 27153712].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mahmood AS, Wu TJ, Mazumder R, Vijay-Shanker K. DiMeX: A text-mining system for mutation-disease association extraction. PLoS One. 2016; 11(4):e0152725 [https://www.ncbi.nlm.nih.gov/pubmed/27073839 PMID: 27073839].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Goldweber S, Theodore J, Torcivia-Rodriquez J, Simonyan V, Mazumder R. Pubcast and Genecast: Browsing and exploring publications and associated curated content in biology through mobile devices. IEEE/ACM Trans Comput Biol Bioinform. 2016; 14(2):498-500 [https://www.ncbi.nlm.nih.gov/pubmed/28113865 PMID: 28113865].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Laassri M, Zagorodnyaya T, Plant EP, Petrovskaya S, Bidzhieva B, Ye Z, Simonyan V, Chumakov K. Deep Sequencing for Evaluation of Genetic Stability of Influenza A/California/07/2009 (H1N1) Vaccine Viruses. PLoS One. 2015; 10(9):e0138650. [https://www.ncbi.nlm.nih.gov/pubmed/26407068 PMID: 26407068].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Sauder CJ, Ngo L, Simonyan V, Cong Y, Zhang C, Link M, Malik T, Rubin SA. Generation and propagation of recombinant mumps viruses exhibiting an additional U residue in the homopolymeric U tract of the F gene-end signal. Virus Genes. 2015; 51(1):12-24. [https://www.ncbi.nlm.nih.gov/pubmed/25962759 PMID: 25962759].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu T-J, Schriml LM, Chen Q-R, Colbert M, Crichton DJ, Finney R, Hu Y, Kibbe WA, Kincaid H, Meerzaman D, Mitraka E, Pan Y, Smith KM, Srivastava S, Ward S, Yan C, Mazumder R. Generating a focused view of Disease Ontology cancer terms for pan-cancer data integration and analysis. Database (Oxford). 2015; 2015:bav032. [https://www.ncbi.nlm.nih.gov/pubmed/25841438 PMID: 25841438].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wan Q, Dingerdissen H, Fan Y, Gulzar N, Pan Y, Wu T-J, Yang C, Zhang H, Mazumder R. BioXpress: An integrated RNA-seq derived gene expression database for pan-cancer analysis. Database (Oxford). 2015; 2015. pii: bav019 [https://www.ncbi.nlm.nih.gov/pubmed/25819073 PMID: 25819073].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Kumari P, Mazumder R, Simonyan V, Krampis K. Advantages of distributed and parallel algorithms that leverage Cloud Computing platforms for large-scale genome assembly. F1000Research. 2015; 4(20). [https://hsrc.himmelfarb.gwu.edu/cgi/viewcontent.cgi?article=1167&amp;amp;context=smhs_biochem_facpubs https://hsrc.himmelfarb.gwu.edu/cgi/viewcontent.cgi?article=1167&amp;amp;context=smhs_biochem_facpubs].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Abunimer A, Dingerdissen H, Torcivia-Rodriguez J, Vinh Nguyen Lam P, Mazumder R. Non-synonymous Single-Nucleotide Variations as Cardiovascular System Disease Biomarkers and Their Roles in Bridging Genomic and Proteomic Technologies. Biomarkers in Cardiovascular Disease. 2015. [https://link.springer.com/referenceworkentry/10.1007/978-94-007-7741-5_40-1 Springer Nature link].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Adhikari S, Chetram MA, Woodrick J, Mitra PS, Manthena PV, Khatkar P, Dakshanamurthy S, Dixon M, Karmahapatra SK, Nuthalapati NK, Gupta S, Narasimhan G, Mazumder R, Loffredo CA, Uren A, Roy R. Germ-line variants of human N-methylpurine DNA glycosylase show impaired DNA repair activity and facilitate 1,N6 ethenoadenine induced mutations. J Biol Chem. 2014; 290(8):4966-80. [https://www.ncbi.nlm.nih.gov/pubmed/25538240 PMID: 25538240].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wilson CA and Simonyan V. FDA&#039;s Activities Supporting Regulatory Application of &amp;quot;Next Gen&amp;quot; Sequencing Technologies. PDA J Pharm Sci Technol. 2014; 68(6):626-630. [https://www.ncbi.nlm.nih.gov/pubmed/25475637 PMID: 25475637].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Shamsaddini A, Pan Y, Johnson WE, Krampis K, Shcheglovitova M, Simonyan V, Zanne A, Mazumder R. Census-based rapid and accurate metagenome taxonomic profiling. BMC Genomics. 2014; 15(1):918. [https://www.ncbi.nlm.nih.gov/pubmed/25336203 PMID: 25336203].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Pan Y, Karagiannis K, Zhang H, Dingerdissen H, Shamsaddini A, Wan Q, Simonyan V, Mazumder R. Human germline and pan-cancer variomes and their distinct functional profiles. Nucleic Acids Research. 2014; 42(18):11570-88. [https://www.ncbi.nlm.nih.gov/pubmed/25232094 PMID: 25232094].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Nayak A, Pattabiraman N, Fadra N, Goldman R, Pond S, Mazumder R. Structure-function analysis of hepatitis C virus envelope glycoproteins E1 and E2. J Biomol Struct Dyn. 2014; 33(8):1682-94. [https://www.ncbi.nlm.nih.gov/pubmed/25245635 PMID: 25245635].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Faison WJ, Rostovtsev A, Castro-Nallar E, Crandall KA, Chumakov K, Simonyan V, Mazumder R. Whole genome single-nucleotide variation profile-based phylogenetic tree building methods for analysis of viral, bacterial and human genomes. Genomics. 2014; 104(1):1-7. [https://www.ncbi.nlm.nih.gov/pubmed/24930720 PMID: 24930720].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Santana-Quintero L, Dingerdissen H, Thierry-Mieg J, Mazumder R, Simonyan V. HIVE-Hexagon: High-Performance, Parallelized Sequence Alignment for Next-Generation Sequencing Data Analysis. PLOS One. 2014; 9(6):e99033. [https://www.ncbi.nlm.nih.gov/pubmed/24918764 PMID: 24918764].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen H, Weaver DS, Karp PD, Pan Y, Simonyan V, Mazumder R. A framework for application of metabolic modeling in yeast to predict the effects of nsSNV in human orthologs. Biol Direct. 2014; 9:9. [https://www.ncbi.nlm.nih.gov/pubmed/24894379 PMID: 24894379].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Bidzhieva B, Zagorodnyaya T, Karagiannis K, Simonyan V, Laassri M, Chumakov K. Deep sequencing approach for genetic stability evaluation of influenza A viruses. J Virol Methods. 2014; 199(68):75. [https://www.ncbi.nlm.nih.gov/pubmed/24406624 PMID: 24406624].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Abunimer A, Smith K, Wu T-J, Lam P, Simonyan V, Mazumder R. Single-nucleotide variations in cardiac arrhythmias: prospects for genomics and proteomics based variation detection. Genes. 2014; 5(2):254-69. [https://www.ncbi.nlm.nih.gov/pubmed/24705329 PMID: 24705329].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Wu T-J, Shamsaddini A, Pan Y, Smith K, Crichton DJ, Simonyan V, Mazumder R. A framework for organizing cancer related variations from existing databases, publications and NGS data using a High-performance Integrated Virtual Environment (HIVE). Database. 2014; 2014:bau022. [https://www.ncbi.nlm.nih.gov/pubmed/24667251 PMID: 24667251].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dabrazhynetskaya A, Soika V, Volokhov D, Simonyan V, Chizhikov V. Genome Sequence of Mycoplasma hyorhinis Strain DBS 1050. Genome Announce. 2014; 2(2):pii: e00127-14. [https://www.ncbi.nlm.nih.gov/pubmed/24604646 PMID: 24604646].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Cole C, Krampis K, Karagiannis K, Almeida J, Faison JW, Motwani M, Wan Q, Golikov A, Pan Y, Simonyan V, Mazumder R. Non-synonymous variations in cancer and their effects on the human proteome: workflow for NGS data biocuration and proteome-wide analysis of TCGA data. BMC Bioinformatics. 2014; 15:28. [https://www.ncbi.nlm.nih.gov/pubmed/24467687 PMID: 24467687].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mudvari P, Kowsari K, Cole C, Mazumder R, Horvath A. Extraction of molecular features through exome to transcriptome alignment. J Metabol Sys Biol. 2013; 1(1):7. [https://www.ncbi.nlm.nih.gov/pubmed/24791251 PMID: 24791251].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Basuchoudhary A, Simonyan V, Mazumder R. Community annotation and the evolution of cooperation: How patience matters. Open Bioinformatics Journal. 2013; 7:9-18.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Karagiannis K, Simonyan V, Mazumder R. SNVDis: A Proteome-wide Analysis Service for Evaluating nsSNVs in Protein Functional Sites and Pathways. Genomics Proteomics Bioinformatics. 2013; 11(2):122-126. [https://www.ncbi.nlm.nih.gov/pubmed/23618375 PMID: 23618375].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Lam PV, Goldman R, Karagiannis K, Narsule T, Simonyan V, Soika V, Mazumder R. Structure-based Comparative Analysis and Prediction of N-linked Glycosylation Sites in Evolutionarily Distant Eukaryotes. Genomics Proteomics Bioinformatics. 2013; 11(2):96-104. [https://www.ncbi.nlm.nih.gov/pubmed/23459159 PMID: 23459159].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Dingerdissen H, Motwani M, Karagiannis K, Simonyan V, Mazumder R. Proteome-wide analysis of nonsynonymous single-nucleotide variations in active sites of human proteins. FEBS J. 2013; 280(6):1542-1562. [https://www.ncbi.nlm.nih.gov/pubmed/23350563 PMID: 23350563].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Gaudet P, Arighi C, Bastian F, Bateman A, Blake JA, Cherry MJ, D&#039;Eustachio P, Finn R, Giglio M, Hirschman L, Kania R, Klimke W, Martin MJ, Karsch-Mizrachi I, Munoz-Torres M, Natale D, O&#039;Donovan C, Ouellette F, Pruitt KD, Robinson-Rechavi M, Sansone SA, Schofield P, Sutton G, Van Auken K, Vasudevan S, Wu C, Young J, Mazumder R. Recent advances in biocuration: meeting report from the Fifth International Biocuration Conference. Database (Oxford). 2012; 2012:bas036. [https://www.ncbi.nlm.nih.gov/pubmed/23110974 PMID: 23110974].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Volokhov DV, Simonyan V, Davidson MK, Chizhikov VE. RNA polymerase beta subunit (rpoB) gene and the 16S-23S rRNA intergenic transcribed spacer region (ITS) as complementary molecular markers in addition to the 16S rRNA gene phylogenetic analysis and identification of the species of the family Mycoplasmataceae. Mol Phylogenet Evol. 2012; 62(1):515-28. [https://www.ncbi.nlm.nih.gov/pubmed/22115576 PMID: 22115576].&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Mazumder R, Morampudi KS, Motwani M, Vasudevan S, Goldman R. Proteome-wide analysis of single-nucleotide variations in the N-glycosylation sequon of human genes. PLoS One. 2012; 7(5):e36212. [https://www.ncbi.nlm.nih.gov/pubmed/22586465 PMID: 22586465].&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=837</id>
		<title>Volunteership 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=837"/>
		<updated>2025-05-09T14:33:22Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;2025 Volunteer Program Details&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Dates&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;strong&amp;gt;Volunteer Zoom Kick-Off Meeting&amp;lt;/strong&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
May 26, 2025 | 3:30 to 4:30 PM&lt;br /&gt;
&lt;br /&gt;
&amp;lt;strong&amp;gt;Program Dates: June 2nd, 2025 – July 25th, 2025&amp;lt;/strong&amp;gt; (8 weeks)&amp;lt;br&amp;gt;&lt;br /&gt;
Monday to Friday | Remote | No breaks&lt;br /&gt;
&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Volunteer Expectations&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Daily progress updates via Slack (scrum).&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Regular Zoom meetings with the assigned project point of contact.&amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;Expected to dedicate 5–6 hours per day to project work, with the remaining time focused on skill development or reading. &amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&amp;lt;p style=&amp;quot;color: red;&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;Important:&amp;lt;/strong&amp;gt; If the scrum is not updated for 2 consecutive days, the candidate will be &amp;lt;u&amp;gt;automatically dropped&amp;lt;/u&amp;gt; from the program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Potential Projects&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;BiomarkerKB ([https://biomarkerkb.org biomarkerkb.org]) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;GlyGen ([https://glygen.org glygen.org]) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;ARGOS ([https://argosdb.org argosdb.org]) project: Analyze genomics data using HIVE to identify reference genome assemblies. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;PredictMod ([https://hivelab.biochemistry.gwu.edu/predictmod hivelab.biochemistry.gwu.edu/predictmod]) project. Identifying datasets and harmonizing them so that they can be used to generate ML models.  &amp;lt;/li&amp;gt;&amp;lt;/ol&amp;gt;&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;1. BiomarkerKB Biocuration Project Ideas&amp;lt;/h4&amp;gt;POC: Daniall Masood, Maria Kim&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
# Prioritize papers identified by GlycoSiteMiner for curation via TableMaker&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer&lt;br /&gt;
&lt;br /&gt;
Data Identification &amp;amp; Harmonization: &lt;br /&gt;
&lt;br /&gt;
# Identify publicly-available datasets from scientific literature that can be used for intervention outcome prediction models.&lt;br /&gt;
# Conduct data harmonization and pre-processing following established project pipelines to make ML-ready dataset and data dictionary.&lt;br /&gt;
&lt;br /&gt;
Modeling &amp;amp; Integration (for those with experience in programming/ML)&lt;br /&gt;
&lt;br /&gt;
# Perform model training and document ML pipeline in a BioCompute Object (BCO). &lt;br /&gt;
# Integrate model into PredictMod platform.&lt;br /&gt;
&lt;br /&gt;
Individuals with a background or interest in machine learning should reach out to lorikrammer@gwu.edu with a potential dataset to determine if it is a feasible project for the summer.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail. ~1 week&#039;s worth of work&lt;br /&gt;
## Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found. ~4-10 weeks worth of work&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&amp;lt;hr&amp;gt;&lt;br /&gt;
&amp;lt;h3&amp;gt;Requirements for Completion&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Note:&amp;lt;/strong&amp;gt; The following are &amp;lt;u&amp;gt;mandatory&amp;lt;/u&amp;gt;. Failure to complete any will result in an incomplete volunteer record.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Documentation&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Written Report&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Presentation &amp;amp; Slide Submission&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Present your work last week of the 8-week period.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Slides must be submitted to the Admin Team and should include:&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A title slide with your name, date, and mentor&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;At least 3 content slides&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A final slide with acknowledgements or references&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
Contact the Admin Team to access previously submitted slides.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
=== Volunteers ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
|-&lt;br /&gt;
! Name&lt;br /&gt;
!Project&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
| [https://www.linkedin.com/in/gracesjchong/ Grace Chong]&lt;br /&gt;
|PredictMod&lt;br /&gt;
|&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/alma-ogunsina-4959072b1/ Alma Ogunsina]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# ARGOS&lt;br /&gt;
# PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/diya-kamalabharathy-62557935a/ Diya Kamalabharathy]&lt;br /&gt;
|PredictMod&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# PredictMod Machine Learning&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/harivinay-prasad-reddy-gujjula-a06ba71bb/ Harivinay P. Gujjula]&lt;br /&gt;
|GlyGen curation&lt;br /&gt;
|&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BioMarkerKB Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/miao-wang-88b602290/Miao&amp;amp;#x20;Wang Miao Wang]&lt;br /&gt;
|ARGOS&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration Project Ideas&lt;br /&gt;
# FDA-ARGOS Computation and Pathogen Curation Project&lt;br /&gt;
# PredictMod Machine Learning Project Ideas&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/nahom-gebreselassie-1545ab336/ Nahom Abel]&lt;br /&gt;
|GlyGen curation&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/kajal-patel-cs/ Kajal Sanjaykumar Patel]&lt;br /&gt;
|GlyGen and PubMed project&lt;br /&gt;
|&lt;br /&gt;
#PredictMod&lt;br /&gt;
#BiomarkerKB&lt;br /&gt;
#GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/john-mccaffrey-b8850930a/ John McCaffrey]&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# GlyGen Biocuration &lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/nathan-ressom/ Nathan Ressom]&lt;br /&gt;
|ARGOS&lt;br /&gt;
|&lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/aaron-ressom/ Aaron Ressom] &lt;br /&gt;
|PredictMod&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB &lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/akale-kinfe/ Akale Kinfe]&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# ARGOS&lt;br /&gt;
|-&lt;br /&gt;
|Aise Arpinar &lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Publication Analysis&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/piyush-pandey-906b582b5/ Piyush Pandey]&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration &lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen Biocuration &lt;br /&gt;
|-&lt;br /&gt;
|[http://www.linkedin.com/in/filmawit-zeru-203272363 Filmawit Zeru]&lt;br /&gt;
|GlycoSiteMiner project&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# GlyGen&lt;br /&gt;
# ARGOS&lt;br /&gt;
|-&lt;br /&gt;
|[https://www.linkedin.com/in/mathias-belay-03b51a2a3/ Mathias Belay]&lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
# GlyGen&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=GW_Bioinformatics_Network&amp;diff=826</id>
		<title>GW Bioinformatics Network</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=GW_Bioinformatics_Network&amp;diff=826"/>
		<updated>2025-05-01T11:29:31Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* GW Bioinformatics Labs/Groups */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Contents ==&lt;br /&gt;
__TOC__&lt;br /&gt;
&lt;br /&gt;
== About ==&lt;br /&gt;
The GW Bioinformatics Network was established in the fall of 2024 when a group of principal investigators came together to discuss their shared research interests and explore opportunities for improved collaboration.  &lt;br /&gt;
&lt;br /&gt;
== Upcoming Meetings ==&lt;br /&gt;
=== 2025 Spring Meeting (GW-Bioinformatics Symposium) ===&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; April 29th. &lt;br /&gt;
&#039;&#039;&#039;Overall idea:&#039;&#039;&#039; All-hands, all-day meeting/conference. We will have posters and talks. Students, staff, and faculty will be encouraged to join.  &lt;br /&gt;
&#039;&#039;&#039;Link:&#039;&#039;&#039; [https://hivelab.biochemistry.gwu.edu/wiki/2025_Bioinformatics_Symposium 2025 Bioinformatics Symposium]&lt;br /&gt;
&lt;br /&gt;
=== 2025 Fall Meeting ===&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; To be decided.  &lt;br /&gt;
&#039;&#039;&#039;Fall Retreat (PD/PI-Only):&#039;&#039;&#039; A smaller meeting dedicated to discussions about proposals, funding, and our strategic mission.  &lt;br /&gt;
&lt;br /&gt;
== Past Meetings ==&lt;br /&gt;
[[File:sym.jpg|thumb|right|250px|Attendee picture | 1st Bioinformatics Retreat (2024 Fall)]]&lt;br /&gt;
[[File:Notes.png|thumb|right|250px|Attendee picture | Attendee notes | 1st Bioinformatics Retreat(2024 Fall)]]&lt;br /&gt;
=== 2024 Fall Meeting ===&lt;br /&gt;
&#039;&#039;&#039;Date:&#039;&#039;&#039; 10/31/2024  &lt;br /&gt;
&#039;&#039;&#039;Fall Retreat (PD/PI-Only):&#039;&#039;&#039; A smaller meeting dedicated to discussions about proposals, funding, and our strategic mission.  &lt;br /&gt;
&#039;&#039;&#039;Notes:&#039;&#039;&#039; Notes from Fall 2024 meeting.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== LISTSERV ==&lt;br /&gt;
Anyone interested in bioinformatics at GW can subscribe. To subscribe to the listserv, which we can use to share funding, collaboration, and training opportunities, please follow these steps:  &lt;br /&gt;
&lt;br /&gt;
# Go to your email program and choose &#039;&#039;&#039;Compose&#039;&#039;&#039;. Keep &#039;&#039;&#039;SUBJECT&#039;&#039;&#039; empty.  &lt;br /&gt;
# Type the bolded text below:  &lt;br /&gt;
#&#039;&#039;&#039;TO:&#039;&#039;&#039; listserv@hermes.gwu.edu  &lt;br /&gt;
#&#039;&#039;&#039;MESSAGE TEXT:&#039;&#039;&#039; &#039;&#039;&#039;subscribe BIOINFO your-first-name your-last-name&#039;&#039;&#039;  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Bioinformatics Funding Opportunities ==&lt;br /&gt;
See [https://blogs.gwu.edu/smhsresearch/genomics/ here] for bioinformatics related funding opportunities.  &lt;br /&gt;
== GW Bioinformatics Labs/Groups ==&lt;br /&gt;
* [https://cblab.org/ Alekseyev, Max Lab]  &lt;br /&gt;
* Bradley, Brenda Lab&lt;br /&gt;
* Berger, Seth Lab  &lt;br /&gt;
* Broniatowski, David Lab  &lt;br /&gt;
* Caldovic, Ljubica Lab  &lt;br /&gt;
* Callier, Shawneequa Lab  &lt;br /&gt;
* Crandall, Keith Lab  &lt;br /&gt;
* Garbey, Marc Lab  &lt;br /&gt;
* Gaylord, Clark Group  &lt;br /&gt;
* Gulla, Aiste Lab&lt;br /&gt;
* Horvath, Anelia Lab  &lt;br /&gt;
* Huang Lab  &lt;br /&gt;
* Kaminski, Henry Lab  &lt;br /&gt;
* [https://hivelab.biochemistry.gwu.edu/ Mazumder, Raja Lab (Biochemistry, SMHS)]  &lt;br /&gt;
* Morizono, Hiroki Lab  &lt;br /&gt;
* Orti, Guillermo Lab  &lt;br /&gt;
* Peng, Weiqun Lab  &lt;br /&gt;
* Perez-Losada, Marcos Lab  &lt;br /&gt;
* Pyron, Alex Lab  &lt;br /&gt;
* Qiu, Xiangyun Lab  &lt;br /&gt;
* Rahman, Muhammad Lab  &lt;br /&gt;
* Rahnavard, Ali Lab  &lt;br /&gt;
* Jo Lynne Rokita Lab  &lt;br /&gt;
* Saw, Jimmy Lab  &lt;br /&gt;
* Sepulveda, Jorge Lab  &lt;br /&gt;
* Simha, Rahul Lab  &lt;br /&gt;
* Zeng, Chen Lab  &lt;br /&gt;
* Zeng, Qing Lab&lt;br /&gt;
&lt;br /&gt;
== Contact ==&lt;br /&gt;
To add your name to this list please email mazumder_lab@gwu.edu. If you have a URL for your lab, please let us know so that we can link it. This will allow others to learn about your research and also find other faculty and staff in your lab/group.&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=824</id>
		<title>2025 Bioinformatics Symposium</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=824"/>
		<updated>2025-04-29T11:49:43Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{DISPLAYTITLE: 2025 Bioinformatics Symposium}}&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title&#039;&#039;&#039;: 2025 Inaugural GW Bioinformatics Symposium &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;When&#039;&#039;&#039;: April 29th 2025, 9am to 6pm&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Venue&#039;&#039;&#039;: Talks: SEH B1220. Refreshments, lunch, and posters: Green wall area (SEH B1167). &#039;&#039;&#039;GWorld card required for entry.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Join us for a full-day, all-hands GW Bioinformatics Symposium featuring posters, talks, and roundtable discussions. Open to GW students, staff, and faculty! &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;NOTE: We have received nearly 130 registrations, while SEH B1220 has a seating capacity of 90. Be sure to arrive early to secure a spot. For those who cannot be accommodated in the main room, we’ve arranged an overflow space in GWCC 8040 Conference Room, where the sessions will be live-streamed.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;REGISTRATION IS CLOSED. Event Registration:&#039;&#039;&#039; Space is limited. Please register by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; for the event through this &#039;&#039;&#039;&amp;lt;big&amp;gt;[https://docs.google.com/forms/d/e/1FAIpQLSd_VfXIL_S59cVgOBxx_0b0E-wMBphWbBVuK6-JOSm9-cqiJA/viewform?usp=sharing form]&amp;lt;/big&amp;gt;&#039;&#039;&#039;. If you encounter any issues, please email Raja Mazumder (mazumder@gwu.edu) your name and the lab you are representing and he will register you.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;ABSTRACT SUBMISSION IS CLOSED. Abstract submission:&#039;&#039;&#039; Please submit your abstract by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; through [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC &#039;&#039;&#039;&amp;lt;big&amp;gt;REDCap&amp;lt;/big&amp;gt;&#039;&#039;&#039;]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;OPT-OUT LUNCH PICKUP.&#039;&#039;&#039; We’re excited by the overwhelming response. Almost 130 participants from nearly all GW schools have signed up. Please note that seating in the main room is limited to the first 90 attendees. We encourage you to arrive early to secure a seat. For those who arrive later, we’re working to set up a spillover room with TV monitors so everyone can still follow the sessions. Lunch will be provided for all attendees who plan to stay for most of the day. If you’re attending only briefly and do not plan to pick up lunch, please let us know to help minimize food waste. You can either fill out this [https://docs.google.com/forms/d/e/1FAIpQLScWaw6JFsbtQgcdsk9XCZQMJ0mMb3Z0UR5uHZnTZ1DgBYJlDQ/viewform?usp=header form] or email mazumder@gwu.edu. We appreciate your understanding and cooperation.&lt;br /&gt;
&lt;br /&gt;
== Abstract/Overview ==&lt;br /&gt;
&lt;br /&gt;
The GW Bioinformatics Symposium on April 29, 2025, a full-day event is designed to bring together faculty, staff, and student bioinformatics researchers and also researchers who use bioinformatics in their labs,  from across GW to foster networking, collaboration, and knowledge exchange. The symposium will feature talks from GW labs that focus on bioinformatics and related research, poster presentations, roundtable discussions, and sessions on resources, funding and career opportunities in bioinformatics. Topics will span bioinformatics, computational methods, IT/security, and training, highlighting the breadth of bioinformatics in various GW schools and centers. This event offers a unique opportunity for attendees to engage in meaningful discussions, explore potential collaborations, and stay informed about the latest advancements in the field. The symposium is a great way to connect with the GW bioinformatics community.&lt;br /&gt;
&lt;br /&gt;
== Poster ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Participants are invited to submit a brief poster abstract by March 31st at 11:59 PM (ET). We encourage submissions from bioinformatics labs and also other labs that do not primarily focus on bioinformatics but have research relevant to bioinformatics topics. A select few will be chosen for lightning talks. Due to the limited number of poster boards, priority will be given to ensure each lab/group has at least one designated board. If the number of submitted poster abstracts exceeds the available poster boards, additional posters may be printed as flyers with QR codes, enabling attendees to scan, view, or download them electronically. &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Size:&#039;&#039;&#039; Poster sizes can be up to 48 (width) x 36 (height) inches.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Abstract Submission Portal:&#039;&#039;&#039; [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC Click here].&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Printing Instructions&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Download the poster template from GW Research Day Resources: [https://guides.himmelfarb.gwu.edu/ResearchDay/poster-design-layout Poster Design &amp;amp; Layout].&lt;br /&gt;
&lt;br /&gt;
After you create the PPT for your poster, request free poster printing from Gelman Library [https://library.gwu.edu/3-d-and-large-format-printing using this form].&lt;br /&gt;
&lt;br /&gt;
Submit your printing request by April 15th.&lt;br /&gt;
&lt;br /&gt;
== Schedule ([https://hivelab.biochemistry.gwu.edu/wiki/2025_Bioinformatics_Symposium#Talk_Titles Talk Titles]) ==&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Time&lt;br /&gt;
!Duration &lt;br /&gt;
!Topic&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Morning Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Registration, introduction, and health-related topics.&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|8:30 - 9:00 AM&lt;br /&gt;
|30 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Registration &amp;amp; coffee&amp;lt;/u&amp;gt;&lt;br /&gt;
Lead: Raechelle McCants, Jewel Dias&lt;br /&gt;
&lt;br /&gt;
* Registration&lt;br /&gt;
* Coffee&lt;br /&gt;
* Poster Setup&lt;br /&gt;
* Slide/AV setup &amp;amp; check&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|9 - 11:00 AM&lt;br /&gt;
|120 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Welcome&amp;lt;/u&amp;gt;&lt;br /&gt;
Rong Li (Chair, Dept. BMM, SMHS)&lt;br /&gt;
&lt;br /&gt;
Alison Hall (Senior Assoc Dean for Res, SMHS)&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Talks (10 mins + questions)&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Session chairs: Anelia Horvath, Raja Mazumder&lt;br /&gt;
|1. Anelia Horvath (Biochemistry)&lt;br /&gt;
2. Ljubica Caldovic (Children’s)&lt;br /&gt;
&lt;br /&gt;
3. Muhammad Rahman (Children’s)&lt;br /&gt;
&lt;br /&gt;
4. Seth Berger (Children’s)&lt;br /&gt;
&lt;br /&gt;
5. Raja Mazumder (Biochemistry)&lt;br /&gt;
&lt;br /&gt;
6. Yi-Wen Chen (Children’s)&lt;br /&gt;
&lt;br /&gt;
7. Aintzane Santaquiteria Gil (Biology, Orti Lab)&lt;br /&gt;
&lt;br /&gt;
8. *Marc Garbey (Neurology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
9. Jane Ulianova&lt;br /&gt;
&lt;br /&gt;
10. Aiste Gulla&lt;br /&gt;
|-&lt;br /&gt;
|11 - 11:15 AM&lt;br /&gt;
|15 min&lt;br /&gt;
|Refreshment Break. &lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|11:15 - 12:30 PM&lt;br /&gt;
|75 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session chairs: Ali Rahnavard, Ljubica Caldovic&lt;br /&gt;
|1. Jo Lynne Rokita (Children’s)&lt;br /&gt;
2. Max Alekseyev (Milken)&lt;br /&gt;
&lt;br /&gt;
3. Erika Hubbard (Crandall lab, Milken)&lt;br /&gt;
&lt;br /&gt;
5. Ali R. Taheriyoun  (Rahnavard Lab, Milken)&lt;br /&gt;
&lt;br /&gt;
6. Hiroki Morizono (Children’s)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;One 4 mins Poster Flash Talk&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Vania Ballesteros Prieto&lt;br /&gt;
|-&lt;br /&gt;
|12:30 - 2 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Lunch and poster session&lt;br /&gt;
Lead: Anelia Horvath, Raechelle McCants, Jewel Dias&lt;br /&gt;
|&#039;&#039;&#039;Poster Judging Committee:&#039;&#039;&#039;&lt;br /&gt;
Anelia Horvath &lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard &lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono &lt;br /&gt;
&lt;br /&gt;
Yi-Wen Chen &lt;br /&gt;
&lt;br /&gt;
Jimmy Saw&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Afternoon Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Breadth of bioinformatics in biological research; IT/security; Training&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|2:00 - 3:30 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session Chairs: Howie Huang, Jimmy Saw, Chen Zeng&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;3:10 PM remarks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Evangeline J. Downie (Associate Dean for Research, CCAS)&lt;br /&gt;
|1. Mohammad Hammas Saeed (Howie Huang Lab, Engineering)&lt;br /&gt;
2. Nan Wu (ECE, Engineering)&lt;br /&gt;
&lt;br /&gt;
3. Aya Zirikly (Computer Science, GW/JHU)&lt;br /&gt;
&lt;br /&gt;
4. Chen Zeng (Physics)&lt;br /&gt;
&lt;br /&gt;
5. Weiqun Peng (Physics)&lt;br /&gt;
&lt;br /&gt;
6. Shekhar Nagar (Jimmy Saw Lab, Biology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Chelcie Puetz&lt;br /&gt;
&lt;br /&gt;
8. Kai Leung (Adam) Wong&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|3: 30 - 4:30 PM&lt;br /&gt;
|60 min&lt;br /&gt;
|Session Chair: Jonathon Keeney.&lt;br /&gt;
Co-chairs: Hiroki Morizono, Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
* 5 min. Introduction: IT, omics support, and related topics&lt;br /&gt;
&lt;br /&gt;
* Questions from audience&lt;br /&gt;
** Round table discussion&lt;br /&gt;
** Careers in bioinformatics&lt;br /&gt;
** Funding opportunities&lt;br /&gt;
*Games&lt;br /&gt;
*Poster prizes&lt;br /&gt;
|Clark Gaylord (Director, Research Technology Services)&lt;br /&gt;
Brian Choi (MFA)&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath (MGPC core/Bioinformatics support)&lt;br /&gt;
&lt;br /&gt;
Jack Villani (GW Genomics Core)&lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard (CBI Analytics)&lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono (Children&#039;s)&lt;br /&gt;
|-&lt;br /&gt;
|4:30 - 6:00 PM&lt;br /&gt;
|&lt;br /&gt;
|Networking event and refreshments&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Keith Crandall&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Talk titles TBD&lt;br /&gt;
&lt;br /&gt;
== Presentation/Discussion Sessions ==&lt;br /&gt;
There will be a Q&amp;amp;A session and a networking event at the end of the workshop.&lt;br /&gt;
&lt;br /&gt;
== Scientific Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder (Symposium Chair), Anelia Horvath, Hiroki Morizono, Ljubica Caldovic, Keith Crandall, Jorge Sepulveda, Howie Huang, Chen Zeng, Jimmy Saw, Clark Gaylord.&lt;br /&gt;
&lt;br /&gt;
== Logistics Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder, Anelia Horvath, Raechelle McCants, Jewel Dias. Student volunteers: Jane, Sofia, Allison, Chloe, Trupri and Lincoln.&lt;br /&gt;
&lt;br /&gt;
== Talk Titles ==&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Department&lt;br /&gt;
!School&lt;br /&gt;
!Title&lt;br /&gt;
|-&lt;br /&gt;
|Jo Lynne Rokita&lt;br /&gt;
|Pediatrics&lt;br /&gt;
|CNH&lt;br /&gt;
|Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
|Erika Hubbard&lt;br /&gt;
|Bioinformatics and Biostatistics&lt;br /&gt;
|SPH&lt;br /&gt;
|Machine Learning to Determine Endotypes of Lupus&lt;br /&gt;
|-&lt;br /&gt;
|Raja Mazumder&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|Integrating Biomedical Knowledgebases and Clinical Data for ML/AI-Powered Insights&lt;br /&gt;
|-&lt;br /&gt;
|Jack Villani&lt;br /&gt;
|GW Genomics Core&lt;br /&gt;
|SPH&lt;br /&gt;
|GW Genomics Core: An Introduction &amp;amp; Overview (panel discussion)&lt;br /&gt;
|-&lt;br /&gt;
| Ayah Zirikly || Computer Science || SEAS/Johns Hopkins University || Developments in NLP and AI for Mental Health: Insights from the Last Decade and Future Directions – A Focus on the CLPsych Workshop&lt;br /&gt;
|-&lt;br /&gt;
| Weiqun Peng || Department of Physics || CCAS || Finding structures and their associated functions in genome wide of profiles of chromatin architecture&lt;br /&gt;
|-&lt;br /&gt;
| Nan Wu || Electrical and Computer Engineering || SEAS || Directed Graph Representation Learning for Circuits, Boolean Networks, and Beyond&lt;br /&gt;
|-&lt;br /&gt;
| Seth Berger || Biochemistry and Molecular Medicine / Pediatrics || SMHS || Blindspots in Clinical Genetic Testing: Integration of Multiomics to Improve Diagnostic Yields&lt;br /&gt;
|-&lt;br /&gt;
| Ali Reza Taheriyoun || Biostatistics and Bioinformatics || SPH || Dynamics of Gut Microbiome and Metabolome of Moderate and Severe Obesity Patients Under Sleeve Gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Yi-Wen Chen || Biochemistry and Molecular Medicine / Pediatrics || SMHS || From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Biological Sciences || CCAS || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
|Dae Young Kim&lt;br /&gt;
|Center for Translational Research&lt;br /&gt;
|CNH&lt;br /&gt;
|mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|AI driven Functional SNV Discovery from long read Single-Cell RNA-Seq Data&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Active Learning of Data Science and Bioinformtics&lt;br /&gt;
|-&lt;br /&gt;
|Max Alekseyev&lt;br /&gt;
|Mathematics / Biostatistics &amp;amp; Bioinformatics&lt;br /&gt;
|CCAS/SPH&lt;br /&gt;
|Bioinformatics Meets Quantum Informatics: from Genome Rearrangements to Weingarten Calculus&lt;br /&gt;
|-&lt;br /&gt;
|Aintzane Santaquiteria Gil&lt;br /&gt;
|Department of Biological Sciences&lt;br /&gt;
|CCAS&lt;br /&gt;
|Using comparative genomics to link genes with convergently evolved traits. &lt;br /&gt;
|-&lt;br /&gt;
|Chen Zeng&lt;br /&gt;
|Department of Physics&lt;br /&gt;
|CCAS&lt;br /&gt;
|Modeling RNA-protein Interactions with network guided machine learning&lt;br /&gt;
|-&lt;br /&gt;
|Mohammad Hammas Saeed&lt;br /&gt;
|Electrical and Computer Engineering&lt;br /&gt;
|SEAS&lt;br /&gt;
|AI for Good: Leveraging Graph-Based Methods and Large Language Models to Address Real-World Challenges&lt;br /&gt;
|-&lt;br /&gt;
|Hiroki Morizono&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Biomedical data resources at Children&#039;s National&lt;br /&gt;
|-&lt;br /&gt;
|Marc Garbey/Henry Kaminski&lt;br /&gt;
|Neurology &amp;amp; Rehabilitation Medicine&lt;br /&gt;
|MFA&lt;br /&gt;
|Moving towards a digital twin for myasthenia gravis &#039;&#039;(tentative title)&#039;&#039;&lt;br /&gt;
|} &lt;br /&gt;
&lt;br /&gt;
== Acknowledgments ==&lt;br /&gt;
&lt;br /&gt;
Sponsors: Dept. of Biochemistry and Molecular Medicine (coffee, refreshments, lunch, poster prizes), IBS (poster boards), Milken Institute School of Public Health (happy hour, poster prizes). &lt;br /&gt;
&lt;br /&gt;
== Contact ==&lt;br /&gt;
&#039;&#039;&#039;For questions about registration, abstract submission or general inquiries, please contact:&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Raja Mazumder: mazumder@gwu.edu&lt;br /&gt;
&lt;br /&gt;
== Poster Presentations ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! Name !! Presentation Title&lt;br /&gt;
|-&lt;br /&gt;
| Sunisha Harish || AI-Driven Drug Response Prediction in Cancer Using Long-Read Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
| Dae Young Kim || mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
| *Vania Ballesteros Prieto || Uncovering the Contributions of Expressed Genetic Variants, Isoforms, and RNA Editing to Tumor Heterogeneity via Long-Read Single-Cell RNA-Seq Analysis&lt;br /&gt;
|-&lt;br /&gt;
| Sarah Tiufekchiev-Grieco || Promoting Resolution of Inflammation as a Potential Therapy for DMD&lt;br /&gt;
|-&lt;br /&gt;
| Karli Gilbert || Machine Learning Models Predict Treatment Outcome from Serum Proteins in Patients with Myasthenia Gravis that received Thymectomy&lt;br /&gt;
|-&lt;br /&gt;
| Reny Mathew || Identification of anti-helminthic drug resistance associated Quantitative trait loci (QTLs) in the canine hookworm, Ancylostoma caninum: A pooled-sequencing approach&lt;br /&gt;
|-&lt;br /&gt;
| Jo Lynne Rokita || Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
| Henry Kaminski || Moving towards a digital twin for myasthenia gravis &lt;br /&gt;
|-&lt;br /&gt;
| Huai Chin Chiang || Single-Cell Transcriptomic and Phenotypic Profiling Reveals T Cell Dysfunction in BRCA1 Mutation Carriers&lt;br /&gt;
|-&lt;br /&gt;
| Lori Krammer || GW-FEAST: a federated ecosystem for data analysis and machine learning&lt;br /&gt;
|-&lt;br /&gt;
| Medha Kurukunda || Analyzing the Use of Artificial Intelligence to Enhance the Identification of Food Insecure Areas in Washington, D.C. &lt;br /&gt;
|-&lt;br /&gt;
| Christie Rose Woodside || Bridging Genomics and Preparedness: Regulatory-Grade Genomics and Quality Control Metrics and Analysis for Emerging and Circulating Avian Influenza in 2024-2025&lt;br /&gt;
|-&lt;br /&gt;
| *Aiste Gulla, MD, PhD || Clinical Outcomes and Long-Term Survival of Pancreatic Cancers by Histological Sub-Type in the Epic Cosmos Database: Results from 2010-2025&lt;br /&gt;
|-&lt;br /&gt;
| *Jane Ulianova || Comparison of alignment performance between the T2T-CHM13 and GRCh38/hg38 reference genome assemblies for RNAseq&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Automated Tracking of Freezing Behavior in Paired House Mice Using DeepLabCut&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Behavioral Bioinformatics for Temporal Analysis of Freezing Behavior in Dyad Mice&lt;br /&gt;
|-&lt;br /&gt;
| Karim Ismat || Generation of a single nuclei RNA sequencing atlas of dysferlin-deficient skeletal muscle &lt;br /&gt;
|-&lt;br /&gt;
| *Kai Leung (Adam) Wong || An Experience of carrying out GPU-accelerated Genomic Analysis on Pegasus&lt;br /&gt;
|-&lt;br /&gt;
| Gabriel Batzli || Defining macrophage heterogeneity in murine skin wounds during inflammation  &lt;br /&gt;
|-&lt;br /&gt;
| Hovhannes Arestakesyan || Recurrent Somatic scSNVs in Single-Cell RNA-Seq: Insights into Tumor Heterogeneity and RNA-Level Variants&lt;br /&gt;
|-&lt;br /&gt;
| Chloe Sachs || Secretome distinguishes spectrum of NF1 associated peripheral nerve sheath tumors&lt;br /&gt;
|-&lt;br /&gt;
| Nikhil Arethiya || A Time-Series Approach to Glucose-Based Participant Classification&lt;br /&gt;
|-&lt;br /&gt;
| Siera Martinez || Hetero-GNN Link Prediction of RNA Editing in Single Cells&lt;br /&gt;
|-&lt;br /&gt;
| Renxi Li || Thirty-day outcomes of infrainguinal bypass surgery with concurrent iliac artery stenting in patients with chronic limb-threatening ischemia &lt;br /&gt;
|-&lt;br /&gt;
| Matthew Mollerus || ResLens: Detecting Antibiotic Resistance Genes with Large Language Models&lt;br /&gt;
|-&lt;br /&gt;
| Parimala  Nagaraj || Cybersecurity at the Intersection of Genomics and Data Science: Securing the Future of Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
| Cristina Fenollar Ferrer || Functional impact of PIP2 on the Serotonin Transporter (SERT)&lt;br /&gt;
|-&lt;br /&gt;
| Ali Taheriyoun || Dynamics of gut microbiome and metabolome of obesity patients under sleeve gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Irene Zohn || Next Generation sequencing approaches to understand developmental defects&lt;br /&gt;
|-&lt;br /&gt;
| Max Alekseyev || Bioinformatics meets Quantum Informatics: from genome rearrangements to Weingarten calculus&lt;br /&gt;
|-&lt;br /&gt;
| Lausanne Lee Oliver || Phylogenetic analysis of novel phages from Hawaiian fumaroles&lt;br /&gt;
|-&lt;br /&gt;
|Mahdi Baghbanzadeh&lt;br /&gt;
|seqLens: optimizing language models for genomic predictions&lt;br /&gt;
|-&lt;br /&gt;
|Dezhao Fu&lt;br /&gt;
|varLens - enhancers genetic testing using language models&lt;br /&gt;
|-&lt;br /&gt;
|Lilly Shaw&lt;br /&gt;
|Uncovering Shared and Unique Biomarkers Across 23 Cancer Types Using The Cancer Genome Atlas (TCGA)&lt;br /&gt;
|-&lt;br /&gt;
|Daniall Masood&lt;br /&gt;
|BiomarkerKB: A Comprehensive Biomarker Knowledgebase&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Active Learning of Data Science and Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
|Urnisha Bhuiyan&lt;br /&gt;
|GlyGen: A Comprehensive Resource for Glycoscience Data Integration and Discovery&lt;br /&gt;
|-&lt;br /&gt;
|Surajit Bhattacharya&lt;br /&gt;
|Redefining Human Airway Biology in Children from The Top Down: Unique Features of the Nasal Airway Epithelium.&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|A Machine Learning Approach to Functional SNV Discovery via Isoform-Aware Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
|Christie Rose Woodside&lt;br /&gt;
|Enhanced QC Metrics for Reference-Grade Genomic Data&lt;br /&gt;
|-&lt;br /&gt;
|Yi-Wen Chen&lt;br /&gt;
|From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
|Pia Sen&lt;br /&gt;
|Investigating the role of bacteriophage diversity in Hawaiian steam vent microbial communities&lt;br /&gt;
|-&lt;br /&gt;
|Emily Williams&lt;br /&gt;
|TRIM28 regulates endogenous retroviral element expression in prostate cancer&lt;br /&gt;
|-&lt;br /&gt;
|Cadina Powell&lt;br /&gt;
|Be Smart And Use Smartphones for Telemedicine: Narrative Review &lt;br /&gt;
|-&lt;br /&gt;
|Xinyang Zhang&lt;br /&gt;
|Meta-analytic microbiome target discovery for immune checkpoint inhibitor response in advanced melanoma&lt;br /&gt;
|-&lt;br /&gt;
|Cyrus Chun Hong Au Yeung&lt;br /&gt;
|Leveraging Large Language Models for Scalable Glycan-Disease Relation Extraction&lt;br /&gt;
|-&lt;br /&gt;
|Ashley Garrison&lt;br /&gt;
|Gut Microbiome Composition as an Indicator of Preclinical Alzheimer&#039;s Disease&lt;br /&gt;
|-&lt;br /&gt;
|*Chelcie Puetz&lt;br /&gt;
|Combined Neuroinflammatory and Neurovascular Molecular Screening for Early Detection of Blood-Brain Barrier Dysfunction in Patients with Traumatic Brain Injury&lt;br /&gt;
|-&lt;br /&gt;
|Ranojoy Chatterjee&lt;br /&gt;
|cellSight: Enhanced Single-Cell Analysis Platform with Comprehensive Cell Communication Analysis.&lt;br /&gt;
|-&lt;br /&gt;
|Ishita Chopra&lt;br /&gt;
|Characterizing Cell Interaction and Gene Expression&lt;br /&gt;
|-&lt;br /&gt;
|Luke Johnson&lt;br /&gt;
|scSNViz: a user-friendly R package for visualization and analysis of cell specific expressed SNVs&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Flash talks&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=823</id>
		<title>2025 Bioinformatics Symposium</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=823"/>
		<updated>2025-04-28T19:48:44Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Logistics Organizing Committee */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{DISPLAYTITLE: 2025 Bioinformatics Symposium}}&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title&#039;&#039;&#039;: 2025 Inaugural GW Bioinformatics Symposium &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;When&#039;&#039;&#039;: April 29th 2025, 9am to 6pm&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Venue&#039;&#039;&#039;: Talks: SEH B1220. Refreshments, lunch, and posters: Green wall area (SEH B1167)&lt;br /&gt;
&lt;br /&gt;
Join us for a full-day, all-hands GW Bioinformatics Symposium featuring posters, talks, and roundtable discussions. Open to GW students, staff, and faculty! &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;NOTE: We have received nearly 130 registrations, while SEH B1220 has a seating capacity of 90. Be sure to arrive early to secure a spot. For those who cannot be accommodated in the main room, we’ve arranged an overflow space in GWCC 8040 Conference Room, where the sessions will be live-streamed.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;REGISTRATION IS CLOSED. Event Registration:&#039;&#039;&#039; Space is limited. Please register by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; for the event through this &#039;&#039;&#039;&amp;lt;big&amp;gt;[https://docs.google.com/forms/d/e/1FAIpQLSd_VfXIL_S59cVgOBxx_0b0E-wMBphWbBVuK6-JOSm9-cqiJA/viewform?usp=sharing form]&amp;lt;/big&amp;gt;&#039;&#039;&#039;. If you encounter any issues, please email Raja Mazumder (mazumder@gwu.edu) your name and the lab you are representing and he will register you.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;ABSTRACT SUBMISSION IS CLOSED. Abstract submission:&#039;&#039;&#039; Please submit your abstract by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; through [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC &#039;&#039;&#039;&amp;lt;big&amp;gt;REDCap&amp;lt;/big&amp;gt;&#039;&#039;&#039;]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;OPT-OUT LUNCH PICKUP.&#039;&#039;&#039; We’re excited by the overwhelming response. Almost 130 participants from nearly all GW schools have signed up. Please note that seating in the main room is limited to the first 90 attendees. We encourage you to arrive early to secure a seat. For those who arrive later, we’re working to set up a spillover room with TV monitors so everyone can still follow the sessions. Lunch will be provided for all attendees who plan to stay for most of the day. If you’re attending only briefly and do not plan to pick up lunch, please let us know to help minimize food waste. You can either fill out this [https://docs.google.com/forms/d/e/1FAIpQLScWaw6JFsbtQgcdsk9XCZQMJ0mMb3Z0UR5uHZnTZ1DgBYJlDQ/viewform?usp=header form] or email mazumder@gwu.edu. We appreciate your understanding and cooperation.&lt;br /&gt;
&lt;br /&gt;
== Abstract/Overview ==&lt;br /&gt;
&lt;br /&gt;
The GW Bioinformatics Symposium on April 29, 2025, a full-day event is designed to bring together faculty, staff, and student bioinformatics researchers and also researchers who use bioinformatics in their labs,  from across GW to foster networking, collaboration, and knowledge exchange. The symposium will feature talks from GW labs that focus on bioinformatics and related research, poster presentations, roundtable discussions, and sessions on resources, funding and career opportunities in bioinformatics. Topics will span bioinformatics, computational methods, IT/security, and training, highlighting the breadth of bioinformatics in various GW schools and centers. This event offers a unique opportunity for attendees to engage in meaningful discussions, explore potential collaborations, and stay informed about the latest advancements in the field. The symposium is a great way to connect with the GW bioinformatics community.&lt;br /&gt;
&lt;br /&gt;
== Poster ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Participants are invited to submit a brief poster abstract by March 31st at 11:59 PM (ET). We encourage submissions from bioinformatics labs and also other labs that do not primarily focus on bioinformatics but have research relevant to bioinformatics topics. A select few will be chosen for lightning talks. Due to the limited number of poster boards, priority will be given to ensure each lab/group has at least one designated board. If the number of submitted poster abstracts exceeds the available poster boards, additional posters may be printed as flyers with QR codes, enabling attendees to scan, view, or download them electronically. &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Size:&#039;&#039;&#039; Poster sizes can be up to 48 (width) x 36 (height) inches.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Abstract Submission Portal:&#039;&#039;&#039; [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC Click here].&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Printing Instructions&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Download the poster template from GW Research Day Resources: [https://guides.himmelfarb.gwu.edu/ResearchDay/poster-design-layout Poster Design &amp;amp; Layout].&lt;br /&gt;
&lt;br /&gt;
After you create the PPT for your poster, request free poster printing from Gelman Library [https://library.gwu.edu/3-d-and-large-format-printing using this form].&lt;br /&gt;
&lt;br /&gt;
Submit your printing request by April 15th.&lt;br /&gt;
&lt;br /&gt;
== Schedule ([https://hivelab.biochemistry.gwu.edu/wiki/2025_Bioinformatics_Symposium#Talk_Titles Talk Titles]) ==&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Time&lt;br /&gt;
!Duration &lt;br /&gt;
!Topic&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Morning Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Registration, introduction, and health-related topics.&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|8:30 - 9:00 AM&lt;br /&gt;
|30 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Registration &amp;amp; coffee&amp;lt;/u&amp;gt;&lt;br /&gt;
Lead: Raechelle McCants, Jewel Dias&lt;br /&gt;
&lt;br /&gt;
* Registration&lt;br /&gt;
* Coffee&lt;br /&gt;
* Poster Setup&lt;br /&gt;
* Slide/AV setup &amp;amp; check&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|9 - 11:00 AM&lt;br /&gt;
|120 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Welcome&amp;lt;/u&amp;gt;&lt;br /&gt;
Rong Li (Chair, Dept. BMM, SMHS)&lt;br /&gt;
&lt;br /&gt;
Alison Hall (Senior Assoc Dean for Res, SMHS)&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Talks (10 mins + questions)&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Session chairs: Anelia Horvath, Raja Mazumder&lt;br /&gt;
|1. Anelia Horvath (Biochemistry)&lt;br /&gt;
2. Ljubica Caldovic (Children’s)&lt;br /&gt;
&lt;br /&gt;
3. Muhammad Rahman (Children’s)&lt;br /&gt;
&lt;br /&gt;
4. Seth Berger (Children’s)&lt;br /&gt;
&lt;br /&gt;
5. Raja Mazumder (Biochemistry)&lt;br /&gt;
&lt;br /&gt;
6. Yi-Wen Chen (Children’s)&lt;br /&gt;
&lt;br /&gt;
7. Aintzane Santaquiteria Gil (Biology, Orti Lab)&lt;br /&gt;
&lt;br /&gt;
8. *Marc Garbey (Neurology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
9. Jane Ulianova&lt;br /&gt;
&lt;br /&gt;
10. Aiste Gulla&lt;br /&gt;
|-&lt;br /&gt;
|11 - 11:15 AM&lt;br /&gt;
|15 min&lt;br /&gt;
|Refreshment Break. &lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|11:15 - 12:30 PM&lt;br /&gt;
|75 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session chairs: Ali Rahnavard, Ljubica Caldovic&lt;br /&gt;
|1. Jo Lynne Rokita (Children’s)&lt;br /&gt;
2. Max Alekseyev (Milken)&lt;br /&gt;
&lt;br /&gt;
3. Erika Hubbard (Crandall lab, Milken)&lt;br /&gt;
&lt;br /&gt;
5. Ali R. Taheriyoun  (Rahnavard Lab, Milken)&lt;br /&gt;
&lt;br /&gt;
6. Hiroki Morizono (Children’s)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;One 4 mins Poster Flash Talk&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Vania Ballesteros Prieto&lt;br /&gt;
|-&lt;br /&gt;
|12:30 - 2 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Lunch and poster session&lt;br /&gt;
Lead: Anelia Horvath, Raechelle McCants, Jewel Dias&lt;br /&gt;
|&#039;&#039;&#039;Poster Judging Committee:&#039;&#039;&#039;&lt;br /&gt;
Anelia Horvath &lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard &lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono &lt;br /&gt;
&lt;br /&gt;
Yi-Wen Chen &lt;br /&gt;
&lt;br /&gt;
Jimmy Saw&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Afternoon Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Breadth of bioinformatics in biological research; IT/security; Training&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|2:00 - 3:30 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session Chairs: Howie Huang, Jimmy Saw, Chen Zeng&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;3:10 PM remarks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Evangeline J. Downie (Associate Dean for Research, CCAS)&lt;br /&gt;
|1. Mohammad Hammas Saeed (Howie Huang Lab, Engineering)&lt;br /&gt;
2. Nan Wu (ECE, Engineering)&lt;br /&gt;
&lt;br /&gt;
3. Aya Zirikly (Computer Science, GW/JHU)&lt;br /&gt;
&lt;br /&gt;
4. Chen Zeng (Physics)&lt;br /&gt;
&lt;br /&gt;
5. Weiqun Peng (Physics)&lt;br /&gt;
&lt;br /&gt;
6. Shekhar Nagar (Jimmy Saw Lab, Biology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Chelcie Puetz&lt;br /&gt;
&lt;br /&gt;
8. Kai Leung (Adam) Wong&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|3: 30 - 4:30 PM&lt;br /&gt;
|60 min&lt;br /&gt;
|Session Chair: Jonathon Keeney.&lt;br /&gt;
Co-chairs: Hiroki Morizono, Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
* 5 min. Introduction: IT, omics support, and related topics&lt;br /&gt;
&lt;br /&gt;
* Questions from audience&lt;br /&gt;
** Round table discussion&lt;br /&gt;
** Careers in bioinformatics&lt;br /&gt;
** Funding opportunities&lt;br /&gt;
*Games&lt;br /&gt;
*Poster prizes&lt;br /&gt;
|Clark Gaylord (Director, Research Technology Services)&lt;br /&gt;
Brian Choi (MFA)&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath (MGPC core/Bioinformatics support)&lt;br /&gt;
&lt;br /&gt;
Jack Villani (GW Genomics Core)&lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard (CBI Analytics)&lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono (Children&#039;s)&lt;br /&gt;
|-&lt;br /&gt;
|4:30 - 6:00 PM&lt;br /&gt;
|&lt;br /&gt;
|Networking event and refreshments&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Keith Crandall&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Talk titles TBD&lt;br /&gt;
&lt;br /&gt;
== Presentation/Discussion Sessions ==&lt;br /&gt;
There will be a Q&amp;amp;A session and a networking event at the end of the workshop.&lt;br /&gt;
&lt;br /&gt;
== Scientific Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder (Symposium Chair), Anelia Horvath, Hiroki Morizono, Ljubica Caldovic, Keith Crandall, Jorge Sepulveda, Howie Huang, Chen Zeng, Jimmy Saw, Clark Gaylord.&lt;br /&gt;
&lt;br /&gt;
== Logistics Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder, Anelia Horvath, Raechelle McCants, Jewel Dias. Student volunteers: Jane, Sofia, Allison, Chloe, Trupri and Lincoln.&lt;br /&gt;
&lt;br /&gt;
== Talk Titles ==&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Department&lt;br /&gt;
!School&lt;br /&gt;
!Title&lt;br /&gt;
|-&lt;br /&gt;
|Jo Lynne Rokita&lt;br /&gt;
|Pediatrics&lt;br /&gt;
|CNH&lt;br /&gt;
|Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
|Erika Hubbard&lt;br /&gt;
|Bioinformatics and Biostatistics&lt;br /&gt;
|SPH&lt;br /&gt;
|Machine Learning to Determine Endotypes of Lupus&lt;br /&gt;
|-&lt;br /&gt;
|Raja Mazumder&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|Integrating Biomedical Knowledgebases and Clinical Data for ML/AI-Powered Insights&lt;br /&gt;
|-&lt;br /&gt;
|Jack Villani&lt;br /&gt;
|GW Genomics Core&lt;br /&gt;
|SPH&lt;br /&gt;
|GW Genomics Core: An Introduction &amp;amp; Overview (panel discussion)&lt;br /&gt;
|-&lt;br /&gt;
| Ayah Zirikly || Computer Science || SEAS/Johns Hopkins University || Developments in NLP and AI for Mental Health: Insights from the Last Decade and Future Directions – A Focus on the CLPsych Workshop&lt;br /&gt;
|-&lt;br /&gt;
| Weiqun Peng || Department of Physics || CCAS || Finding structures and their associated functions in genome wide of profiles of chromatin architecture&lt;br /&gt;
|-&lt;br /&gt;
| Nan Wu || Electrical and Computer Engineering || SEAS || Directed Graph Representation Learning for Circuits, Boolean Networks, and Beyond&lt;br /&gt;
|-&lt;br /&gt;
| Seth Berger || Biochemistry and Molecular Medicine / Pediatrics || SMHS || Blindspots in Clinical Genetic Testing: Integration of Multiomics to Improve Diagnostic Yields&lt;br /&gt;
|-&lt;br /&gt;
| Ali Reza Taheriyoun || Biostatistics and Bioinformatics || SPH || Dynamics of Gut Microbiome and Metabolome of Moderate and Severe Obesity Patients Under Sleeve Gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Yi-Wen Chen || Biochemistry and Molecular Medicine / Pediatrics || SMHS || From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Biological Sciences || CCAS || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
|Dae Young Kim&lt;br /&gt;
|Center for Translational Research&lt;br /&gt;
|CNH&lt;br /&gt;
|mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|AI driven Functional SNV Discovery from long read Single-Cell RNA-Seq Data&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Active Learning of Data Science and Bioinformtics&lt;br /&gt;
|-&lt;br /&gt;
|Max Alekseyev&lt;br /&gt;
|Mathematics / Biostatistics &amp;amp; Bioinformatics&lt;br /&gt;
|CCAS/SPH&lt;br /&gt;
|Bioinformatics Meets Quantum Informatics: from Genome Rearrangements to Weingarten Calculus&lt;br /&gt;
|-&lt;br /&gt;
|Aintzane Santaquiteria Gil&lt;br /&gt;
|Department of Biological Sciences&lt;br /&gt;
|CCAS&lt;br /&gt;
|Using comparative genomics to link genes with convergently evolved traits. &lt;br /&gt;
|-&lt;br /&gt;
|Chen Zeng&lt;br /&gt;
|Department of Physics&lt;br /&gt;
|CCAS&lt;br /&gt;
|Modeling RNA-protein Interactions with network guided machine learning&lt;br /&gt;
|-&lt;br /&gt;
|Mohammad Hammas Saeed&lt;br /&gt;
|Electrical and Computer Engineering&lt;br /&gt;
|SEAS&lt;br /&gt;
|AI for Good: Leveraging Graph-Based Methods and Large Language Models to Address Real-World Challenges&lt;br /&gt;
|-&lt;br /&gt;
|Hiroki Morizono&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Biomedical data resources at Children&#039;s National&lt;br /&gt;
|-&lt;br /&gt;
|Marc Garbey/Henry Kaminski&lt;br /&gt;
|Neurology &amp;amp; Rehabilitation Medicine&lt;br /&gt;
|MFA&lt;br /&gt;
|Moving towards a digital twin for myasthenia gravis &#039;&#039;(tentative title)&#039;&#039;&lt;br /&gt;
|} &lt;br /&gt;
&lt;br /&gt;
== Acknowledgments ==&lt;br /&gt;
&lt;br /&gt;
Sponsors: Dept. of Biochemistry and Molecular Medicine (coffee, refreshments, lunch, poster prizes), IBS (poster boards), Milken Institute School of Public Health (happy hour, poster prizes). &lt;br /&gt;
&lt;br /&gt;
== Contact ==&lt;br /&gt;
&#039;&#039;&#039;For questions about registration, abstract submission or general inquiries, please contact:&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Raja Mazumder: mazumder@gwu.edu&lt;br /&gt;
&lt;br /&gt;
== Poster Presentations ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! Name !! Presentation Title&lt;br /&gt;
|-&lt;br /&gt;
| Sunisha Harish || AI-Driven Drug Response Prediction in Cancer Using Long-Read Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
| Dae Young Kim || mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
| *Vania Ballesteros Prieto || Uncovering the Contributions of Expressed Genetic Variants, Isoforms, and RNA Editing to Tumor Heterogeneity via Long-Read Single-Cell RNA-Seq Analysis&lt;br /&gt;
|-&lt;br /&gt;
| Sarah Tiufekchiev-Grieco || Promoting Resolution of Inflammation as a Potential Therapy for DMD&lt;br /&gt;
|-&lt;br /&gt;
| Karli Gilbert || Machine Learning Models Predict Treatment Outcome from Serum Proteins in Patients with Myasthenia Gravis that received Thymectomy&lt;br /&gt;
|-&lt;br /&gt;
| Reny Mathew || Identification of anti-helminthic drug resistance associated Quantitative trait loci (QTLs) in the canine hookworm, Ancylostoma caninum: A pooled-sequencing approach&lt;br /&gt;
|-&lt;br /&gt;
| Jo Lynne Rokita || Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
| Henry Kaminski || Moving towards a digital twin for myasthenia gravis &lt;br /&gt;
|-&lt;br /&gt;
| Huai Chin Chiang || Single-Cell Transcriptomic and Phenotypic Profiling Reveals T Cell Dysfunction in BRCA1 Mutation Carriers&lt;br /&gt;
|-&lt;br /&gt;
| Lori Krammer || GW-FEAST: a federated ecosystem for data analysis and machine learning&lt;br /&gt;
|-&lt;br /&gt;
| Medha Kurukunda || Analyzing the Use of Artificial Intelligence to Enhance the Identification of Food Insecure Areas in Washington, D.C. &lt;br /&gt;
|-&lt;br /&gt;
| Christie Rose Woodside || Bridging Genomics and Preparedness: Regulatory-Grade Genomics and Quality Control Metrics and Analysis for Emerging and Circulating Avian Influenza in 2024-2025&lt;br /&gt;
|-&lt;br /&gt;
| *Aiste Gulla, MD, PhD || Clinical Outcomes and Long-Term Survival of Pancreatic Cancers by Histological Sub-Type in the Epic Cosmos Database: Results from 2010-2025&lt;br /&gt;
|-&lt;br /&gt;
| *Jane Ulianova || Comparison of alignment performance between the T2T-CHM13 and GRCh38/hg38 reference genome assemblies for RNAseq&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Automated Tracking of Freezing Behavior in Paired House Mice Using DeepLabCut&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Behavioral Bioinformatics for Temporal Analysis of Freezing Behavior in Dyad Mice&lt;br /&gt;
|-&lt;br /&gt;
| Karim Ismat || Generation of a single nuclei RNA sequencing atlas of dysferlin-deficient skeletal muscle &lt;br /&gt;
|-&lt;br /&gt;
| *Kai Leung (Adam) Wong || An Experience of carrying out GPU-accelerated Genomic Analysis on Pegasus&lt;br /&gt;
|-&lt;br /&gt;
| Gabriel Batzli || Defining macrophage heterogeneity in murine skin wounds during inflammation  &lt;br /&gt;
|-&lt;br /&gt;
| Hovhannes Arestakesyan || Recurrent Somatic scSNVs in Single-Cell RNA-Seq: Insights into Tumor Heterogeneity and RNA-Level Variants&lt;br /&gt;
|-&lt;br /&gt;
| Chloe Sachs || Secretome distinguishes spectrum of NF1 associated peripheral nerve sheath tumors&lt;br /&gt;
|-&lt;br /&gt;
| Nikhil Arethiya || A Time-Series Approach to Glucose-Based Participant Classification&lt;br /&gt;
|-&lt;br /&gt;
| Siera Martinez || Hetero-GNN Link Prediction of RNA Editing in Single Cells&lt;br /&gt;
|-&lt;br /&gt;
| Renxi Li || Thirty-day outcomes of infrainguinal bypass surgery with concurrent iliac artery stenting in patients with chronic limb-threatening ischemia &lt;br /&gt;
|-&lt;br /&gt;
| Matthew Mollerus || ResLens: Detecting Antibiotic Resistance Genes with Large Language Models&lt;br /&gt;
|-&lt;br /&gt;
| Parimala  Nagaraj || Cybersecurity at the Intersection of Genomics and Data Science: Securing the Future of Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
| Cristina Fenollar Ferrer || Functional impact of PIP2 on the Serotonin Transporter (SERT)&lt;br /&gt;
|-&lt;br /&gt;
| Ali Taheriyoun || Dynamics of gut microbiome and metabolome of obesity patients under sleeve gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Irene Zohn || Next Generation sequencing approaches to understand developmental defects&lt;br /&gt;
|-&lt;br /&gt;
| Max Alekseyev || Bioinformatics meets Quantum Informatics: from genome rearrangements to Weingarten calculus&lt;br /&gt;
|-&lt;br /&gt;
| Lausanne Lee Oliver || Phylogenetic analysis of novel phages from Hawaiian fumaroles&lt;br /&gt;
|-&lt;br /&gt;
|Mahdi Baghbanzadeh&lt;br /&gt;
|seqLens: optimizing language models for genomic predictions&lt;br /&gt;
|-&lt;br /&gt;
|Dezhao Fu&lt;br /&gt;
|varLens - enhancers genetic testing using language models&lt;br /&gt;
|-&lt;br /&gt;
|Lilly Shaw&lt;br /&gt;
|Uncovering Shared and Unique Biomarkers Across 23 Cancer Types Using The Cancer Genome Atlas (TCGA)&lt;br /&gt;
|-&lt;br /&gt;
|Daniall Masood&lt;br /&gt;
|BiomarkerKB: A Comprehensive Biomarker Knowledgebase&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Active Learning of Data Science and Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
|Urnisha Bhuiyan&lt;br /&gt;
|GlyGen: A Comprehensive Resource for Glycoscience Data Integration and Discovery&lt;br /&gt;
|-&lt;br /&gt;
|Surajit Bhattacharya&lt;br /&gt;
|Redefining Human Airway Biology in Children from The Top Down: Unique Features of the Nasal Airway Epithelium.&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|A Machine Learning Approach to Functional SNV Discovery via Isoform-Aware Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
|Christie Rose Woodside&lt;br /&gt;
|Enhanced QC Metrics for Reference-Grade Genomic Data&lt;br /&gt;
|-&lt;br /&gt;
|Yi-Wen Chen&lt;br /&gt;
|From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
|Pia Sen&lt;br /&gt;
|Investigating the role of bacteriophage diversity in Hawaiian steam vent microbial communities&lt;br /&gt;
|-&lt;br /&gt;
|Emily Williams&lt;br /&gt;
|TRIM28 regulates endogenous retroviral element expression in prostate cancer&lt;br /&gt;
|-&lt;br /&gt;
|Cadina Powell&lt;br /&gt;
|Be Smart And Use Smartphones for Telemedicine: Narrative Review &lt;br /&gt;
|-&lt;br /&gt;
|Xinyang Zhang&lt;br /&gt;
|Meta-analytic microbiome target discovery for immune checkpoint inhibitor response in advanced melanoma&lt;br /&gt;
|-&lt;br /&gt;
|Cyrus Chun Hong Au Yeung&lt;br /&gt;
|Leveraging Large Language Models for Scalable Glycan-Disease Relation Extraction&lt;br /&gt;
|-&lt;br /&gt;
|Ashley Garrison&lt;br /&gt;
|Gut Microbiome Composition as an Indicator of Preclinical Alzheimer&#039;s Disease&lt;br /&gt;
|-&lt;br /&gt;
|*Chelcie Puetz&lt;br /&gt;
|Combined Neuroinflammatory and Neurovascular Molecular Screening for Early Detection of Blood-Brain Barrier Dysfunction in Patients with Traumatic Brain Injury&lt;br /&gt;
|-&lt;br /&gt;
|Ranojoy Chatterjee&lt;br /&gt;
|cellSight: Enhanced Single-Cell Analysis Platform with Comprehensive Cell Communication Analysis.&lt;br /&gt;
|-&lt;br /&gt;
|Ishita Chopra&lt;br /&gt;
|Characterizing Cell Interaction and Gene Expression&lt;br /&gt;
|-&lt;br /&gt;
|Luke Johnson&lt;br /&gt;
|scSNViz: a user-friendly R package for visualization and analysis of cell specific expressed SNVs&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Flash talks&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=822</id>
		<title>2025 Bioinformatics Symposium</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=822"/>
		<updated>2025-04-28T18:29:33Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Schedule (Talk Titles) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{DISPLAYTITLE: 2025 Bioinformatics Symposium}}&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title&#039;&#039;&#039;: 2025 Inaugural GW Bioinformatics Symposium &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;When&#039;&#039;&#039;: April 29th 2025, 9am to 6pm&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Venue&#039;&#039;&#039;: Talks: SEH B1220. Refreshments, lunch, and posters: Green wall area (SEH B1167)&lt;br /&gt;
&lt;br /&gt;
Join us for a full-day, all-hands GW Bioinformatics Symposium featuring posters, talks, and roundtable discussions. Open to GW students, staff, and faculty! &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;NOTE: We have received nearly 130 registrations, while SEH B1220 has a seating capacity of 90. Be sure to arrive early to secure a spot. For those who cannot be accommodated in the main room, we’ve arranged an overflow space in GWCC 8040 Conference Room, where the sessions will be live-streamed.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;REGISTRATION IS CLOSED. Event Registration:&#039;&#039;&#039; Space is limited. Please register by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; for the event through this &#039;&#039;&#039;&amp;lt;big&amp;gt;[https://docs.google.com/forms/d/e/1FAIpQLSd_VfXIL_S59cVgOBxx_0b0E-wMBphWbBVuK6-JOSm9-cqiJA/viewform?usp=sharing form]&amp;lt;/big&amp;gt;&#039;&#039;&#039;. If you encounter any issues, please email Raja Mazumder (mazumder@gwu.edu) your name and the lab you are representing and he will register you.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;ABSTRACT SUBMISSION IS CLOSED. Abstract submission:&#039;&#039;&#039; Please submit your abstract by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; through [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC &#039;&#039;&#039;&amp;lt;big&amp;gt;REDCap&amp;lt;/big&amp;gt;&#039;&#039;&#039;]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;OPT-OUT LUNCH PICKUP.&#039;&#039;&#039; We’re excited by the overwhelming response. Almost 130 participants from nearly all GW schools have signed up. Please note that seating in the main room is limited to the first 90 attendees. We encourage you to arrive early to secure a seat. For those who arrive later, we’re working to set up a spillover room with TV monitors so everyone can still follow the sessions. Lunch will be provided for all attendees who plan to stay for most of the day. If you’re attending only briefly and do not plan to pick up lunch, please let us know to help minimize food waste. You can either fill out this [https://docs.google.com/forms/d/e/1FAIpQLScWaw6JFsbtQgcdsk9XCZQMJ0mMb3Z0UR5uHZnTZ1DgBYJlDQ/viewform?usp=header form] or email mazumder@gwu.edu. We appreciate your understanding and cooperation.&lt;br /&gt;
&lt;br /&gt;
== Abstract/Overview ==&lt;br /&gt;
&lt;br /&gt;
The GW Bioinformatics Symposium on April 29, 2025, a full-day event is designed to bring together faculty, staff, and student bioinformatics researchers and also researchers who use bioinformatics in their labs,  from across GW to foster networking, collaboration, and knowledge exchange. The symposium will feature talks from GW labs that focus on bioinformatics and related research, poster presentations, roundtable discussions, and sessions on resources, funding and career opportunities in bioinformatics. Topics will span bioinformatics, computational methods, IT/security, and training, highlighting the breadth of bioinformatics in various GW schools and centers. This event offers a unique opportunity for attendees to engage in meaningful discussions, explore potential collaborations, and stay informed about the latest advancements in the field. The symposium is a great way to connect with the GW bioinformatics community.&lt;br /&gt;
&lt;br /&gt;
== Poster ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Participants are invited to submit a brief poster abstract by March 31st at 11:59 PM (ET). We encourage submissions from bioinformatics labs and also other labs that do not primarily focus on bioinformatics but have research relevant to bioinformatics topics. A select few will be chosen for lightning talks. Due to the limited number of poster boards, priority will be given to ensure each lab/group has at least one designated board. If the number of submitted poster abstracts exceeds the available poster boards, additional posters may be printed as flyers with QR codes, enabling attendees to scan, view, or download them electronically. &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Size:&#039;&#039;&#039; Poster sizes can be up to 48 (width) x 36 (height) inches.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Abstract Submission Portal:&#039;&#039;&#039; [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC Click here].&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Printing Instructions&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Download the poster template from GW Research Day Resources: [https://guides.himmelfarb.gwu.edu/ResearchDay/poster-design-layout Poster Design &amp;amp; Layout].&lt;br /&gt;
&lt;br /&gt;
After you create the PPT for your poster, request free poster printing from Gelman Library [https://library.gwu.edu/3-d-and-large-format-printing using this form].&lt;br /&gt;
&lt;br /&gt;
Submit your printing request by April 15th.&lt;br /&gt;
&lt;br /&gt;
== Schedule ([https://hivelab.biochemistry.gwu.edu/wiki/2025_Bioinformatics_Symposium#Talk_Titles Talk Titles]) ==&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Time&lt;br /&gt;
!Duration &lt;br /&gt;
!Topic&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Morning Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Registration, introduction, and health-related topics.&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|8:30 - 9:00 AM&lt;br /&gt;
|30 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Registration &amp;amp; coffee&amp;lt;/u&amp;gt;&lt;br /&gt;
Lead: Raechelle McCants, Jewel Dias&lt;br /&gt;
&lt;br /&gt;
* Registration&lt;br /&gt;
* Coffee&lt;br /&gt;
* Poster Setup&lt;br /&gt;
* Slide/AV setup &amp;amp; check&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|9 - 11:00 AM&lt;br /&gt;
|120 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Welcome&amp;lt;/u&amp;gt;&lt;br /&gt;
Rong Li (Chair, Dept. BMM, SMHS)&lt;br /&gt;
&lt;br /&gt;
Alison Hall (Senior Assoc Dean for Res, SMHS)&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Talks (10 mins + questions)&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Session chairs: Anelia Horvath, Raja Mazumder&lt;br /&gt;
|1. Anelia Horvath (Biochemistry)&lt;br /&gt;
2. Ljubica Caldovic (Children’s)&lt;br /&gt;
&lt;br /&gt;
3. Muhammad Rahman (Children’s)&lt;br /&gt;
&lt;br /&gt;
4. Seth Berger (Children’s)&lt;br /&gt;
&lt;br /&gt;
5. Raja Mazumder (Biochemistry)&lt;br /&gt;
&lt;br /&gt;
6. Yi-Wen Chen (Children’s)&lt;br /&gt;
&lt;br /&gt;
7. Aintzane Santaquiteria Gil (Biology, Orti Lab)&lt;br /&gt;
&lt;br /&gt;
8. *Marc Garbey (Neurology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
9. Jane Ulianova&lt;br /&gt;
&lt;br /&gt;
10. Aiste Gulla&lt;br /&gt;
|-&lt;br /&gt;
|11 - 11:15 AM&lt;br /&gt;
|15 min&lt;br /&gt;
|Refreshment Break. &lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|11:15 - 12:30 PM&lt;br /&gt;
|75 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session chairs: Ali Rahnavard, Ljubica Caldovic&lt;br /&gt;
|1. Jo Lynne Rokita (Children’s)&lt;br /&gt;
2. Max Alekseyev (Milken)&lt;br /&gt;
&lt;br /&gt;
3. Erika Hubbard (Crandall lab, Milken)&lt;br /&gt;
&lt;br /&gt;
5. Ali R. Taheriyoun  (Rahnavard Lab, Milken)&lt;br /&gt;
&lt;br /&gt;
6. Hiroki Morizono (Children’s)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;One 4 mins Poster Flash Talk&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Vania Ballesteros Prieto&lt;br /&gt;
|-&lt;br /&gt;
|12:30 - 2 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Lunch and poster session&lt;br /&gt;
Lead: Anelia Horvath, Raechelle McCants, Jewel Dias&lt;br /&gt;
|&#039;&#039;&#039;Poster Judging Committee:&#039;&#039;&#039;&lt;br /&gt;
Anelia Horvath &lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard &lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono &lt;br /&gt;
&lt;br /&gt;
Yi-Wen Chen &lt;br /&gt;
&lt;br /&gt;
Jimmy Saw&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Afternoon Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Breadth of bioinformatics in biological research; IT/security; Training&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|2:00 - 3:30 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session Chairs: Howie Huang, Jimmy Saw, Chen Zeng&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;3:10 PM remarks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Evangeline J. Downie (Associate Dean for Research, CCAS)&lt;br /&gt;
|1. Mohammad Hammas Saeed (Howie Huang Lab, Engineering)&lt;br /&gt;
2. Nan Wu (ECE, Engineering)&lt;br /&gt;
&lt;br /&gt;
3. Aya Zirikly (Computer Science, GW/JHU)&lt;br /&gt;
&lt;br /&gt;
4. Chen Zeng (Physics)&lt;br /&gt;
&lt;br /&gt;
5. Weiqun Peng (Physics)&lt;br /&gt;
&lt;br /&gt;
6. Shekhar Nagar (Jimmy Saw Lab, Biology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Chelcie Puetz&lt;br /&gt;
&lt;br /&gt;
8. Kai Leung (Adam) Wong&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|3: 30 - 4:30 PM&lt;br /&gt;
|60 min&lt;br /&gt;
|Session Chair: Jonathon Keeney.&lt;br /&gt;
Co-chairs: Hiroki Morizono, Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
* 5 min. Introduction: IT, omics support, and related topics&lt;br /&gt;
&lt;br /&gt;
* Questions from audience&lt;br /&gt;
** Round table discussion&lt;br /&gt;
** Careers in bioinformatics&lt;br /&gt;
** Funding opportunities&lt;br /&gt;
*Games&lt;br /&gt;
*Poster prizes&lt;br /&gt;
|Clark Gaylord (Director, Research Technology Services)&lt;br /&gt;
Brian Choi (MFA)&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath (MGPC core/Bioinformatics support)&lt;br /&gt;
&lt;br /&gt;
Jack Villani (GW Genomics Core)&lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard (CBI Analytics)&lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono (Children&#039;s)&lt;br /&gt;
|-&lt;br /&gt;
|4:30 - 6:00 PM&lt;br /&gt;
|&lt;br /&gt;
|Networking event and refreshments&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Keith Crandall&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Talk titles TBD&lt;br /&gt;
&lt;br /&gt;
== Presentation/Discussion Sessions ==&lt;br /&gt;
There will be a Q&amp;amp;A session and a networking event at the end of the workshop.&lt;br /&gt;
&lt;br /&gt;
== Scientific Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder (Symposium Chair), Anelia Horvath, Hiroki Morizono, Ljubica Caldovic, Keith Crandall, Jorge Sepulveda, Howie Huang, Chen Zeng, Jimmy Saw, Clark Gaylord.&lt;br /&gt;
&lt;br /&gt;
== Logistics Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder, Anelia Horvath, Raechelle McCants, Jewel Das. Student volunteers: Jane, Sofia, Allison, Chloe, Trupri and Lincoln.&lt;br /&gt;
&lt;br /&gt;
== Talk Titles ==&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Department&lt;br /&gt;
!School&lt;br /&gt;
!Title&lt;br /&gt;
|-&lt;br /&gt;
|Jo Lynne Rokita&lt;br /&gt;
|Pediatrics&lt;br /&gt;
|CNH&lt;br /&gt;
|Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
|Erika Hubbard&lt;br /&gt;
|Bioinformatics and Biostatistics&lt;br /&gt;
|SPH&lt;br /&gt;
|Machine Learning to Determine Endotypes of Lupus&lt;br /&gt;
|-&lt;br /&gt;
|Raja Mazumder&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|Integrating Biomedical Knowledgebases and Clinical Data for ML/AI-Powered Insights&lt;br /&gt;
|-&lt;br /&gt;
|Jack Villani&lt;br /&gt;
|GW Genomics Core&lt;br /&gt;
|SPH&lt;br /&gt;
|GW Genomics Core: An Introduction &amp;amp; Overview (panel discussion)&lt;br /&gt;
|-&lt;br /&gt;
| Ayah Zirikly || Computer Science || SEAS/Johns Hopkins University || Developments in NLP and AI for Mental Health: Insights from the Last Decade and Future Directions – A Focus on the CLPsych Workshop&lt;br /&gt;
|-&lt;br /&gt;
| Weiqun Peng || Department of Physics || CCAS || Finding structures and their associated functions in genome wide of profiles of chromatin architecture&lt;br /&gt;
|-&lt;br /&gt;
| Nan Wu || Electrical and Computer Engineering || SEAS || Directed Graph Representation Learning for Circuits, Boolean Networks, and Beyond&lt;br /&gt;
|-&lt;br /&gt;
| Seth Berger || Biochemistry and Molecular Medicine / Pediatrics || SMHS || Blindspots in Clinical Genetic Testing: Integration of Multiomics to Improve Diagnostic Yields&lt;br /&gt;
|-&lt;br /&gt;
| Ali Reza Taheriyoun || Biostatistics and Bioinformatics || SPH || Dynamics of Gut Microbiome and Metabolome of Moderate and Severe Obesity Patients Under Sleeve Gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Yi-Wen Chen || Biochemistry and Molecular Medicine / Pediatrics || SMHS || From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Biological Sciences || CCAS || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
|Dae Young Kim&lt;br /&gt;
|Center for Translational Research&lt;br /&gt;
|CNH&lt;br /&gt;
|mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|AI driven Functional SNV Discovery from long read Single-Cell RNA-Seq Data&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Active Learning of Data Science and Bioinformtics&lt;br /&gt;
|-&lt;br /&gt;
|Max Alekseyev&lt;br /&gt;
|Mathematics / Biostatistics &amp;amp; Bioinformatics&lt;br /&gt;
|CCAS/SPH&lt;br /&gt;
|Bioinformatics Meets Quantum Informatics: from Genome Rearrangements to Weingarten Calculus&lt;br /&gt;
|-&lt;br /&gt;
|Aintzane Santaquiteria Gil&lt;br /&gt;
|Department of Biological Sciences&lt;br /&gt;
|CCAS&lt;br /&gt;
|Using comparative genomics to link genes with convergently evolved traits. &lt;br /&gt;
|-&lt;br /&gt;
|Chen Zeng&lt;br /&gt;
|Department of Physics&lt;br /&gt;
|CCAS&lt;br /&gt;
|Modeling RNA-protein Interactions with network guided machine learning&lt;br /&gt;
|-&lt;br /&gt;
|Mohammad Hammas Saeed&lt;br /&gt;
|Electrical and Computer Engineering&lt;br /&gt;
|SEAS&lt;br /&gt;
|AI for Good: Leveraging Graph-Based Methods and Large Language Models to Address Real-World Challenges&lt;br /&gt;
|-&lt;br /&gt;
|Hiroki Morizono&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Biomedical data resources at Children&#039;s National&lt;br /&gt;
|-&lt;br /&gt;
|Marc Garbey/Henry Kaminski&lt;br /&gt;
|Neurology &amp;amp; Rehabilitation Medicine&lt;br /&gt;
|MFA&lt;br /&gt;
|Moving towards a digital twin for myasthenia gravis &#039;&#039;(tentative title)&#039;&#039;&lt;br /&gt;
|} &lt;br /&gt;
&lt;br /&gt;
== Acknowledgments ==&lt;br /&gt;
&lt;br /&gt;
Sponsors: Dept. of Biochemistry and Molecular Medicine (coffee, refreshments, lunch, poster prizes), IBS (poster boards), Milken Institute School of Public Health (happy hour, poster prizes). &lt;br /&gt;
&lt;br /&gt;
== Contact ==&lt;br /&gt;
&#039;&#039;&#039;For questions about registration, abstract submission or general inquiries, please contact:&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Raja Mazumder: mazumder@gwu.edu&lt;br /&gt;
&lt;br /&gt;
== Poster Presentations ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! Name !! Presentation Title&lt;br /&gt;
|-&lt;br /&gt;
| Sunisha Harish || AI-Driven Drug Response Prediction in Cancer Using Long-Read Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
| Dae Young Kim || mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
| *Vania Ballesteros Prieto || Uncovering the Contributions of Expressed Genetic Variants, Isoforms, and RNA Editing to Tumor Heterogeneity via Long-Read Single-Cell RNA-Seq Analysis&lt;br /&gt;
|-&lt;br /&gt;
| Sarah Tiufekchiev-Grieco || Promoting Resolution of Inflammation as a Potential Therapy for DMD&lt;br /&gt;
|-&lt;br /&gt;
| Karli Gilbert || Machine Learning Models Predict Treatment Outcome from Serum Proteins in Patients with Myasthenia Gravis that received Thymectomy&lt;br /&gt;
|-&lt;br /&gt;
| Reny Mathew || Identification of anti-helminthic drug resistance associated Quantitative trait loci (QTLs) in the canine hookworm, Ancylostoma caninum: A pooled-sequencing approach&lt;br /&gt;
|-&lt;br /&gt;
| Jo Lynne Rokita || Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
| Henry Kaminski || Moving towards a digital twin for myasthenia gravis &lt;br /&gt;
|-&lt;br /&gt;
| Huai Chin Chiang || Single-Cell Transcriptomic and Phenotypic Profiling Reveals T Cell Dysfunction in BRCA1 Mutation Carriers&lt;br /&gt;
|-&lt;br /&gt;
| Lori Krammer || GW-FEAST: a federated ecosystem for data analysis and machine learning&lt;br /&gt;
|-&lt;br /&gt;
| Medha Kurukunda || Analyzing the Use of Artificial Intelligence to Enhance the Identification of Food Insecure Areas in Washington, D.C. &lt;br /&gt;
|-&lt;br /&gt;
| Christie Rose Woodside || Bridging Genomics and Preparedness: Regulatory-Grade Genomics and Quality Control Metrics and Analysis for Emerging and Circulating Avian Influenza in 2024-2025&lt;br /&gt;
|-&lt;br /&gt;
| *Aiste Gulla, MD, PhD || Clinical Outcomes and Long-Term Survival of Pancreatic Cancers by Histological Sub-Type in the Epic Cosmos Database: Results from 2010-2025&lt;br /&gt;
|-&lt;br /&gt;
| *Jane Ulianova || Comparison of alignment performance between the T2T-CHM13 and GRCh38/hg38 reference genome assemblies for RNAseq&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Automated Tracking of Freezing Behavior in Paired House Mice Using DeepLabCut&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Behavioral Bioinformatics for Temporal Analysis of Freezing Behavior in Dyad Mice&lt;br /&gt;
|-&lt;br /&gt;
| Karim Ismat || Generation of a single nuclei RNA sequencing atlas of dysferlin-deficient skeletal muscle &lt;br /&gt;
|-&lt;br /&gt;
| *Kai Leung (Adam) Wong || An Experience of carrying out GPU-accelerated Genomic Analysis on Pegasus&lt;br /&gt;
|-&lt;br /&gt;
| Gabriel Batzli || Defining macrophage heterogeneity in murine skin wounds during inflammation  &lt;br /&gt;
|-&lt;br /&gt;
| Hovhannes Arestakesyan || Recurrent Somatic scSNVs in Single-Cell RNA-Seq: Insights into Tumor Heterogeneity and RNA-Level Variants&lt;br /&gt;
|-&lt;br /&gt;
| Chloe Sachs || Secretome distinguishes spectrum of NF1 associated peripheral nerve sheath tumors&lt;br /&gt;
|-&lt;br /&gt;
| Nikhil Arethiya || A Time-Series Approach to Glucose-Based Participant Classification&lt;br /&gt;
|-&lt;br /&gt;
| Siera Martinez || Hetero-GNN Link Prediction of RNA Editing in Single Cells&lt;br /&gt;
|-&lt;br /&gt;
| Renxi Li || Thirty-day outcomes of infrainguinal bypass surgery with concurrent iliac artery stenting in patients with chronic limb-threatening ischemia &lt;br /&gt;
|-&lt;br /&gt;
| Matthew Mollerus || ResLens: Detecting Antibiotic Resistance Genes with Large Language Models&lt;br /&gt;
|-&lt;br /&gt;
| Parimala  Nagaraj || Cybersecurity at the Intersection of Genomics and Data Science: Securing the Future of Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
| Cristina Fenollar Ferrer || Functional impact of PIP2 on the Serotonin Transporter (SERT)&lt;br /&gt;
|-&lt;br /&gt;
| Ali Taheriyoun || Dynamics of gut microbiome and metabolome of obesity patients under sleeve gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Irene Zohn || Next Generation sequencing approaches to understand developmental defects&lt;br /&gt;
|-&lt;br /&gt;
| Max Alekseyev || Bioinformatics meets Quantum Informatics: from genome rearrangements to Weingarten calculus&lt;br /&gt;
|-&lt;br /&gt;
| Lausanne Lee Oliver || Phylogenetic analysis of novel phages from Hawaiian fumaroles&lt;br /&gt;
|-&lt;br /&gt;
|Mahdi Baghbanzadeh&lt;br /&gt;
|seqLens: optimizing language models for genomic predictions&lt;br /&gt;
|-&lt;br /&gt;
|Dezhao Fu&lt;br /&gt;
|varLens - enhancers genetic testing using language models&lt;br /&gt;
|-&lt;br /&gt;
|Lilly Shaw&lt;br /&gt;
|Uncovering Shared and Unique Biomarkers Across 23 Cancer Types Using The Cancer Genome Atlas (TCGA)&lt;br /&gt;
|-&lt;br /&gt;
|Daniall Masood&lt;br /&gt;
|BiomarkerKB: A Comprehensive Biomarker Knowledgebase&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Active Learning of Data Science and Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
|Urnisha Bhuiyan&lt;br /&gt;
|GlyGen: A Comprehensive Resource for Glycoscience Data Integration and Discovery&lt;br /&gt;
|-&lt;br /&gt;
|Surajit Bhattacharya&lt;br /&gt;
|Redefining Human Airway Biology in Children from The Top Down: Unique Features of the Nasal Airway Epithelium.&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|A Machine Learning Approach to Functional SNV Discovery via Isoform-Aware Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
|Christie Rose Woodside&lt;br /&gt;
|Enhanced QC Metrics for Reference-Grade Genomic Data&lt;br /&gt;
|-&lt;br /&gt;
|Yi-Wen Chen&lt;br /&gt;
|From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
|Pia Sen&lt;br /&gt;
|Investigating the role of bacteriophage diversity in Hawaiian steam vent microbial communities&lt;br /&gt;
|-&lt;br /&gt;
|Emily Williams&lt;br /&gt;
|TRIM28 regulates endogenous retroviral element expression in prostate cancer&lt;br /&gt;
|-&lt;br /&gt;
|Cadina Powell&lt;br /&gt;
|Be Smart And Use Smartphones for Telemedicine: Narrative Review &lt;br /&gt;
|-&lt;br /&gt;
|Xinyang Zhang&lt;br /&gt;
|Meta-analytic microbiome target discovery for immune checkpoint inhibitor response in advanced melanoma&lt;br /&gt;
|-&lt;br /&gt;
|Cyrus Chun Hong Au Yeung&lt;br /&gt;
|Leveraging Large Language Models for Scalable Glycan-Disease Relation Extraction&lt;br /&gt;
|-&lt;br /&gt;
|Ashley Garrison&lt;br /&gt;
|Gut Microbiome Composition as an Indicator of Preclinical Alzheimer&#039;s Disease&lt;br /&gt;
|-&lt;br /&gt;
|*Chelcie Puetz&lt;br /&gt;
|Combined Neuroinflammatory and Neurovascular Molecular Screening for Early Detection of Blood-Brain Barrier Dysfunction in Patients with Traumatic Brain Injury&lt;br /&gt;
|-&lt;br /&gt;
|Ranojoy Chatterjee&lt;br /&gt;
|cellSight: Enhanced Single-Cell Analysis Platform with Comprehensive Cell Communication Analysis.&lt;br /&gt;
|-&lt;br /&gt;
|Ishita Chopra&lt;br /&gt;
|Characterizing Cell Interaction and Gene Expression&lt;br /&gt;
|-&lt;br /&gt;
|Luke Johnson&lt;br /&gt;
|scSNViz: a user-friendly R package for visualization and analysis of cell specific expressed SNVs&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Flash talks&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=821</id>
		<title>2025 Bioinformatics Symposium</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=821"/>
		<updated>2025-04-28T18:28:07Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Schedule (Talk Titles) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{DISPLAYTITLE: 2025 Bioinformatics Symposium}}&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title&#039;&#039;&#039;: 2025 Inaugural GW Bioinformatics Symposium &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;When&#039;&#039;&#039;: April 29th 2025, 9am to 6pm&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Venue&#039;&#039;&#039;: Talks: SEH B1220. Refreshments, lunch, and posters: Green wall area (SEH B1167)&lt;br /&gt;
&lt;br /&gt;
Join us for a full-day, all-hands GW Bioinformatics Symposium featuring posters, talks, and roundtable discussions. Open to GW students, staff, and faculty! &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;NOTE: We have received nearly 130 registrations, while SEH B1220 has a seating capacity of 90. Be sure to arrive early to secure a spot. For those who cannot be accommodated in the main room, we’ve arranged an overflow space in GWCC 8040 Conference Room, where the sessions will be live-streamed.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;REGISTRATION IS CLOSED. Event Registration:&#039;&#039;&#039; Space is limited. Please register by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; for the event through this &#039;&#039;&#039;&amp;lt;big&amp;gt;[https://docs.google.com/forms/d/e/1FAIpQLSd_VfXIL_S59cVgOBxx_0b0E-wMBphWbBVuK6-JOSm9-cqiJA/viewform?usp=sharing form]&amp;lt;/big&amp;gt;&#039;&#039;&#039;. If you encounter any issues, please email Raja Mazumder (mazumder@gwu.edu) your name and the lab you are representing and he will register you.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;ABSTRACT SUBMISSION IS CLOSED. Abstract submission:&#039;&#039;&#039; Please submit your abstract by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; through [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC &#039;&#039;&#039;&amp;lt;big&amp;gt;REDCap&amp;lt;/big&amp;gt;&#039;&#039;&#039;]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;OPT-OUT LUNCH PICKUP.&#039;&#039;&#039; We’re excited by the overwhelming response. Almost 130 participants from nearly all GW schools have signed up. Please note that seating in the main room is limited to the first 90 attendees. We encourage you to arrive early to secure a seat. For those who arrive later, we’re working to set up a spillover room with TV monitors so everyone can still follow the sessions. Lunch will be provided for all attendees who plan to stay for most of the day. If you’re attending only briefly and do not plan to pick up lunch, please let us know to help minimize food waste. You can either fill out this [https://docs.google.com/forms/d/e/1FAIpQLScWaw6JFsbtQgcdsk9XCZQMJ0mMb3Z0UR5uHZnTZ1DgBYJlDQ/viewform?usp=header form] or email mazumder@gwu.edu. We appreciate your understanding and cooperation.&lt;br /&gt;
&lt;br /&gt;
== Abstract/Overview ==&lt;br /&gt;
&lt;br /&gt;
The GW Bioinformatics Symposium on April 29, 2025, a full-day event is designed to bring together faculty, staff, and student bioinformatics researchers and also researchers who use bioinformatics in their labs,  from across GW to foster networking, collaboration, and knowledge exchange. The symposium will feature talks from GW labs that focus on bioinformatics and related research, poster presentations, roundtable discussions, and sessions on resources, funding and career opportunities in bioinformatics. Topics will span bioinformatics, computational methods, IT/security, and training, highlighting the breadth of bioinformatics in various GW schools and centers. This event offers a unique opportunity for attendees to engage in meaningful discussions, explore potential collaborations, and stay informed about the latest advancements in the field. The symposium is a great way to connect with the GW bioinformatics community.&lt;br /&gt;
&lt;br /&gt;
== Poster ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Participants are invited to submit a brief poster abstract by March 31st at 11:59 PM (ET). We encourage submissions from bioinformatics labs and also other labs that do not primarily focus on bioinformatics but have research relevant to bioinformatics topics. A select few will be chosen for lightning talks. Due to the limited number of poster boards, priority will be given to ensure each lab/group has at least one designated board. If the number of submitted poster abstracts exceeds the available poster boards, additional posters may be printed as flyers with QR codes, enabling attendees to scan, view, or download them electronically. &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Size:&#039;&#039;&#039; Poster sizes can be up to 48 (width) x 36 (height) inches.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Abstract Submission Portal:&#039;&#039;&#039; [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC Click here].&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Printing Instructions&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Download the poster template from GW Research Day Resources: [https://guides.himmelfarb.gwu.edu/ResearchDay/poster-design-layout Poster Design &amp;amp; Layout].&lt;br /&gt;
&lt;br /&gt;
After you create the PPT for your poster, request free poster printing from Gelman Library [https://library.gwu.edu/3-d-and-large-format-printing using this form].&lt;br /&gt;
&lt;br /&gt;
Submit your printing request by April 15th.&lt;br /&gt;
&lt;br /&gt;
== Schedule ([https://hivelab.biochemistry.gwu.edu/wiki/2025_Bioinformatics_Symposium#Talk_Titles Talk Titles]) ==&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Time&lt;br /&gt;
!Duration &lt;br /&gt;
!Topic&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Morning Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Registration, introduction, and health-related topics.&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|8:30 - 9:00 AM&lt;br /&gt;
|30 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Registration &amp;amp; coffee&amp;lt;/u&amp;gt;&lt;br /&gt;
Lead: Raechelle McCants, Jewel Dias&lt;br /&gt;
&lt;br /&gt;
* Registration&lt;br /&gt;
* Coffee&lt;br /&gt;
* Poster Setup&lt;br /&gt;
* Slide/AV setup &amp;amp; check&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|9 - 11:00 AM&lt;br /&gt;
|120 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Welcome&amp;lt;/u&amp;gt;&lt;br /&gt;
Rong Li (Chair, Dept. BMM, SMHS)&lt;br /&gt;
&lt;br /&gt;
Alison Hall (Senior Assoc Dean for Res, SMHS)&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Talks (10 mins + questions)&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Session chairs: Anelia Horvath, Raja Mazumder&lt;br /&gt;
|1. Anelia Horvath (Biochemistry)&lt;br /&gt;
2. Ljubica Caldovic (Children’s)&lt;br /&gt;
&lt;br /&gt;
3. Muhammad Rahman (Children’s)&lt;br /&gt;
&lt;br /&gt;
4. Seth Berger (Children’s)&lt;br /&gt;
&lt;br /&gt;
5. Raja Mazumder (Biochemistry)&lt;br /&gt;
&lt;br /&gt;
6. Yi-Wen Chen (Children’s)&lt;br /&gt;
&lt;br /&gt;
7. Aintzane Santaquiteria Gil (Biology, Orti Lab)&lt;br /&gt;
&lt;br /&gt;
8. *Marc Garbey (Neurology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
9. Jane Ulianova&lt;br /&gt;
&lt;br /&gt;
10. Aiste Gulla&lt;br /&gt;
|-&lt;br /&gt;
|11 - 11:15 AM&lt;br /&gt;
|15 min&lt;br /&gt;
|Refreshment Break. &lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|11:15 - 12:30 PM&lt;br /&gt;
|75 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session chairs: Ali Rahnavard, Ljubica Caldovic&lt;br /&gt;
|1. Jo Lynne Rokita (Children’s)&lt;br /&gt;
2. Max Alekseyev (Milken)&lt;br /&gt;
&lt;br /&gt;
3. Erika Hubbard (Crandall lab, Milken)&lt;br /&gt;
&lt;br /&gt;
5. Ali R. Taheriyoun  (Rahnavard Lab, Milken)&lt;br /&gt;
&lt;br /&gt;
6. Hiroki Morizono (Children’s)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;One 4 mins Poster Flash Talk&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Vania Ballesteros Prieto&lt;br /&gt;
|-&lt;br /&gt;
|12:30 - 2 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Lunch and poster session&lt;br /&gt;
Lead: Anelia Horvath, Raechelle McCants, Jewel Dias&lt;br /&gt;
|&#039;&#039;&#039;Poster Judging Committee:&#039;&#039;&#039;&lt;br /&gt;
Anelia Horvath &lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard &lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono &lt;br /&gt;
&lt;br /&gt;
Yi-Wen Chen &lt;br /&gt;
&lt;br /&gt;
Jimmy Saw&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Afternoon Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Breadth of bioinformatics in biological research; IT/security; Training&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|2:00 - 3:30 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session Chairs: Howie Huang, Jimmy Saw, Chen Zeng&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;3:10 PM remarks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Evangeline J. Downie (Associate Dean for Research, CCAS)&lt;br /&gt;
|1. Mohammad Hammas Saeed (Howie Huang Lab, Engineering)&lt;br /&gt;
2. Nan Wu (ECE, Engineering)&lt;br /&gt;
&lt;br /&gt;
3. Aya Zirikly (Computer Science, GW/JHU)&lt;br /&gt;
&lt;br /&gt;
4. Chen Zeng (Physics)&lt;br /&gt;
&lt;br /&gt;
5. Weiqun Peng (Physics)&lt;br /&gt;
&lt;br /&gt;
6. Shekhar Nagar (Jimmy Saw Lab, Biology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Chelcie Puetz&lt;br /&gt;
&lt;br /&gt;
8. Kai Leung (Adam) Wong&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|3: 30 - 4:30 PM&lt;br /&gt;
|60 min&lt;br /&gt;
|Session Chair: Jonathon Keeney.&lt;br /&gt;
Co-chairs: Hiroki Morizono, Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
* 5 min. Introduction: IT, omics support, and related topics&lt;br /&gt;
&lt;br /&gt;
* Questions from audience&lt;br /&gt;
** Round table discussion&lt;br /&gt;
** Careers in bioinformatics&lt;br /&gt;
** Funding opportunities&lt;br /&gt;
*Games&lt;br /&gt;
|Clark Gaylord (Director, Research Technology Services)&lt;br /&gt;
Brian Choi (MFA)&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath (MGPC core/Bioinformatics support)&lt;br /&gt;
&lt;br /&gt;
Jack Villani (GW Genomics Core)&lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard (CBI Analytics)&lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono (Children&#039;s)&lt;br /&gt;
|-&lt;br /&gt;
|4:30 - 6:00 PM&lt;br /&gt;
|&lt;br /&gt;
|Networking event, poster prizes, and refreshments&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Keith Crandall&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Talk titles TBD&lt;br /&gt;
&lt;br /&gt;
== Presentation/Discussion Sessions ==&lt;br /&gt;
There will be a Q&amp;amp;A session and a networking event at the end of the workshop.&lt;br /&gt;
&lt;br /&gt;
== Scientific Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder (Symposium Chair), Anelia Horvath, Hiroki Morizono, Ljubica Caldovic, Keith Crandall, Jorge Sepulveda, Howie Huang, Chen Zeng, Jimmy Saw, Clark Gaylord.&lt;br /&gt;
&lt;br /&gt;
== Logistics Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder, Anelia Horvath, Raechelle McCants, Jewel Das. Student volunteers: Jane, Sofia, Allison, Chloe, Trupri and Lincoln.&lt;br /&gt;
&lt;br /&gt;
== Talk Titles ==&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Department&lt;br /&gt;
!School&lt;br /&gt;
!Title&lt;br /&gt;
|-&lt;br /&gt;
|Jo Lynne Rokita&lt;br /&gt;
|Pediatrics&lt;br /&gt;
|CNH&lt;br /&gt;
|Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
|Erika Hubbard&lt;br /&gt;
|Bioinformatics and Biostatistics&lt;br /&gt;
|SPH&lt;br /&gt;
|Machine Learning to Determine Endotypes of Lupus&lt;br /&gt;
|-&lt;br /&gt;
|Raja Mazumder&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|Integrating Biomedical Knowledgebases and Clinical Data for ML/AI-Powered Insights&lt;br /&gt;
|-&lt;br /&gt;
|Jack Villani&lt;br /&gt;
|GW Genomics Core&lt;br /&gt;
|SPH&lt;br /&gt;
|GW Genomics Core: An Introduction &amp;amp; Overview (panel discussion)&lt;br /&gt;
|-&lt;br /&gt;
| Ayah Zirikly || Computer Science || SEAS/Johns Hopkins University || Developments in NLP and AI for Mental Health: Insights from the Last Decade and Future Directions – A Focus on the CLPsych Workshop&lt;br /&gt;
|-&lt;br /&gt;
| Weiqun Peng || Department of Physics || CCAS || Finding structures and their associated functions in genome wide of profiles of chromatin architecture&lt;br /&gt;
|-&lt;br /&gt;
| Nan Wu || Electrical and Computer Engineering || SEAS || Directed Graph Representation Learning for Circuits, Boolean Networks, and Beyond&lt;br /&gt;
|-&lt;br /&gt;
| Seth Berger || Biochemistry and Molecular Medicine / Pediatrics || SMHS || Blindspots in Clinical Genetic Testing: Integration of Multiomics to Improve Diagnostic Yields&lt;br /&gt;
|-&lt;br /&gt;
| Ali Reza Taheriyoun || Biostatistics and Bioinformatics || SPH || Dynamics of Gut Microbiome and Metabolome of Moderate and Severe Obesity Patients Under Sleeve Gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Yi-Wen Chen || Biochemistry and Molecular Medicine / Pediatrics || SMHS || From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Biological Sciences || CCAS || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
|Dae Young Kim&lt;br /&gt;
|Center for Translational Research&lt;br /&gt;
|CNH&lt;br /&gt;
|mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|AI driven Functional SNV Discovery from long read Single-Cell RNA-Seq Data&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Active Learning of Data Science and Bioinformtics&lt;br /&gt;
|-&lt;br /&gt;
|Max Alekseyev&lt;br /&gt;
|Mathematics / Biostatistics &amp;amp; Bioinformatics&lt;br /&gt;
|CCAS/SPH&lt;br /&gt;
|Bioinformatics Meets Quantum Informatics: from Genome Rearrangements to Weingarten Calculus&lt;br /&gt;
|-&lt;br /&gt;
|Aintzane Santaquiteria Gil&lt;br /&gt;
|Department of Biological Sciences&lt;br /&gt;
|CCAS&lt;br /&gt;
|Using comparative genomics to link genes with convergently evolved traits. &lt;br /&gt;
|-&lt;br /&gt;
|Chen Zeng&lt;br /&gt;
|Department of Physics&lt;br /&gt;
|CCAS&lt;br /&gt;
|Modeling RNA-protein Interactions with network guided machine learning&lt;br /&gt;
|-&lt;br /&gt;
|Mohammad Hammas Saeed&lt;br /&gt;
|Electrical and Computer Engineering&lt;br /&gt;
|SEAS&lt;br /&gt;
|AI for Good: Leveraging Graph-Based Methods and Large Language Models to Address Real-World Challenges&lt;br /&gt;
|-&lt;br /&gt;
|Hiroki Morizono&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Biomedical data resources at Children&#039;s National&lt;br /&gt;
|-&lt;br /&gt;
|Marc Garbey/Henry Kaminski&lt;br /&gt;
|Neurology &amp;amp; Rehabilitation Medicine&lt;br /&gt;
|MFA&lt;br /&gt;
|Moving towards a digital twin for myasthenia gravis &#039;&#039;(tentative title)&#039;&#039;&lt;br /&gt;
|} &lt;br /&gt;
&lt;br /&gt;
== Acknowledgments ==&lt;br /&gt;
&lt;br /&gt;
Sponsors: Dept. of Biochemistry and Molecular Medicine (coffee, refreshments, lunch, poster prizes), IBS (poster boards), Milken Institute School of Public Health (happy hour, poster prizes). &lt;br /&gt;
&lt;br /&gt;
== Contact ==&lt;br /&gt;
&#039;&#039;&#039;For questions about registration, abstract submission or general inquiries, please contact:&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Raja Mazumder: mazumder@gwu.edu&lt;br /&gt;
&lt;br /&gt;
== Poster Presentations ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! Name !! Presentation Title&lt;br /&gt;
|-&lt;br /&gt;
| Sunisha Harish || AI-Driven Drug Response Prediction in Cancer Using Long-Read Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
| Dae Young Kim || mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
| *Vania Ballesteros Prieto || Uncovering the Contributions of Expressed Genetic Variants, Isoforms, and RNA Editing to Tumor Heterogeneity via Long-Read Single-Cell RNA-Seq Analysis&lt;br /&gt;
|-&lt;br /&gt;
| Sarah Tiufekchiev-Grieco || Promoting Resolution of Inflammation as a Potential Therapy for DMD&lt;br /&gt;
|-&lt;br /&gt;
| Karli Gilbert || Machine Learning Models Predict Treatment Outcome from Serum Proteins in Patients with Myasthenia Gravis that received Thymectomy&lt;br /&gt;
|-&lt;br /&gt;
| Reny Mathew || Identification of anti-helminthic drug resistance associated Quantitative trait loci (QTLs) in the canine hookworm, Ancylostoma caninum: A pooled-sequencing approach&lt;br /&gt;
|-&lt;br /&gt;
| Jo Lynne Rokita || Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
| Henry Kaminski || Moving towards a digital twin for myasthenia gravis &lt;br /&gt;
|-&lt;br /&gt;
| Huai Chin Chiang || Single-Cell Transcriptomic and Phenotypic Profiling Reveals T Cell Dysfunction in BRCA1 Mutation Carriers&lt;br /&gt;
|-&lt;br /&gt;
| Lori Krammer || GW-FEAST: a federated ecosystem for data analysis and machine learning&lt;br /&gt;
|-&lt;br /&gt;
| Medha Kurukunda || Analyzing the Use of Artificial Intelligence to Enhance the Identification of Food Insecure Areas in Washington, D.C. &lt;br /&gt;
|-&lt;br /&gt;
| Christie Rose Woodside || Bridging Genomics and Preparedness: Regulatory-Grade Genomics and Quality Control Metrics and Analysis for Emerging and Circulating Avian Influenza in 2024-2025&lt;br /&gt;
|-&lt;br /&gt;
| *Aiste Gulla, MD, PhD || Clinical Outcomes and Long-Term Survival of Pancreatic Cancers by Histological Sub-Type in the Epic Cosmos Database: Results from 2010-2025&lt;br /&gt;
|-&lt;br /&gt;
| *Jane Ulianova || Comparison of alignment performance between the T2T-CHM13 and GRCh38/hg38 reference genome assemblies for RNAseq&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Automated Tracking of Freezing Behavior in Paired House Mice Using DeepLabCut&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Behavioral Bioinformatics for Temporal Analysis of Freezing Behavior in Dyad Mice&lt;br /&gt;
|-&lt;br /&gt;
| Karim Ismat || Generation of a single nuclei RNA sequencing atlas of dysferlin-deficient skeletal muscle &lt;br /&gt;
|-&lt;br /&gt;
| *Kai Leung (Adam) Wong || An Experience of carrying out GPU-accelerated Genomic Analysis on Pegasus&lt;br /&gt;
|-&lt;br /&gt;
| Gabriel Batzli || Defining macrophage heterogeneity in murine skin wounds during inflammation  &lt;br /&gt;
|-&lt;br /&gt;
| Hovhannes Arestakesyan || Recurrent Somatic scSNVs in Single-Cell RNA-Seq: Insights into Tumor Heterogeneity and RNA-Level Variants&lt;br /&gt;
|-&lt;br /&gt;
| Chloe Sachs || Secretome distinguishes spectrum of NF1 associated peripheral nerve sheath tumors&lt;br /&gt;
|-&lt;br /&gt;
| Nikhil Arethiya || A Time-Series Approach to Glucose-Based Participant Classification&lt;br /&gt;
|-&lt;br /&gt;
| Siera Martinez || Hetero-GNN Link Prediction of RNA Editing in Single Cells&lt;br /&gt;
|-&lt;br /&gt;
| Renxi Li || Thirty-day outcomes of infrainguinal bypass surgery with concurrent iliac artery stenting in patients with chronic limb-threatening ischemia &lt;br /&gt;
|-&lt;br /&gt;
| Matthew Mollerus || ResLens: Detecting Antibiotic Resistance Genes with Large Language Models&lt;br /&gt;
|-&lt;br /&gt;
| Parimala  Nagaraj || Cybersecurity at the Intersection of Genomics and Data Science: Securing the Future of Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
| Cristina Fenollar Ferrer || Functional impact of PIP2 on the Serotonin Transporter (SERT)&lt;br /&gt;
|-&lt;br /&gt;
| Ali Taheriyoun || Dynamics of gut microbiome and metabolome of obesity patients under sleeve gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Irene Zohn || Next Generation sequencing approaches to understand developmental defects&lt;br /&gt;
|-&lt;br /&gt;
| Max Alekseyev || Bioinformatics meets Quantum Informatics: from genome rearrangements to Weingarten calculus&lt;br /&gt;
|-&lt;br /&gt;
| Lausanne Lee Oliver || Phylogenetic analysis of novel phages from Hawaiian fumaroles&lt;br /&gt;
|-&lt;br /&gt;
|Mahdi Baghbanzadeh&lt;br /&gt;
|seqLens: optimizing language models for genomic predictions&lt;br /&gt;
|-&lt;br /&gt;
|Dezhao Fu&lt;br /&gt;
|varLens - enhancers genetic testing using language models&lt;br /&gt;
|-&lt;br /&gt;
|Lilly Shaw&lt;br /&gt;
|Uncovering Shared and Unique Biomarkers Across 23 Cancer Types Using The Cancer Genome Atlas (TCGA)&lt;br /&gt;
|-&lt;br /&gt;
|Daniall Masood&lt;br /&gt;
|BiomarkerKB: A Comprehensive Biomarker Knowledgebase&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Active Learning of Data Science and Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
|Urnisha Bhuiyan&lt;br /&gt;
|GlyGen: A Comprehensive Resource for Glycoscience Data Integration and Discovery&lt;br /&gt;
|-&lt;br /&gt;
|Surajit Bhattacharya&lt;br /&gt;
|Redefining Human Airway Biology in Children from The Top Down: Unique Features of the Nasal Airway Epithelium.&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|A Machine Learning Approach to Functional SNV Discovery via Isoform-Aware Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
|Christie Rose Woodside&lt;br /&gt;
|Enhanced QC Metrics for Reference-Grade Genomic Data&lt;br /&gt;
|-&lt;br /&gt;
|Yi-Wen Chen&lt;br /&gt;
|From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
|Pia Sen&lt;br /&gt;
|Investigating the role of bacteriophage diversity in Hawaiian steam vent microbial communities&lt;br /&gt;
|-&lt;br /&gt;
|Emily Williams&lt;br /&gt;
|TRIM28 regulates endogenous retroviral element expression in prostate cancer&lt;br /&gt;
|-&lt;br /&gt;
|Cadina Powell&lt;br /&gt;
|Be Smart And Use Smartphones for Telemedicine: Narrative Review &lt;br /&gt;
|-&lt;br /&gt;
|Xinyang Zhang&lt;br /&gt;
|Meta-analytic microbiome target discovery for immune checkpoint inhibitor response in advanced melanoma&lt;br /&gt;
|-&lt;br /&gt;
|Cyrus Chun Hong Au Yeung&lt;br /&gt;
|Leveraging Large Language Models for Scalable Glycan-Disease Relation Extraction&lt;br /&gt;
|-&lt;br /&gt;
|Ashley Garrison&lt;br /&gt;
|Gut Microbiome Composition as an Indicator of Preclinical Alzheimer&#039;s Disease&lt;br /&gt;
|-&lt;br /&gt;
|*Chelcie Puetz&lt;br /&gt;
|Combined Neuroinflammatory and Neurovascular Molecular Screening for Early Detection of Blood-Brain Barrier Dysfunction in Patients with Traumatic Brain Injury&lt;br /&gt;
|-&lt;br /&gt;
|Ranojoy Chatterjee&lt;br /&gt;
|cellSight: Enhanced Single-Cell Analysis Platform with Comprehensive Cell Communication Analysis.&lt;br /&gt;
|-&lt;br /&gt;
|Ishita Chopra&lt;br /&gt;
|Characterizing Cell Interaction and Gene Expression&lt;br /&gt;
|-&lt;br /&gt;
|Luke Johnson&lt;br /&gt;
|scSNViz: a user-friendly R package for visualization and analysis of cell specific expressed SNVs&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Flash talks&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=820</id>
		<title>2025 Bioinformatics Symposium</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=820"/>
		<updated>2025-04-28T16:11:42Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{DISPLAYTITLE: 2025 Bioinformatics Symposium}}&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title&#039;&#039;&#039;: 2025 Inaugural GW Bioinformatics Symposium &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;When&#039;&#039;&#039;: April 29th 2025, 9am to 6pm&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Venue&#039;&#039;&#039;: Talks: SEH B1220. Refreshments, lunch, and posters: Green wall area (SEH B1167)&lt;br /&gt;
&lt;br /&gt;
Join us for a full-day, all-hands GW Bioinformatics Symposium featuring posters, talks, and roundtable discussions. Open to GW students, staff, and faculty! &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;NOTE: We have received nearly 130 registrations, while SEH B1220 has a seating capacity of 90. Be sure to arrive early to secure a spot. For those who cannot be accommodated in the main room, we’ve arranged an overflow space in GWCC 8040 Conference Room, where the sessions will be live-streamed.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;REGISTRATION IS CLOSED. Event Registration:&#039;&#039;&#039; Space is limited. Please register by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; for the event through this &#039;&#039;&#039;&amp;lt;big&amp;gt;[https://docs.google.com/forms/d/e/1FAIpQLSd_VfXIL_S59cVgOBxx_0b0E-wMBphWbBVuK6-JOSm9-cqiJA/viewform?usp=sharing form]&amp;lt;/big&amp;gt;&#039;&#039;&#039;. If you encounter any issues, please email Raja Mazumder (mazumder@gwu.edu) your name and the lab you are representing and he will register you.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;ABSTRACT SUBMISSION IS CLOSED. Abstract submission:&#039;&#039;&#039; Please submit your abstract by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; through [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC &#039;&#039;&#039;&amp;lt;big&amp;gt;REDCap&amp;lt;/big&amp;gt;&#039;&#039;&#039;]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;OPT-OUT LUNCH PICKUP.&#039;&#039;&#039; We’re excited by the overwhelming response. Almost 130 participants from nearly all GW schools have signed up. Please note that seating in the main room is limited to the first 90 attendees. We encourage you to arrive early to secure a seat. For those who arrive later, we’re working to set up a spillover room with TV monitors so everyone can still follow the sessions. Lunch will be provided for all attendees who plan to stay for most of the day. If you’re attending only briefly and do not plan to pick up lunch, please let us know to help minimize food waste. You can either fill out this [https://docs.google.com/forms/d/e/1FAIpQLScWaw6JFsbtQgcdsk9XCZQMJ0mMb3Z0UR5uHZnTZ1DgBYJlDQ/viewform?usp=header form] or email mazumder@gwu.edu. We appreciate your understanding and cooperation.&lt;br /&gt;
&lt;br /&gt;
== Abstract/Overview ==&lt;br /&gt;
&lt;br /&gt;
The GW Bioinformatics Symposium on April 29, 2025, a full-day event is designed to bring together faculty, staff, and student bioinformatics researchers and also researchers who use bioinformatics in their labs,  from across GW to foster networking, collaboration, and knowledge exchange. The symposium will feature talks from GW labs that focus on bioinformatics and related research, poster presentations, roundtable discussions, and sessions on resources, funding and career opportunities in bioinformatics. Topics will span bioinformatics, computational methods, IT/security, and training, highlighting the breadth of bioinformatics in various GW schools and centers. This event offers a unique opportunity for attendees to engage in meaningful discussions, explore potential collaborations, and stay informed about the latest advancements in the field. The symposium is a great way to connect with the GW bioinformatics community.&lt;br /&gt;
&lt;br /&gt;
== Poster ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Participants are invited to submit a brief poster abstract by March 31st at 11:59 PM (ET). We encourage submissions from bioinformatics labs and also other labs that do not primarily focus on bioinformatics but have research relevant to bioinformatics topics. A select few will be chosen for lightning talks. Due to the limited number of poster boards, priority will be given to ensure each lab/group has at least one designated board. If the number of submitted poster abstracts exceeds the available poster boards, additional posters may be printed as flyers with QR codes, enabling attendees to scan, view, or download them electronically. &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Size:&#039;&#039;&#039; Poster sizes can be up to 48 (width) x 36 (height) inches.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Abstract Submission Portal:&#039;&#039;&#039; [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC Click here].&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Printing Instructions&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Download the poster template from GW Research Day Resources: [https://guides.himmelfarb.gwu.edu/ResearchDay/poster-design-layout Poster Design &amp;amp; Layout].&lt;br /&gt;
&lt;br /&gt;
After you create the PPT for your poster, request free poster printing from Gelman Library [https://library.gwu.edu/3-d-and-large-format-printing using this form].&lt;br /&gt;
&lt;br /&gt;
Submit your printing request by April 15th.&lt;br /&gt;
&lt;br /&gt;
== Schedule ([https://hivelab.biochemistry.gwu.edu/wiki/2025_Bioinformatics_Symposium#Talk_Titles Talk Titles]) ==&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Time&lt;br /&gt;
!Duration &lt;br /&gt;
!Topic&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Morning Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Registration, introduction, and health-related topics.&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|8:30 - 9:00 AM&lt;br /&gt;
|30 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Registration &amp;amp; coffee&amp;lt;/u&amp;gt;&lt;br /&gt;
Lead: Raechelle McCants, Jewel Dias&lt;br /&gt;
&lt;br /&gt;
* Registration&lt;br /&gt;
* Coffee&lt;br /&gt;
* Poster Setup&lt;br /&gt;
* Slide/AV setup &amp;amp; check&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|9 - 11:00 AM&lt;br /&gt;
|120 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Welcome&amp;lt;/u&amp;gt;&lt;br /&gt;
Rong Li (Chair, Dept. BMM, SMHS)&lt;br /&gt;
&lt;br /&gt;
Alison Hall (Senior Assoc Dean for Res, SMHS)&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Talks (10 mins + questions)&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Session chairs: Anelia Horvath, Raja Mazumder&lt;br /&gt;
|1. Anelia Horvath (Biochemistry)&lt;br /&gt;
2. Ljubica Caldovic (Children’s)&lt;br /&gt;
&lt;br /&gt;
3. Muhammad Rahman (Children’s)&lt;br /&gt;
&lt;br /&gt;
4. Seth Berger (Children’s)&lt;br /&gt;
&lt;br /&gt;
5. Raja Mazumder (Biochemistry)&lt;br /&gt;
&lt;br /&gt;
6. Yi-Wen Chen (Children’s)&lt;br /&gt;
&lt;br /&gt;
7. Aintzane Santaquiteria Gil (Biology, Orti Lab)&lt;br /&gt;
&lt;br /&gt;
8. *Marc Garbey (Neurology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
9. Jane Ulianova&lt;br /&gt;
&lt;br /&gt;
10. Aiste Gulla&lt;br /&gt;
|-&lt;br /&gt;
|11 - 11:15 AM&lt;br /&gt;
|15 min&lt;br /&gt;
|Refreshment Break. &lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|11:15 - 12:30 PM&lt;br /&gt;
|75 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session chairs: Ali Rahnavard, Ljubica Caldovic&lt;br /&gt;
|1. Jo Lynne Rokita (Children’s)&lt;br /&gt;
2. Max Alekseyev (Milken)&lt;br /&gt;
&lt;br /&gt;
3. Erika Hubbard (Crandall lab, Milken)&lt;br /&gt;
&lt;br /&gt;
5. Ali R. Taheriyoun  (Rahnavard Lab, Milken)&lt;br /&gt;
&lt;br /&gt;
6. Hiroki Morizono (Children’s)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;One 4 mins Poster Flash Talk&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Vania Ballesteros Prieto&lt;br /&gt;
|-&lt;br /&gt;
|12:30 - 2 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Lunch and poster session&lt;br /&gt;
Lead: Anelia Horvath, Raechelle McCants, Jewel Dias&lt;br /&gt;
|&#039;&#039;&#039;Poster Judging Committee:&#039;&#039;&#039;&lt;br /&gt;
Anelia Horvath &lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard &lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono &lt;br /&gt;
&lt;br /&gt;
Yi-Wen Chen &lt;br /&gt;
&lt;br /&gt;
Jimmy Saw&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Afternoon Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Breadth of bioinformatics in biological research; IT/security; Training&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|2:00 - 3:30 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session Chairs: Howie Huang, Jimmy Saw, Chen Zeng&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;3:10 PM remarks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Evangeline J. Downie (Associate Dean for Research, CCAS)&lt;br /&gt;
|1. Mohammad Hammas Saeed (Howie Huang Lab, Engineering)&lt;br /&gt;
2. Nan Wu (ECE, Engineering)&lt;br /&gt;
&lt;br /&gt;
3. Aya Zirikly (Computer Science, GW/JHU)&lt;br /&gt;
&lt;br /&gt;
4. Chen Zeng (Physics)&lt;br /&gt;
&lt;br /&gt;
5. Weiqun Peng (Physics)&lt;br /&gt;
&lt;br /&gt;
6. Shekhar Nagar (Jimmy Saw Lab, Biology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Chelcie Puetz&lt;br /&gt;
&lt;br /&gt;
8. Kai Leung (Adam) Wong&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|3: 30 - 4:30 PM&lt;br /&gt;
|60 min&lt;br /&gt;
|Session Chair: Jonathon Keeney.&lt;br /&gt;
Co-chairs: Hiroki Morizono, Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
* 5 min. Introduction: IT, omics support, and related topics&lt;br /&gt;
&lt;br /&gt;
* Questions from audience&lt;br /&gt;
** Round table discussion&lt;br /&gt;
** Careers in bioinformatics&lt;br /&gt;
** Funding opportunities&lt;br /&gt;
|Clark Gaylord (Director, Research Technology Services)&lt;br /&gt;
Brian Choi (MFA)&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath (MGPC core/Bioinformatics support)&lt;br /&gt;
&lt;br /&gt;
Jack Villani (GW Genomics Core)&lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard (CBI Analytics)&lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono (Children&#039;s)&lt;br /&gt;
|-&lt;br /&gt;
|4:30 - 6:00 PM&lt;br /&gt;
|&lt;br /&gt;
|Networking event, poster prizes, and refreshments&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Keith Crandall&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Talk titles TBD&lt;br /&gt;
&lt;br /&gt;
== Presentation/Discussion Sessions ==&lt;br /&gt;
There will be a Q&amp;amp;A session and a networking event at the end of the workshop.&lt;br /&gt;
&lt;br /&gt;
== Scientific Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder (Symposium Chair), Anelia Horvath, Hiroki Morizono, Ljubica Caldovic, Keith Crandall, Jorge Sepulveda, Howie Huang, Chen Zeng, Jimmy Saw, Clark Gaylord.&lt;br /&gt;
&lt;br /&gt;
== Logistics Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder, Anelia Horvath, Raechelle McCants, Jewel Das. Student volunteers: Jane, Sofia, Allison, Chloe, Trupri and Lincoln.&lt;br /&gt;
&lt;br /&gt;
== Talk Titles ==&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Department&lt;br /&gt;
!School&lt;br /&gt;
!Title&lt;br /&gt;
|-&lt;br /&gt;
|Jo Lynne Rokita&lt;br /&gt;
|Pediatrics&lt;br /&gt;
|CNH&lt;br /&gt;
|Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
|Erika Hubbard&lt;br /&gt;
|Bioinformatics and Biostatistics&lt;br /&gt;
|SPH&lt;br /&gt;
|Machine Learning to Determine Endotypes of Lupus&lt;br /&gt;
|-&lt;br /&gt;
|Raja Mazumder&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|Integrating Biomedical Knowledgebases and Clinical Data for ML/AI-Powered Insights&lt;br /&gt;
|-&lt;br /&gt;
|Jack Villani&lt;br /&gt;
|GW Genomics Core&lt;br /&gt;
|SPH&lt;br /&gt;
|GW Genomics Core: An Introduction &amp;amp; Overview (panel discussion)&lt;br /&gt;
|-&lt;br /&gt;
| Ayah Zirikly || Computer Science || SEAS/Johns Hopkins University || Developments in NLP and AI for Mental Health: Insights from the Last Decade and Future Directions – A Focus on the CLPsych Workshop&lt;br /&gt;
|-&lt;br /&gt;
| Weiqun Peng || Department of Physics || CCAS || Finding structures and their associated functions in genome wide of profiles of chromatin architecture&lt;br /&gt;
|-&lt;br /&gt;
| Nan Wu || Electrical and Computer Engineering || SEAS || Directed Graph Representation Learning for Circuits, Boolean Networks, and Beyond&lt;br /&gt;
|-&lt;br /&gt;
| Seth Berger || Biochemistry and Molecular Medicine / Pediatrics || SMHS || Blindspots in Clinical Genetic Testing: Integration of Multiomics to Improve Diagnostic Yields&lt;br /&gt;
|-&lt;br /&gt;
| Ali Reza Taheriyoun || Biostatistics and Bioinformatics || SPH || Dynamics of Gut Microbiome and Metabolome of Moderate and Severe Obesity Patients Under Sleeve Gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Yi-Wen Chen || Biochemistry and Molecular Medicine / Pediatrics || SMHS || From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Biological Sciences || CCAS || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
|Dae Young Kim&lt;br /&gt;
|Center for Translational Research&lt;br /&gt;
|CNH&lt;br /&gt;
|mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|AI driven Functional SNV Discovery from long read Single-Cell RNA-Seq Data&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Active Learning of Data Science and Bioinformtics&lt;br /&gt;
|-&lt;br /&gt;
|Max Alekseyev&lt;br /&gt;
|Mathematics / Biostatistics &amp;amp; Bioinformatics&lt;br /&gt;
|CCAS/SPH&lt;br /&gt;
|Bioinformatics Meets Quantum Informatics: from Genome Rearrangements to Weingarten Calculus&lt;br /&gt;
|-&lt;br /&gt;
|Aintzane Santaquiteria Gil&lt;br /&gt;
|Department of Biological Sciences&lt;br /&gt;
|CCAS&lt;br /&gt;
|Using comparative genomics to link genes with convergently evolved traits. &lt;br /&gt;
|-&lt;br /&gt;
|Chen Zeng&lt;br /&gt;
|Department of Physics&lt;br /&gt;
|CCAS&lt;br /&gt;
|Modeling RNA-protein Interactions with network guided machine learning&lt;br /&gt;
|-&lt;br /&gt;
|Mohammad Hammas Saeed&lt;br /&gt;
|Electrical and Computer Engineering&lt;br /&gt;
|SEAS&lt;br /&gt;
|AI for Good: Leveraging Graph-Based Methods and Large Language Models to Address Real-World Challenges&lt;br /&gt;
|-&lt;br /&gt;
|Hiroki Morizono&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Biomedical data resources at Children&#039;s National&lt;br /&gt;
|-&lt;br /&gt;
|Marc Garbey/Henry Kaminski&lt;br /&gt;
|Neurology &amp;amp; Rehabilitation Medicine&lt;br /&gt;
|MFA&lt;br /&gt;
|Moving towards a digital twin for myasthenia gravis &#039;&#039;(tentative title)&#039;&#039;&lt;br /&gt;
|} &lt;br /&gt;
&lt;br /&gt;
== Acknowledgments ==&lt;br /&gt;
&lt;br /&gt;
Sponsors: Dept. of Biochemistry and Molecular Medicine (coffee, refreshments, lunch, poster prizes), IBS (poster boards), Milken Institute School of Public Health (happy hour, poster prizes). &lt;br /&gt;
&lt;br /&gt;
== Contact ==&lt;br /&gt;
&#039;&#039;&#039;For questions about registration, abstract submission or general inquiries, please contact:&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Raja Mazumder: mazumder@gwu.edu&lt;br /&gt;
&lt;br /&gt;
== Poster Presentations ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! Name !! Presentation Title&lt;br /&gt;
|-&lt;br /&gt;
| Sunisha Harish || AI-Driven Drug Response Prediction in Cancer Using Long-Read Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
| Dae Young Kim || mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
| *Vania Ballesteros Prieto || Uncovering the Contributions of Expressed Genetic Variants, Isoforms, and RNA Editing to Tumor Heterogeneity via Long-Read Single-Cell RNA-Seq Analysis&lt;br /&gt;
|-&lt;br /&gt;
| Sarah Tiufekchiev-Grieco || Promoting Resolution of Inflammation as a Potential Therapy for DMD&lt;br /&gt;
|-&lt;br /&gt;
| Karli Gilbert || Machine Learning Models Predict Treatment Outcome from Serum Proteins in Patients with Myasthenia Gravis that received Thymectomy&lt;br /&gt;
|-&lt;br /&gt;
| Reny Mathew || Identification of anti-helminthic drug resistance associated Quantitative trait loci (QTLs) in the canine hookworm, Ancylostoma caninum: A pooled-sequencing approach&lt;br /&gt;
|-&lt;br /&gt;
| Jo Lynne Rokita || Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
| Henry Kaminski || Moving towards a digital twin for myasthenia gravis &lt;br /&gt;
|-&lt;br /&gt;
| Huai Chin Chiang || Single-Cell Transcriptomic and Phenotypic Profiling Reveals T Cell Dysfunction in BRCA1 Mutation Carriers&lt;br /&gt;
|-&lt;br /&gt;
| Lori Krammer || GW-FEAST: a federated ecosystem for data analysis and machine learning&lt;br /&gt;
|-&lt;br /&gt;
| Medha Kurukunda || Analyzing the Use of Artificial Intelligence to Enhance the Identification of Food Insecure Areas in Washington, D.C. &lt;br /&gt;
|-&lt;br /&gt;
| Christie Rose Woodside || Bridging Genomics and Preparedness: Regulatory-Grade Genomics and Quality Control Metrics and Analysis for Emerging and Circulating Avian Influenza in 2024-2025&lt;br /&gt;
|-&lt;br /&gt;
| *Aiste Gulla, MD, PhD || Clinical Outcomes and Long-Term Survival of Pancreatic Cancers by Histological Sub-Type in the Epic Cosmos Database: Results from 2010-2025&lt;br /&gt;
|-&lt;br /&gt;
| *Jane Ulianova || Comparison of alignment performance between the T2T-CHM13 and GRCh38/hg38 reference genome assemblies for RNAseq&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Automated Tracking of Freezing Behavior in Paired House Mice Using DeepLabCut&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Behavioral Bioinformatics for Temporal Analysis of Freezing Behavior in Dyad Mice&lt;br /&gt;
|-&lt;br /&gt;
| Karim Ismat || Generation of a single nuclei RNA sequencing atlas of dysferlin-deficient skeletal muscle &lt;br /&gt;
|-&lt;br /&gt;
| *Kai Leung (Adam) Wong || An Experience of carrying out GPU-accelerated Genomic Analysis on Pegasus&lt;br /&gt;
|-&lt;br /&gt;
| Gabriel Batzli || Defining macrophage heterogeneity in murine skin wounds during inflammation  &lt;br /&gt;
|-&lt;br /&gt;
| Hovhannes Arestakesyan || Recurrent Somatic scSNVs in Single-Cell RNA-Seq: Insights into Tumor Heterogeneity and RNA-Level Variants&lt;br /&gt;
|-&lt;br /&gt;
| Chloe Sachs || Secretome distinguishes spectrum of NF1 associated peripheral nerve sheath tumors&lt;br /&gt;
|-&lt;br /&gt;
| Nikhil Arethiya || A Time-Series Approach to Glucose-Based Participant Classification&lt;br /&gt;
|-&lt;br /&gt;
| Siera Martinez || Hetero-GNN Link Prediction of RNA Editing in Single Cells&lt;br /&gt;
|-&lt;br /&gt;
| Renxi Li || Thirty-day outcomes of infrainguinal bypass surgery with concurrent iliac artery stenting in patients with chronic limb-threatening ischemia &lt;br /&gt;
|-&lt;br /&gt;
| Matthew Mollerus || ResLens: Detecting Antibiotic Resistance Genes with Large Language Models&lt;br /&gt;
|-&lt;br /&gt;
| Parimala  Nagaraj || Cybersecurity at the Intersection of Genomics and Data Science: Securing the Future of Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
| Cristina Fenollar Ferrer || Functional impact of PIP2 on the Serotonin Transporter (SERT)&lt;br /&gt;
|-&lt;br /&gt;
| Ali Taheriyoun || Dynamics of gut microbiome and metabolome of obesity patients under sleeve gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Irene Zohn || Next Generation sequencing approaches to understand developmental defects&lt;br /&gt;
|-&lt;br /&gt;
| Max Alekseyev || Bioinformatics meets Quantum Informatics: from genome rearrangements to Weingarten calculus&lt;br /&gt;
|-&lt;br /&gt;
| Lausanne Lee Oliver || Phylogenetic analysis of novel phages from Hawaiian fumaroles&lt;br /&gt;
|-&lt;br /&gt;
|Mahdi Baghbanzadeh&lt;br /&gt;
|seqLens: optimizing language models for genomic predictions&lt;br /&gt;
|-&lt;br /&gt;
|Dezhao Fu&lt;br /&gt;
|varLens - enhancers genetic testing using language models&lt;br /&gt;
|-&lt;br /&gt;
|Lilly Shaw&lt;br /&gt;
|Uncovering Shared and Unique Biomarkers Across 23 Cancer Types Using The Cancer Genome Atlas (TCGA)&lt;br /&gt;
|-&lt;br /&gt;
|Daniall Masood&lt;br /&gt;
|BiomarkerKB: A Comprehensive Biomarker Knowledgebase&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Active Learning of Data Science and Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
|Urnisha Bhuiyan&lt;br /&gt;
|GlyGen: A Comprehensive Resource for Glycoscience Data Integration and Discovery&lt;br /&gt;
|-&lt;br /&gt;
|Surajit Bhattacharya&lt;br /&gt;
|Redefining Human Airway Biology in Children from The Top Down: Unique Features of the Nasal Airway Epithelium.&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|A Machine Learning Approach to Functional SNV Discovery via Isoform-Aware Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
|Christie Rose Woodside&lt;br /&gt;
|Enhanced QC Metrics for Reference-Grade Genomic Data&lt;br /&gt;
|-&lt;br /&gt;
|Yi-Wen Chen&lt;br /&gt;
|From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
|Pia Sen&lt;br /&gt;
|Investigating the role of bacteriophage diversity in Hawaiian steam vent microbial communities&lt;br /&gt;
|-&lt;br /&gt;
|Emily Williams&lt;br /&gt;
|TRIM28 regulates endogenous retroviral element expression in prostate cancer&lt;br /&gt;
|-&lt;br /&gt;
|Cadina Powell&lt;br /&gt;
|Be Smart And Use Smartphones for Telemedicine: Narrative Review &lt;br /&gt;
|-&lt;br /&gt;
|Xinyang Zhang&lt;br /&gt;
|Meta-analytic microbiome target discovery for immune checkpoint inhibitor response in advanced melanoma&lt;br /&gt;
|-&lt;br /&gt;
|Cyrus Chun Hong Au Yeung&lt;br /&gt;
|Leveraging Large Language Models for Scalable Glycan-Disease Relation Extraction&lt;br /&gt;
|-&lt;br /&gt;
|Ashley Garrison&lt;br /&gt;
|Gut Microbiome Composition as an Indicator of Preclinical Alzheimer&#039;s Disease&lt;br /&gt;
|-&lt;br /&gt;
|*Chelcie Puetz&lt;br /&gt;
|Combined Neuroinflammatory and Neurovascular Molecular Screening for Early Detection of Blood-Brain Barrier Dysfunction in Patients with Traumatic Brain Injury&lt;br /&gt;
|-&lt;br /&gt;
|Ranojoy Chatterjee&lt;br /&gt;
|cellSight: Enhanced Single-Cell Analysis Platform with Comprehensive Cell Communication Analysis.&lt;br /&gt;
|-&lt;br /&gt;
|Ishita Chopra&lt;br /&gt;
|Characterizing Cell Interaction and Gene Expression&lt;br /&gt;
|-&lt;br /&gt;
|Luke Johnson&lt;br /&gt;
|scSNViz: a user-friendly R package for visualization and analysis of cell specific expressed SNVs&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Flash talks&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=819</id>
		<title>2025 Bioinformatics Symposium</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=819"/>
		<updated>2025-04-28T13:47:08Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{DISPLAYTITLE: 2025 Bioinformatics Symposium}}&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title&#039;&#039;&#039;: 2025 Inaugural GW Bioinformatics Symposium &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;When&#039;&#039;&#039;: April 29th 2025, 9am to 6pm&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Venue&#039;&#039;&#039;: Talks: SEH B1220. Refreshments, lunch, and posters: Green wall area (SEH B1167)&lt;br /&gt;
&lt;br /&gt;
Join us for a full-day, all-hands GW Bioinformatics Symposium featuring posters, talks, and roundtable discussions. Open to GW students, staff, and faculty! &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;NOTE: We have received nearly 130 registrations, while SEH B1220 has a seating capacity of 90. Be sure to arrive early to secure a spot. For those who cannot be accommodated in the main room, we’ve arranged an overflow space in GWCC 8040 Conference Room, where the sessions will be live-streamed.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;REGISTRATION IS CLOSED. Event Registration:&#039;&#039;&#039; Space is limited. Please register by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; for the event through this &#039;&#039;&#039;&amp;lt;big&amp;gt;[https://docs.google.com/forms/d/e/1FAIpQLSd_VfXIL_S59cVgOBxx_0b0E-wMBphWbBVuK6-JOSm9-cqiJA/viewform?usp=sharing form]&amp;lt;/big&amp;gt;&#039;&#039;&#039;. If you encounter any issues, please email Raja Mazumder (mazumder@gwu.edu) your name and the lab you are representing and he will register you.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;ABSTRACT SUBMISSION IS CLOSED. Abstract submission:&#039;&#039;&#039; Please submit your abstract by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; through [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC &#039;&#039;&#039;&amp;lt;big&amp;gt;REDCap&amp;lt;/big&amp;gt;&#039;&#039;&#039;]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;OPT-OUT LUNCH PICKUP.&#039;&#039;&#039; We’re excited by the overwhelming response. Almost 130 participants from nearly all GW schools have signed up. Please note that seating in the main room is limited to the first 90 attendees. We encourage you to arrive early to secure a seat. For those who arrive later, we’re working to set up a spillover room with TV monitors so everyone can still follow the sessions. Lunch will be provided for all attendees who plan to stay for most of the day. If you’re attending only briefly and do not plan to pick up lunch, please let us know to help minimize food waste. You can either fill out this [https://docs.google.com/forms/d/e/1FAIpQLScWaw6JFsbtQgcdsk9XCZQMJ0mMb3Z0UR5uHZnTZ1DgBYJlDQ/viewform?usp=header form] or email mazumder@gwu.edu. We appreciate your understanding and cooperation.&lt;br /&gt;
&lt;br /&gt;
== Abstract/Overview ==&lt;br /&gt;
&lt;br /&gt;
The GW Bioinformatics Symposium on April 29, 2025, a full-day event is designed to bring together faculty, staff, and student bioinformatics researchers and also researchers who use bioinformatics in their labs,  from across GW to foster networking, collaboration, and knowledge exchange. The symposium will feature talks from GW labs that focus on bioinformatics and related research, poster presentations, roundtable discussions, and sessions on resources, funding and career opportunities in bioinformatics. Topics will span bioinformatics, computational methods, IT/security, and training, highlighting the breadth of bioinformatics in various GW schools and centers. This event offers a unique opportunity for attendees to engage in meaningful discussions, explore potential collaborations, and stay informed about the latest advancements in the field. The symposium is a great way to connect with the GW bioinformatics community.&lt;br /&gt;
&lt;br /&gt;
== Poster ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Participants are invited to submit a brief poster abstract by March 31st at 11:59 PM (ET). We encourage submissions from bioinformatics labs and also other labs that do not primarily focus on bioinformatics but have research relevant to bioinformatics topics. A select few will be chosen for lightning talks. Due to the limited number of poster boards, priority will be given to ensure each lab/group has at least one designated board. If the number of submitted poster abstracts exceeds the available poster boards, additional posters may be printed as flyers with QR codes, enabling attendees to scan, view, or download them electronically. &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Size:&#039;&#039;&#039; Poster sizes can be up to 48 (width) x 36 (height) inches.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Abstract Submission Portal:&#039;&#039;&#039; [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC Click here].&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Printing Instructions&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Download the poster template from GW Research Day Resources: [https://guides.himmelfarb.gwu.edu/ResearchDay/poster-design-layout Poster Design &amp;amp; Layout].&lt;br /&gt;
&lt;br /&gt;
After you create the PPT for your poster, request free poster printing from Gelman Library [https://library.gwu.edu/3-d-and-large-format-printing using this form].&lt;br /&gt;
&lt;br /&gt;
Submit your printing request by April 15th.&lt;br /&gt;
&lt;br /&gt;
== Schedule ([https://hivelab.biochemistry.gwu.edu/wiki/2025_Bioinformatics_Symposium#Talk_Titles Talk Titles]) ==&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Time&lt;br /&gt;
!Duration &lt;br /&gt;
!Topic&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Morning Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Registration, introduction, and health-related topics.&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|8:30 - 9:00 AM&lt;br /&gt;
|30 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Registration &amp;amp; coffee&amp;lt;/u&amp;gt;&lt;br /&gt;
Lead: Raechelle McCants, Jewel Dias&lt;br /&gt;
&lt;br /&gt;
* Registration&lt;br /&gt;
* Coffee&lt;br /&gt;
* Poster Setup&lt;br /&gt;
* Slide/AV setup &amp;amp; check&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|9 - 11:00 AM&lt;br /&gt;
|120 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Welcome&amp;lt;/u&amp;gt;&lt;br /&gt;
Rong Li (Chair, Dept. BMM, SMHS)&lt;br /&gt;
&lt;br /&gt;
Alison Hall (Senior Assoc Dean for Res, SMHS)&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Talks (10 mins + questions)&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Session chairs: Anelia Horvath, Raja Mazumder&lt;br /&gt;
|1. Anelia Horvath (Biochemistry)&lt;br /&gt;
2. Ljubica Caldovic (Children’s)&lt;br /&gt;
&lt;br /&gt;
3. Muhammad Rahman (Children’s)&lt;br /&gt;
&lt;br /&gt;
4. Seth Berger (Children’s)&lt;br /&gt;
&lt;br /&gt;
5. Raja Mazumder (Biochemistry)&lt;br /&gt;
&lt;br /&gt;
6. Yi-Wen Chen (Children’s)&lt;br /&gt;
&lt;br /&gt;
7. Aintzane Santaquiteria Gil (Biology, Orti Lab)&lt;br /&gt;
&lt;br /&gt;
8. *Marc Garbey (Neurology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
9. Jane Ulianova&lt;br /&gt;
&lt;br /&gt;
10. Aiste Gulla&lt;br /&gt;
|-&lt;br /&gt;
|11 - 11:15 AM&lt;br /&gt;
|15 min&lt;br /&gt;
|Refreshment Break. &lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|11:15 - 12:30 PM&lt;br /&gt;
|75 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session chairs: Ali Rahnavard, Ljubica Caldovic&lt;br /&gt;
|1. Jo Lynne Rokita (Children’s)&lt;br /&gt;
2. Max Alekseyev (Milken)&lt;br /&gt;
&lt;br /&gt;
3. Erika Hubbard (Crandall lab, Milken)&lt;br /&gt;
&lt;br /&gt;
5. Ali R. Taheriyoun  (Rahnavard Lab, Milken)&lt;br /&gt;
&lt;br /&gt;
6. Hiroki Morizono (Children’s)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;One 4 mins Poster Flash Talk&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Vania Ballesteros Prieto&lt;br /&gt;
|-&lt;br /&gt;
|12:30 - 2 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Lunch and poster session&lt;br /&gt;
Lead: Anelia Horvath, Raechelle McCants, Jewel Dias&lt;br /&gt;
|&#039;&#039;&#039;Poster Judging Committee:&#039;&#039;&#039;&lt;br /&gt;
Anelia Horvath &lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard &lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono &lt;br /&gt;
&lt;br /&gt;
Yi-Wen Chen &lt;br /&gt;
&lt;br /&gt;
Jimmy Saw&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Afternoon Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Breadth of bioinformatics in biological research; IT/security; Training&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|2:00 - 3:30 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session Chairs: Howie Huang, Jimmy Saw, Chen Zeng&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;3:10 PM remarks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Evangeline J. Downie (Associate Dean for Research, CCAS)&lt;br /&gt;
|1. Mohammad Hammas Saeed (Howie Huang Lab, Engineering)&lt;br /&gt;
2. Nan Wu (ECE, Engineering)&lt;br /&gt;
&lt;br /&gt;
3. Aya Zirikly (Computer Science, GW/JHU)&lt;br /&gt;
&lt;br /&gt;
4. Chen Zeng (Physics)&lt;br /&gt;
&lt;br /&gt;
5. Weiqun Peng (Physics)&lt;br /&gt;
&lt;br /&gt;
6. Shekhar Nagar (Jimmy Saw Lab, Biology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Chelcie Puetz&lt;br /&gt;
&lt;br /&gt;
8. Kai Leung (Adam) Wong&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|3: 30 - 4:30 PM&lt;br /&gt;
|60 min&lt;br /&gt;
|Session Chair: Jonathon Keeney.&lt;br /&gt;
Co-chairs: Hiroki Morizono, Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
* 5 min. Introduction: IT, omics support, and related topics&lt;br /&gt;
&lt;br /&gt;
* Questions from audience&lt;br /&gt;
** Round table discussion&lt;br /&gt;
** Careers in bioinformatics&lt;br /&gt;
** Funding opportunities&lt;br /&gt;
|Clark Gaylord (Director, Research Technology Services)&lt;br /&gt;
Brian Choi (MFA)&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath (MGPC core/Bioinformatics support)&lt;br /&gt;
&lt;br /&gt;
Jack Villani (GW Genomics Core)&lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard (CBI Analytics)&lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono (Children&#039;s)&lt;br /&gt;
|-&lt;br /&gt;
|4:30 - 6:00 PM&lt;br /&gt;
|&lt;br /&gt;
|Networking event, poster prizes, and refreshments&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Keith Crandall&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Talk titles TBD&lt;br /&gt;
&lt;br /&gt;
== Presentation/Discussion Sessions ==&lt;br /&gt;
There will be a Q&amp;amp;A session and a networking event at the end of the workshop.&lt;br /&gt;
&lt;br /&gt;
== Scientific Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder (Symposium Chair), Anelia Horvath, Hiroki Morizono, Ljubica Caldovic, Keith Crandall, Jorge Sepulveda, Howie Huang, Chen Zeng, Jimmy Saw, Clark Gaylord.&lt;br /&gt;
&lt;br /&gt;
== Logistics Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder, Anelia Horvath, Raechelle McCants, Jewel Das. Student volunteers: Jane, Sofia, Allison, Chloe, Trupri and Lincoln.&lt;br /&gt;
&lt;br /&gt;
== Talk Titles ==&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Department&lt;br /&gt;
!School&lt;br /&gt;
!Title&lt;br /&gt;
|-&lt;br /&gt;
|Jo Lynne Rokita&lt;br /&gt;
|Pediatrics&lt;br /&gt;
|CNH&lt;br /&gt;
|Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
|Erika Hubbard&lt;br /&gt;
|Bioinformatics and Biostatistics&lt;br /&gt;
|SPH&lt;br /&gt;
|Machine Learning to Determine Endotypes of Lupus&lt;br /&gt;
|-&lt;br /&gt;
|Raja Mazumder&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|Integrating Biomedical Knowledgebases and Clinical Data for ML/AI-Powered Insights&lt;br /&gt;
|-&lt;br /&gt;
|Jack Villani&lt;br /&gt;
|GW Genomics Core&lt;br /&gt;
|SPH&lt;br /&gt;
|GW Genomics Core: An Introduction &amp;amp; Overview (panel discussion)&lt;br /&gt;
|-&lt;br /&gt;
| Ayah Zirikly || Computer Science || SEAS/Johns Hopkins University || Developments in NLP and AI for Mental Health: Insights from the Last Decade and Future Directions – A Focus on the CLPsych Workshop&lt;br /&gt;
|-&lt;br /&gt;
| Weiqun Peng || Department of Physics || CCAS || Finding structures and their associated functions in genome wide of profiles of chromatin architecture&lt;br /&gt;
|-&lt;br /&gt;
| Nan Wu || Electrical and Computer Engineering || SEAS || Directed Graph Representation Learning for Circuits, Boolean Networks, and Beyond&lt;br /&gt;
|-&lt;br /&gt;
| Seth Berger || Biochemistry and Molecular Medicine / Pediatrics || SMHS || Blindspots in Clinical Genetic Testing: Integration of Multiomics to Improve Diagnostic Yields&lt;br /&gt;
|-&lt;br /&gt;
| Ali Reza Taheriyoun || Biostatistics and Bioinformatics || SPH || Dynamics of Gut Microbiome and Metabolome of Moderate and Severe Obesity Patients Under Sleeve Gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Yi-Wen Chen || Biochemistry and Molecular Medicine / Pediatrics || SMHS || From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Biological Sciences || CCAS || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
|Dae Young Kim&lt;br /&gt;
|Center for Translational Research&lt;br /&gt;
|CNH&lt;br /&gt;
|mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|AI driven Functional SNV Discovery from long read Single-Cell RNA-Seq Data&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Active Learning of Data Science and Bioinformtics&lt;br /&gt;
|-&lt;br /&gt;
|Max Alekseyev&lt;br /&gt;
|Mathematics / Biostatistics &amp;amp; Bioinformatics&lt;br /&gt;
|CCAS/SPH&lt;br /&gt;
|Bioinformatics Meets Quantum Informatics: from Genome Rearrangements to Weingarten Calculus&lt;br /&gt;
|-&lt;br /&gt;
|Aintzane Santaquiteria Gil&lt;br /&gt;
|Department of Biological Sciences&lt;br /&gt;
|CCAS&lt;br /&gt;
|Using comparative genomics to link genes with convergently evolved traits. &lt;br /&gt;
|-&lt;br /&gt;
|Chen Zeng&lt;br /&gt;
|Department of Physics&lt;br /&gt;
|CCAS&lt;br /&gt;
|Modeling RNA-protein Interactions with network guided machine learning&lt;br /&gt;
|-&lt;br /&gt;
|Mohammad Hammas Saeed&lt;br /&gt;
|Electrical and Computer Engineering&lt;br /&gt;
|SEAS&lt;br /&gt;
|AI for Good: Leveraging Graph-Based Methods and Large Language Models to Address Real-World Challenges&lt;br /&gt;
|-&lt;br /&gt;
|Hiroki Morizono&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Biomedical data resources at Children&#039;s National&lt;br /&gt;
|-&lt;br /&gt;
|Marc Garbey/Henry Kaminski&lt;br /&gt;
|Neurology &amp;amp; Rehabilitation Medicine&lt;br /&gt;
|MFA&lt;br /&gt;
|Moving towards a digital twin for myasthenia gravis &#039;&#039;(tentative title)&#039;&#039;&lt;br /&gt;
|} &lt;br /&gt;
&lt;br /&gt;
== Acknowledgments ==&lt;br /&gt;
&lt;br /&gt;
Sponsors: Dept. of Biochemistry and Molecular Medicine (coffee, refreshments, lunch, poster prizes), IBS (poster boards), Milken Institute School of Public Health (happy hour, poster prizes). &lt;br /&gt;
&lt;br /&gt;
== Contact ==&lt;br /&gt;
&#039;&#039;&#039;For questions about registration, abstract submission or general inquiries, please contact:&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Raja Mazumder: mazumder@gwu.edu&lt;br /&gt;
&lt;br /&gt;
== Poster Presentations ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! Name !! Presentation Title&lt;br /&gt;
|-&lt;br /&gt;
| Sunisha Harish || AI-Driven Drug Response Prediction in Cancer Using Long-Read Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
| Dae Young Kim || mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
| *Vania Ballesteros Prieto || Uncovering the Contributions of Expressed Genetic Variants, Isoforms, and RNA Editing to Tumor Heterogeneity via Long-Read Single-Cell RNA-Seq Analysis&lt;br /&gt;
|-&lt;br /&gt;
| Sarah Tiufekchiev-Grieco || Promoting Resolution of Inflammation as a Potential Therapy for DMD&lt;br /&gt;
|-&lt;br /&gt;
| Karli Gilbert || Machine Learning Models Predict Treatment Outcome from Serum Proteins in Patients with Myasthenia Gravis that received Thymectomy&lt;br /&gt;
|-&lt;br /&gt;
| Reny Mathew || Identification of anti-helminthic drug resistance associated Quantitative trait loci (QTLs) in the canine hookworm, Ancylostoma caninum: A pooled-sequencing approach&lt;br /&gt;
|-&lt;br /&gt;
| Jo Lynne Rokita || Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
| Henry Kaminski || Moving towards a digital twin for myasthenia gravis &lt;br /&gt;
|-&lt;br /&gt;
| Huai Chin Chiang || Single-Cell Transcriptomic and Phenotypic Profiling Reveals T Cell Dysfunction in BRCA1 Mutation Carriers&lt;br /&gt;
|-&lt;br /&gt;
| Lori Krammer || GW-FEAST: a federated ecosystem for data analysis and machine learning&lt;br /&gt;
|-&lt;br /&gt;
| Medha Kurukunda || Analyzing the Use of Artificial Intelligence to Enhance the Identification of Food Insecure Areas in Washington, D.C. &lt;br /&gt;
|-&lt;br /&gt;
| Christie Rose Woodside || Bridging Genomics and Preparedness: Regulatory-Grade Genomics and Quality Control Metrics and Analysis for Emerging and Circulating Avian Influenza in 2024-2025&lt;br /&gt;
|-&lt;br /&gt;
| *Aiste Gulla, MD, PhD || Clinical Outcomes and Long-Term Survival of Pancreatic Cancers by Histological Sub-Type in the Epic Cosmos Database: Results from 2010-2025&lt;br /&gt;
|-&lt;br /&gt;
| *Jane Ulianova || Comparison of alignment performance between the T2T-CHM13 and GRCh38/hg38 reference genome assemblies for RNAseq&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Automated Tracking of Freezing Behavior in Paired House Mice Using DeepLabCut&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Behavioral Bioinformatics for Temporal Analysis of Freezing Behavior in Dyad Mice&lt;br /&gt;
|-&lt;br /&gt;
| Karim Ismat || Generation of a single nuclei RNA sequencing atlas of dysferlin-deficient skeletal muscle &lt;br /&gt;
|-&lt;br /&gt;
| *Kai Leung (Adam) Wong || An Experience of carrying out GPU-accelerated Genomic Analysis on Pegasus&lt;br /&gt;
|-&lt;br /&gt;
| Gabriel Batzli || Defining macrophage heterogeneity in murine skin wounds during inflammation  &lt;br /&gt;
|-&lt;br /&gt;
| Hovhannes Arestakesyan || Recurrent Somatic scSNVs in Single-Cell RNA-Seq: Insights into Tumor Heterogeneity and RNA-Level Variants&lt;br /&gt;
|-&lt;br /&gt;
| Chloe Sachs || Secretome distinguishes spectrum of NF1 associated peripheral nerve sheath tumors&lt;br /&gt;
|-&lt;br /&gt;
| Nikhil Arethiya || A Time-Series Approach to Glucose-Based Participant Classification&lt;br /&gt;
|-&lt;br /&gt;
| Siera Martinez || Hetero-GNN Link Prediction of RNA Editing in Single Cells&lt;br /&gt;
|-&lt;br /&gt;
| Renxi Li || Thirty-day outcomes of infrainguinal bypass surgery with concurrent iliac artery stenting in patients with chronic limb-threatening ischemia &lt;br /&gt;
|-&lt;br /&gt;
| Matthew Mollerus || ResLens: Detecting Antibiotic Resistance Genes with Large Language Models&lt;br /&gt;
|-&lt;br /&gt;
| Parimala  Nagaraj || Cybersecurity at the Intersection of Genomics and Data Science: Securing the Future of Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
| Cristina Fenollar Ferrer || Functional impact of PIP2 on the Serotonin Transporter (SERT)&lt;br /&gt;
|-&lt;br /&gt;
| Ali Taheriyoun || Dynamics of gut microbiome and metabolome of obesity patients under sleeve gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Irene Zohn || Next Generation sequencing approaches to understand developmental defects&lt;br /&gt;
|-&lt;br /&gt;
| Max Alekseyev || Bioinformatics meets Quantum Informatics: from genome rearrangements to Weingarten calculus&lt;br /&gt;
|-&lt;br /&gt;
| Lausanne Lee Oliver || Phylogenetic analysis of novel phages from Hawaiian fumaroles&lt;br /&gt;
|-&lt;br /&gt;
|Mahdi Baghbanzadeh&lt;br /&gt;
|seqLens: optimizing language models for genomic predictions&lt;br /&gt;
|-&lt;br /&gt;
|Dezhao Fu&lt;br /&gt;
|varLens - enhancers genetic testing using language models&lt;br /&gt;
|-&lt;br /&gt;
|Lilly Shaw&lt;br /&gt;
|Uncovering Shared and Unique Biomarkers Across 23 Cancer Types Using The Cancer Genome Atlas (TCGA)&lt;br /&gt;
|-&lt;br /&gt;
|Daniall Masood&lt;br /&gt;
|BiomarkerKB: A Comprehensive Biomarker Knowledgebase&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Active Learning of Data Science and Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
|Urnisha Bhuiyan&lt;br /&gt;
|GlyGen: A Comprehensive Resource for Glycoscience Data Integration and Discovery&lt;br /&gt;
|-&lt;br /&gt;
|Surajit Bhattacharya&lt;br /&gt;
|Redefining Human Airway Biology in Children from The Top Down: Unique Features of the Nasal Airway Epithelium.&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|A Machine Learning Approach to Functional SNV Discovery via Isoform-Aware Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
|Christie Rose Woodside&lt;br /&gt;
|Enhanced QC Metrics for Reference-Grade Genomic Data&lt;br /&gt;
|-&lt;br /&gt;
|Yi-Wen Chen&lt;br /&gt;
|From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
|Pia Sen&lt;br /&gt;
|Investigating the role of bacteriophage diversity in Hawaiian steam vent microbial communities&lt;br /&gt;
|-&lt;br /&gt;
|Emily Williams&lt;br /&gt;
|TRIM28 regulates endogenous retroviral element expression in prostate cancer&lt;br /&gt;
|-&lt;br /&gt;
|Cadina Powell&lt;br /&gt;
|Be Smart And Use Smartphones for Telemedicine: Narrative Review &lt;br /&gt;
|-&lt;br /&gt;
|Xinyang Zhang&lt;br /&gt;
|Meta-analytic microbiome target discovery for immune checkpoint inhibitor response in advanced melanoma&lt;br /&gt;
|-&lt;br /&gt;
|Cyrus Chun Hong Au Yeung&lt;br /&gt;
|Leveraging Large Language Models for Scalable Glycan-Disease Relation Extraction&lt;br /&gt;
|-&lt;br /&gt;
|Ashley Garrison&lt;br /&gt;
|Gut Microbiome Composition as an Indicator of Preclinical Alzheimer&#039;s Disease&lt;br /&gt;
|-&lt;br /&gt;
|*Chelcie Puetz&lt;br /&gt;
|Combined Neuroinflammatory and Neurovascular Molecular Screening for Early Detection of Blood-Brain Barrier Dysfunction in Patients with Traumatic Brain Injury&lt;br /&gt;
|-&lt;br /&gt;
|Ranojoy Chatterjee&lt;br /&gt;
|cellSight: Enhanced Single-Cell Analysis Platform with Comprehensive Cell Communication Analysis.&lt;br /&gt;
|-&lt;br /&gt;
|Ishita Chopra&lt;br /&gt;
|Characterizing Cell Interaction and Gene Expression&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Flash talks&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=818</id>
		<title>2025 Bioinformatics Symposium</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=818"/>
		<updated>2025-04-26T12:47:39Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Poster Presentations */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{DISPLAYTITLE: 2025 Bioinformatics Symposium}}&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title&#039;&#039;&#039;: 2025 Inaugural GW Bioinformatics Symposium &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;When&#039;&#039;&#039;: April 29th 2025, 9am to 6pm&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Venue&#039;&#039;&#039;: Talks: SEH B1220. Refreshments, lunch, and posters: Green wall area (SEH B1167)&lt;br /&gt;
&lt;br /&gt;
Join us for a full-day, all-hands GW Bioinformatics Symposium featuring posters, talks, and roundtable discussions. Open to GW students, staff, and faculty! &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;NOTE: We have received nearly 130 registrations, while SEH B1220 has a seating capacity of 90. Be sure to arrive early to secure a spot. For those who cannot be accommodated in the main room, we’ve arranged an overflow space in GWCC 8040 Conference Room, where the sessions will be live-streamed.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;REGISTRATION IS CLOSED. Event Registration:&#039;&#039;&#039; Space is limited. Please register by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; for the event through this &#039;&#039;&#039;&amp;lt;big&amp;gt;[https://docs.google.com/forms/d/e/1FAIpQLSd_VfXIL_S59cVgOBxx_0b0E-wMBphWbBVuK6-JOSm9-cqiJA/viewform?usp=sharing form]&amp;lt;/big&amp;gt;&#039;&#039;&#039;. If you encounter any issues, please email Raja Mazumder (mazumder@gwu.edu) your name and the lab you are representing and he will register you.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;ABSTRACT SUBMISSION IS CLOSED. Abstract submission:&#039;&#039;&#039; Please submit your abstract by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; through [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC &#039;&#039;&#039;&amp;lt;big&amp;gt;REDCap&amp;lt;/big&amp;gt;&#039;&#039;&#039;]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;OPT-OUT LUNCH PICKUP.&#039;&#039;&#039; We’re excited by the overwhelming response. Almost 130 participants from nearly all GW schools have signed up. Please note that seating in the main room is limited to the first 90 attendees. We encourage you to arrive early to secure a seat. For those who arrive later, we’re working to set up a spillover room with TV monitors so everyone can still follow the sessions. Lunch will be provided for all attendees who plan to stay for most of the day. If you’re attending only briefly and do not plan to pick up lunch, please let us know to help minimize food waste. You can either fill out this [https://docs.google.com/forms/d/e/1FAIpQLScWaw6JFsbtQgcdsk9XCZQMJ0mMb3Z0UR5uHZnTZ1DgBYJlDQ/viewform?usp=header form] or email mazumder@gwu.edu. We appreciate your understanding and cooperation.&lt;br /&gt;
&lt;br /&gt;
== Abstract/Overview ==&lt;br /&gt;
&lt;br /&gt;
The GW Bioinformatics Symposium on April 29, 2025, a full-day event is designed to bring together faculty, staff, and student bioinformatics researchers and also researchers who use bioinformatics in their labs,  from across GW to foster networking, collaboration, and knowledge exchange. The symposium will feature talks from GW labs that focus on bioinformatics and related research, poster presentations, roundtable discussions, and sessions on resources, funding and career opportunities in bioinformatics. Topics will span bioinformatics, computational methods, IT/security, and training, highlighting the breadth of bioinformatics in various GW schools and centers. This event offers a unique opportunity for attendees to engage in meaningful discussions, explore potential collaborations, and stay informed about the latest advancements in the field. The symposium is a great way to connect with the GW bioinformatics community.&lt;br /&gt;
&lt;br /&gt;
== Poster ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Participants are invited to submit a brief poster abstract by March 31st at 11:59 PM (ET). We encourage submissions from bioinformatics labs and also other labs that do not primarily focus on bioinformatics but have research relevant to bioinformatics topics. A select few will be chosen for lightning talks. Due to the limited number of poster boards, priority will be given to ensure each lab/group has at least one designated board. If the number of submitted poster abstracts exceeds the available poster boards, additional posters may be printed as flyers with QR codes, enabling attendees to scan, view, or download them electronically. &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Size:&#039;&#039;&#039; Poster sizes can be up to 48 (width) x 36 (height) inches.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Abstract Submission Portal:&#039;&#039;&#039; [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC Click here].&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Printing Instructions&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Download the poster template from GW Research Day Resources: [https://guides.himmelfarb.gwu.edu/ResearchDay/poster-design-layout Poster Design &amp;amp; Layout].&lt;br /&gt;
&lt;br /&gt;
After you create the PPT for your poster, request free poster printing from Gelman Library [https://library.gwu.edu/3-d-and-large-format-printing using this form].&lt;br /&gt;
&lt;br /&gt;
Submit your printing request by April 15th.&lt;br /&gt;
&lt;br /&gt;
== Schedule ([https://hivelab.biochemistry.gwu.edu/wiki/2025_Bioinformatics_Symposium#Talk_Titles Talk Titles]) ==&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Time&lt;br /&gt;
!Duration &lt;br /&gt;
!Topic&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Morning Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Registration, introduction, and health-related topics.&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|8:30 - 9:00 AM&lt;br /&gt;
|30 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Registration &amp;amp; coffee&amp;lt;/u&amp;gt;&lt;br /&gt;
Lead: Raechelle McCants, Jewel Dias&lt;br /&gt;
&lt;br /&gt;
* Registration&lt;br /&gt;
* Coffee&lt;br /&gt;
* Poster Setup&lt;br /&gt;
* Slide/AV setup &amp;amp; check&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|9 - 11:00 AM&lt;br /&gt;
|120 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Welcome&amp;lt;/u&amp;gt;&lt;br /&gt;
Rong Li (Chair, Dept. BMM, SMHS)&lt;br /&gt;
&lt;br /&gt;
Alison Hall (Senior Assoc Dean for Res, SMHS)&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Talks (10 mins + questions)&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Session chairs: Anelia Horvath, Raja Mazumder&lt;br /&gt;
|1. Anelia Horvath (Biochemistry)&lt;br /&gt;
2. Ljubica Caldovic (Children’s)&lt;br /&gt;
&lt;br /&gt;
3. Dae Young Kim (Children’s; Muhammad Rahman lab)&lt;br /&gt;
&lt;br /&gt;
4. Seth Berger (Children’s)&lt;br /&gt;
&lt;br /&gt;
5. Raja Mazumder (Biochemistry)&lt;br /&gt;
&lt;br /&gt;
6. Yi-Wen Chen (Children’s)&lt;br /&gt;
&lt;br /&gt;
7. Aintzane Santaquiteria Gil (Biology, Orti Lab)&lt;br /&gt;
&lt;br /&gt;
8. *Marc Garbey (Neurology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
9. Jane Ulianova&lt;br /&gt;
&lt;br /&gt;
10. Aiste Gulla&lt;br /&gt;
|-&lt;br /&gt;
|11 - 11:15 AM&lt;br /&gt;
|15 min&lt;br /&gt;
|Refreshment Break. &lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|11:15 - 12:30 PM&lt;br /&gt;
|75 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session chairs: Ali Rahnavard, Ljubica Caldovic&lt;br /&gt;
|1. Jo Lynne Rokita (Children’s)&lt;br /&gt;
2. Max Alekseyev (Milken)&lt;br /&gt;
&lt;br /&gt;
3. Erika Hubbard (Crandall lab, Milken)&lt;br /&gt;
&lt;br /&gt;
5. Ali R. Taheriyoun  (Rahnavard Lab, Milken)&lt;br /&gt;
&lt;br /&gt;
6. Hiroki Morizono (Children’s)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;One 4 mins Poster Flash Talk&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Vania Ballesteros Prieto&lt;br /&gt;
|-&lt;br /&gt;
|12:30 - 2 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Lunch and poster session&lt;br /&gt;
Lead: Anelia Horvath, Raechelle McCants, Jewel Dias&lt;br /&gt;
|&#039;&#039;&#039;Poster Judging Committee:&#039;&#039;&#039;&lt;br /&gt;
Anelia Horvath &lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard &lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono &lt;br /&gt;
&lt;br /&gt;
Yi-Wen Chen &lt;br /&gt;
&lt;br /&gt;
Jimmy Saw&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Afternoon Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Breadth of bioinformatics in biological research; IT/security; Training&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|2:00 - 3:30 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session Chairs: Howie Huang, Jimmy Saw, Chen Zeng&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;3:10 PM remarks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Evangeline J. Downie (Associate Dean for Research, CCAS)&lt;br /&gt;
|1. Mohammad Hammas Saeed (Howie Huang Lab, Engineering)&lt;br /&gt;
2. Nan Wu (ECE, Engineering)&lt;br /&gt;
&lt;br /&gt;
3. Aya Zirikly (Computer Science, GW/JHU)&lt;br /&gt;
&lt;br /&gt;
4. Chen Zeng (Physics)&lt;br /&gt;
&lt;br /&gt;
5. Weiqun Peng (Physics)&lt;br /&gt;
&lt;br /&gt;
6. Shekhar Nagar (Jimmy Saw Lab, Biology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Chelcie Puetz&lt;br /&gt;
&lt;br /&gt;
8. Kai Leung (Adam) Wong&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|3: 30 - 4:30 PM&lt;br /&gt;
|60 min&lt;br /&gt;
|Session Chair: Jonathon Keeney.&lt;br /&gt;
Co-chairs: Hiroki Morizono, Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
* 5 min. Introduction: IT, omics support, and related topics&lt;br /&gt;
&lt;br /&gt;
* Questions from audience&lt;br /&gt;
** Round table discussion&lt;br /&gt;
** Careers in bioinformatics&lt;br /&gt;
** Funding opportunities&lt;br /&gt;
|Clark Gaylord (Director, Research Technology Services)&lt;br /&gt;
Brian Choi (MFA)&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath (MGPC core/Bioinformatics support)&lt;br /&gt;
&lt;br /&gt;
Jack Villani (GW Genomics Core)&lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard (CBI Analytics)&lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono (Children&#039;s)&lt;br /&gt;
|-&lt;br /&gt;
|4:30 - 6:00 PM&lt;br /&gt;
|&lt;br /&gt;
|Networking event, poster prizes, and refreshments&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Keith Crandall&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Talk titles TBD&lt;br /&gt;
&lt;br /&gt;
== Presentation/Discussion Sessions ==&lt;br /&gt;
There will be a Q&amp;amp;A session and a networking event at the end of the workshop.&lt;br /&gt;
&lt;br /&gt;
== Scientific Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder (Symposium Chair), Anelia Horvath, Hiroki Morizono, Ljubica Caldovic, Keith Crandall, Jorge Sepulveda, Howie Huang, Chen Zeng, Jimmy Saw, Clark Gaylord.&lt;br /&gt;
&lt;br /&gt;
== Logistics Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder, Anelia Horvath, Raechelle McCants, Jewel Das. Student volunteers: Jane, Sofia, Allison, Chloe, Trupri and Lincoln.&lt;br /&gt;
&lt;br /&gt;
== Talk Titles ==&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Department&lt;br /&gt;
!School&lt;br /&gt;
!Title&lt;br /&gt;
|-&lt;br /&gt;
|Jo Lynne Rokita&lt;br /&gt;
|Pediatrics&lt;br /&gt;
|CNH&lt;br /&gt;
|Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
|Erika Hubbard&lt;br /&gt;
|Bioinformatics and Biostatistics&lt;br /&gt;
|SPH&lt;br /&gt;
|Machine Learning to Determine Endotypes of Lupus&lt;br /&gt;
|-&lt;br /&gt;
|Raja Mazumder&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|Integrating Biomedical Knowledgebases and Clinical Data for ML/AI-Powered Insights&lt;br /&gt;
|-&lt;br /&gt;
|Jack Villani&lt;br /&gt;
|GW Genomics Core&lt;br /&gt;
|SPH&lt;br /&gt;
|GW Genomics Core: An Introduction &amp;amp; Overview (panel discussion)&lt;br /&gt;
|-&lt;br /&gt;
| Ayah Zirikly || Computer Science || SEAS/Johns Hopkins University || Developments in NLP and AI for Mental Health: Insights from the Last Decade and Future Directions – A Focus on the CLPsych Workshop&lt;br /&gt;
|-&lt;br /&gt;
| Weiqun Peng || Department of Physics || CCAS || Finding structures and their associated functions in genome wide of profiles of chromatin architecture&lt;br /&gt;
|-&lt;br /&gt;
| Nan Wu || Electrical and Computer Engineering || SEAS || Directed Graph Representation Learning for Circuits, Boolean Networks, and Beyond&lt;br /&gt;
|-&lt;br /&gt;
| Seth Berger || Biochemistry and Molecular Medicine / Pediatrics || SMHS || Blindspots in Clinical Genetic Testing: Integration of Multiomics to Improve Diagnostic Yields&lt;br /&gt;
|-&lt;br /&gt;
| Ali Reza Taheriyoun || Biostatistics and Bioinformatics || SPH || Dynamics of Gut Microbiome and Metabolome of Moderate and Severe Obesity Patients Under Sleeve Gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Yi-Wen Chen || Biochemistry and Molecular Medicine / Pediatrics || SMHS || From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Biological Sciences || CCAS || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
|Dae Young Kim&lt;br /&gt;
|Center for Translational Research&lt;br /&gt;
|CNH&lt;br /&gt;
|mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|AI driven Functional SNV Discovery from long read Single-Cell RNA-Seq Data&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Active Learning of Data Science and Bioinformtics&lt;br /&gt;
|-&lt;br /&gt;
|Max Alekseyev&lt;br /&gt;
|Mathematics / Biostatistics &amp;amp; Bioinformatics&lt;br /&gt;
|CCAS/SPH&lt;br /&gt;
|Bioinformatics Meets Quantum Informatics: from Genome Rearrangements to Weingarten Calculus&lt;br /&gt;
|-&lt;br /&gt;
|Aintzane Santaquiteria Gil&lt;br /&gt;
|Department of Biological Sciences&lt;br /&gt;
|CCAS&lt;br /&gt;
|Using comparative genomics to link genes with convergently evolved traits. &lt;br /&gt;
|-&lt;br /&gt;
|Chen Zeng&lt;br /&gt;
|Department of Physics&lt;br /&gt;
|CCAS&lt;br /&gt;
|Modeling RNA-protein Interactions with network guided machine learning&lt;br /&gt;
|-&lt;br /&gt;
|Mohammad Hammas Saeed&lt;br /&gt;
|Electrical and Computer Engineering&lt;br /&gt;
|SEAS&lt;br /&gt;
|AI for Good: Leveraging Graph-Based Methods and Large Language Models to Address Real-World Challenges&lt;br /&gt;
|-&lt;br /&gt;
|Hiroki Morizono&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Biomedical data resources at Children&#039;s National&lt;br /&gt;
|-&lt;br /&gt;
|Marc Garbey/Henry Kaminski&lt;br /&gt;
|Neurology &amp;amp; Rehabilitation Medicine&lt;br /&gt;
|MFA&lt;br /&gt;
|Moving towards a digital twin for myasthenia gravis &#039;&#039;(tentative title)&#039;&#039;&lt;br /&gt;
|} &lt;br /&gt;
&lt;br /&gt;
== Acknowledgments ==&lt;br /&gt;
&lt;br /&gt;
Sponsors: Dept. of Biochemistry and Molecular Medicine (coffee, refreshments, lunch, poster prizes), IBS (poster boards), Milken Institute School of Public Health (happy hour, poster prizes). &lt;br /&gt;
&lt;br /&gt;
== Contact ==&lt;br /&gt;
&#039;&#039;&#039;For questions about registration, abstract submission or general inquiries, please contact:&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Raja Mazumder: mazumder@gwu.edu&lt;br /&gt;
&lt;br /&gt;
== Poster Presentations ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! Name !! Presentation Title&lt;br /&gt;
|-&lt;br /&gt;
| Sunisha Harish || AI-Driven Drug Response Prediction in Cancer Using Long-Read Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
| Dae Young Kim || mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
| *Vania Ballesteros Prieto || Uncovering the Contributions of Expressed Genetic Variants, Isoforms, and RNA Editing to Tumor Heterogeneity via Long-Read Single-Cell RNA-Seq Analysis&lt;br /&gt;
|-&lt;br /&gt;
| Sarah Tiufekchiev-Grieco || Promoting Resolution of Inflammation as a Potential Therapy for DMD&lt;br /&gt;
|-&lt;br /&gt;
| Karli Gilbert || Machine Learning Models Predict Treatment Outcome from Serum Proteins in Patients with Myasthenia Gravis that received Thymectomy&lt;br /&gt;
|-&lt;br /&gt;
| Reny Mathew || Identification of anti-helminthic drug resistance associated Quantitative trait loci (QTLs) in the canine hookworm, Ancylostoma caninum: A pooled-sequencing approach&lt;br /&gt;
|-&lt;br /&gt;
| Jo Lynne Rokita || Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
| Henry Kaminski || Moving towards a digital twin for myasthenia gravis &lt;br /&gt;
|-&lt;br /&gt;
| Huai Chin Chiang || Single-Cell Transcriptomic and Phenotypic Profiling Reveals T Cell Dysfunction in BRCA1 Mutation Carriers&lt;br /&gt;
|-&lt;br /&gt;
| Lori Krammer || GW-FEAST: a federated ecosystem for data analysis and machine learning&lt;br /&gt;
|-&lt;br /&gt;
| Medha Kurukunda || Analyzing the Use of Artificial Intelligence to Enhance the Identification of Food Insecure Areas in Washington, D.C. &lt;br /&gt;
|-&lt;br /&gt;
| Christie Rose Woodside || Bridging Genomics and Preparedness: Regulatory-Grade Genomics and Quality Control Metrics and Analysis for Emerging and Circulating Avian Influenza in 2024-2025&lt;br /&gt;
|-&lt;br /&gt;
| *Aiste Gulla, MD, PhD || Clinical Outcomes and Long-Term Survival of Pancreatic Cancers by Histological Sub-Type in the Epic Cosmos Database: Results from 2010-2025&lt;br /&gt;
|-&lt;br /&gt;
| *Jane Ulianova || Comparison of alignment performance between the T2T-CHM13 and GRCh38/hg38 reference genome assemblies for RNAseq&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Automated Tracking of Freezing Behavior in Paired House Mice Using DeepLabCut&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Behavioral Bioinformatics for Temporal Analysis of Freezing Behavior in Dyad Mice&lt;br /&gt;
|-&lt;br /&gt;
| Karim Ismat || Generation of a single nuclei RNA sequencing atlas of dysferlin-deficient skeletal muscle &lt;br /&gt;
|-&lt;br /&gt;
| *Kai Leung (Adam) Wong || An Experience of carrying out GPU-accelerated Genomic Analysis on Pegasus&lt;br /&gt;
|-&lt;br /&gt;
| Gabriel Batzli || Defining macrophage heterogeneity in murine skin wounds during inflammation  &lt;br /&gt;
|-&lt;br /&gt;
| Hovhannes Arestakesyan || Recurrent Somatic scSNVs in Single-Cell RNA-Seq: Insights into Tumor Heterogeneity and RNA-Level Variants&lt;br /&gt;
|-&lt;br /&gt;
| Chloe Sachs || Secretome distinguishes spectrum of NF1 associated peripheral nerve sheath tumors&lt;br /&gt;
|-&lt;br /&gt;
| Nikhil Arethiya || A Time-Series Approach to Glucose-Based Participant Classification&lt;br /&gt;
|-&lt;br /&gt;
| Siera Martinez || Hetero-GNN Link Prediction of RNA Editing in Single Cells&lt;br /&gt;
|-&lt;br /&gt;
| Renxi Li || Thirty-day outcomes of infrainguinal bypass surgery with concurrent iliac artery stenting in patients with chronic limb-threatening ischemia &lt;br /&gt;
|-&lt;br /&gt;
| Matthew Mollerus || ResLens: Detecting Antibiotic Resistance Genes with Large Language Models&lt;br /&gt;
|-&lt;br /&gt;
| Parimala  Nagaraj || Cybersecurity at the Intersection of Genomics and Data Science: Securing the Future of Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
| Cristina Fenollar Ferrer || Functional impact of PIP2 on the Serotonin Transporter (SERT)&lt;br /&gt;
|-&lt;br /&gt;
| Ali Taheriyoun || Dynamics of gut microbiome and metabolome of obesity patients under sleeve gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Irene Zohn || Next Generation sequencing approaches to understand developmental defects&lt;br /&gt;
|-&lt;br /&gt;
| Max Alekseyev || Bioinformatics meets Quantum Informatics: from genome rearrangements to Weingarten calculus&lt;br /&gt;
|-&lt;br /&gt;
| Lausanne Lee Oliver || Phylogenetic analysis of novel phages from Hawaiian fumaroles&lt;br /&gt;
|-&lt;br /&gt;
|Mahdi Baghbanzadeh&lt;br /&gt;
|seqLens: optimizing language models for genomic predictions&lt;br /&gt;
|-&lt;br /&gt;
|Dezhao Fu&lt;br /&gt;
|varLens - enhancers genetic testing using language models&lt;br /&gt;
|-&lt;br /&gt;
|Lilly Shaw&lt;br /&gt;
|Uncovering Shared and Unique Biomarkers Across 23 Cancer Types Using The Cancer Genome Atlas (TCGA)&lt;br /&gt;
|-&lt;br /&gt;
|Daniall Masood&lt;br /&gt;
|BiomarkerKB: A Comprehensive Biomarker Knowledgebase&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Active Learning of Data Science and Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
|Urnisha Bhuiyan&lt;br /&gt;
|GlyGen: A Comprehensive Resource for Glycoscience Data Integration and Discovery&lt;br /&gt;
|-&lt;br /&gt;
|Surajit Bhattacharya&lt;br /&gt;
|Redefining Human Airway Biology in Children from The Top Down: Unique Features of the Nasal Airway Epithelium.&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|A Machine Learning Approach to Functional SNV Discovery via Isoform-Aware Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
|Christie Rose Woodside&lt;br /&gt;
|Enhanced QC Metrics for Reference-Grade Genomic Data&lt;br /&gt;
|-&lt;br /&gt;
|Yi-Wen Chen&lt;br /&gt;
|From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
|Pia Sen&lt;br /&gt;
|Investigating the role of bacteriophage diversity in Hawaiian steam vent microbial communities&lt;br /&gt;
|-&lt;br /&gt;
|Emily Williams&lt;br /&gt;
|TRIM28 regulates endogenous retroviral element expression in prostate cancer&lt;br /&gt;
|-&lt;br /&gt;
|Cadina Powell&lt;br /&gt;
|Be Smart And Use Smartphones for Telemedicine: Narrative Review &lt;br /&gt;
|-&lt;br /&gt;
|Xinyang Zhang&lt;br /&gt;
|Meta-analytic microbiome target discovery for immune checkpoint inhibitor response in advanced melanoma&lt;br /&gt;
|-&lt;br /&gt;
|Cyrus Chun Hong Au Yeung&lt;br /&gt;
|Leveraging Large Language Models for Scalable Glycan-Disease Relation Extraction&lt;br /&gt;
|-&lt;br /&gt;
|Ashley Garrison&lt;br /&gt;
|Gut Microbiome Composition as an Indicator of Preclinical Alzheimer&#039;s Disease&lt;br /&gt;
|-&lt;br /&gt;
|*Chelcie Puetz&lt;br /&gt;
|Combined Neuroinflammatory and Neurovascular Molecular Screening for Early Detection of Blood-Brain Barrier Dysfunction in Patients with Traumatic Brain Injury&lt;br /&gt;
|-&lt;br /&gt;
|Ranojoy Chatterjee&lt;br /&gt;
|cellSight: Enhanced Single-Cell Analysis Platform with Comprehensive Cell Communication Analysis.&lt;br /&gt;
|-&lt;br /&gt;
|Ishita Chopra&lt;br /&gt;
|Characterizing Cell Interaction and Gene Expression&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Flash talks&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=817</id>
		<title>2025 Bioinformatics Symposium</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=817"/>
		<updated>2025-04-26T12:47:07Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Poster Presentations */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{DISPLAYTITLE: 2025 Bioinformatics Symposium}}&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title&#039;&#039;&#039;: 2025 Inaugural GW Bioinformatics Symposium &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;When&#039;&#039;&#039;: April 29th 2025, 9am to 6pm&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Venue&#039;&#039;&#039;: Talks: SEH B1220. Refreshments, lunch, and posters: Green wall area (SEH B1167)&lt;br /&gt;
&lt;br /&gt;
Join us for a full-day, all-hands GW Bioinformatics Symposium featuring posters, talks, and roundtable discussions. Open to GW students, staff, and faculty! &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;NOTE: We have received nearly 130 registrations, while SEH B1220 has a seating capacity of 90. Be sure to arrive early to secure a spot. For those who cannot be accommodated in the main room, we’ve arranged an overflow space in GWCC 8040 Conference Room, where the sessions will be live-streamed.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;REGISTRATION IS CLOSED. Event Registration:&#039;&#039;&#039; Space is limited. Please register by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; for the event through this &#039;&#039;&#039;&amp;lt;big&amp;gt;[https://docs.google.com/forms/d/e/1FAIpQLSd_VfXIL_S59cVgOBxx_0b0E-wMBphWbBVuK6-JOSm9-cqiJA/viewform?usp=sharing form]&amp;lt;/big&amp;gt;&#039;&#039;&#039;. If you encounter any issues, please email Raja Mazumder (mazumder@gwu.edu) your name and the lab you are representing and he will register you.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;ABSTRACT SUBMISSION IS CLOSED. Abstract submission:&#039;&#039;&#039; Please submit your abstract by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; through [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC &#039;&#039;&#039;&amp;lt;big&amp;gt;REDCap&amp;lt;/big&amp;gt;&#039;&#039;&#039;]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;OPT-OUT LUNCH PICKUP.&#039;&#039;&#039; We’re excited by the overwhelming response. Almost 130 participants from nearly all GW schools have signed up. Please note that seating in the main room is limited to the first 90 attendees. We encourage you to arrive early to secure a seat. For those who arrive later, we’re working to set up a spillover room with TV monitors so everyone can still follow the sessions. Lunch will be provided for all attendees who plan to stay for most of the day. If you’re attending only briefly and do not plan to pick up lunch, please let us know to help minimize food waste. You can either fill out this [https://docs.google.com/forms/d/e/1FAIpQLScWaw6JFsbtQgcdsk9XCZQMJ0mMb3Z0UR5uHZnTZ1DgBYJlDQ/viewform?usp=header form] or email mazumder@gwu.edu. We appreciate your understanding and cooperation.&lt;br /&gt;
&lt;br /&gt;
== Abstract/Overview ==&lt;br /&gt;
&lt;br /&gt;
The GW Bioinformatics Symposium on April 29, 2025, a full-day event is designed to bring together faculty, staff, and student bioinformatics researchers and also researchers who use bioinformatics in their labs,  from across GW to foster networking, collaboration, and knowledge exchange. The symposium will feature talks from GW labs that focus on bioinformatics and related research, poster presentations, roundtable discussions, and sessions on resources, funding and career opportunities in bioinformatics. Topics will span bioinformatics, computational methods, IT/security, and training, highlighting the breadth of bioinformatics in various GW schools and centers. This event offers a unique opportunity for attendees to engage in meaningful discussions, explore potential collaborations, and stay informed about the latest advancements in the field. The symposium is a great way to connect with the GW bioinformatics community.&lt;br /&gt;
&lt;br /&gt;
== Poster ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Participants are invited to submit a brief poster abstract by March 31st at 11:59 PM (ET). We encourage submissions from bioinformatics labs and also other labs that do not primarily focus on bioinformatics but have research relevant to bioinformatics topics. A select few will be chosen for lightning talks. Due to the limited number of poster boards, priority will be given to ensure each lab/group has at least one designated board. If the number of submitted poster abstracts exceeds the available poster boards, additional posters may be printed as flyers with QR codes, enabling attendees to scan, view, or download them electronically. &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Size:&#039;&#039;&#039; Poster sizes can be up to 48 (width) x 36 (height) inches.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Abstract Submission Portal:&#039;&#039;&#039; [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC Click here].&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Printing Instructions&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Download the poster template from GW Research Day Resources: [https://guides.himmelfarb.gwu.edu/ResearchDay/poster-design-layout Poster Design &amp;amp; Layout].&lt;br /&gt;
&lt;br /&gt;
After you create the PPT for your poster, request free poster printing from Gelman Library [https://library.gwu.edu/3-d-and-large-format-printing using this form].&lt;br /&gt;
&lt;br /&gt;
Submit your printing request by April 15th.&lt;br /&gt;
&lt;br /&gt;
== Schedule ([https://hivelab.biochemistry.gwu.edu/wiki/2025_Bioinformatics_Symposium#Talk_Titles Talk Titles]) ==&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Time&lt;br /&gt;
!Duration &lt;br /&gt;
!Topic&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Morning Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Registration, introduction, and health-related topics.&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|8:30 - 9:00 AM&lt;br /&gt;
|30 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Registration &amp;amp; coffee&amp;lt;/u&amp;gt;&lt;br /&gt;
Lead: Raechelle McCants, Jewel Dias&lt;br /&gt;
&lt;br /&gt;
* Registration&lt;br /&gt;
* Coffee&lt;br /&gt;
* Poster Setup&lt;br /&gt;
* Slide/AV setup &amp;amp; check&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|9 - 11:00 AM&lt;br /&gt;
|120 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Welcome&amp;lt;/u&amp;gt;&lt;br /&gt;
Rong Li (Chair, Dept. BMM, SMHS)&lt;br /&gt;
&lt;br /&gt;
Alison Hall (Senior Assoc Dean for Res, SMHS)&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Talks (10 mins + questions)&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Session chairs: Anelia Horvath, Raja Mazumder&lt;br /&gt;
|1. Anelia Horvath (Biochemistry)&lt;br /&gt;
2. Ljubica Caldovic (Children’s)&lt;br /&gt;
&lt;br /&gt;
3. Dae Young Kim (Children’s; Muhammad Rahman lab)&lt;br /&gt;
&lt;br /&gt;
4. Seth Berger (Children’s)&lt;br /&gt;
&lt;br /&gt;
5. Raja Mazumder (Biochemistry)&lt;br /&gt;
&lt;br /&gt;
6. Yi-Wen Chen (Children’s)&lt;br /&gt;
&lt;br /&gt;
7. Aintzane Santaquiteria Gil (Biology, Orti Lab)&lt;br /&gt;
&lt;br /&gt;
8. *Marc Garbey (Neurology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
9. Jane Ulianova&lt;br /&gt;
&lt;br /&gt;
10. Aiste Gulla&lt;br /&gt;
|-&lt;br /&gt;
|11 - 11:15 AM&lt;br /&gt;
|15 min&lt;br /&gt;
|Refreshment Break. &lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|11:15 - 12:30 PM&lt;br /&gt;
|75 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session chairs: Ali Rahnavard, Ljubica Caldovic&lt;br /&gt;
|1. Jo Lynne Rokita (Children’s)&lt;br /&gt;
2. Max Alekseyev (Milken)&lt;br /&gt;
&lt;br /&gt;
3. Erika Hubbard (Crandall lab, Milken)&lt;br /&gt;
&lt;br /&gt;
5. Ali R. Taheriyoun  (Rahnavard Lab, Milken)&lt;br /&gt;
&lt;br /&gt;
6. Hiroki Morizono (Children’s)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;One 4 mins Poster Flash Talk&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Vania Ballesteros Prieto&lt;br /&gt;
|-&lt;br /&gt;
|12:30 - 2 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Lunch and poster session&lt;br /&gt;
Lead: Anelia Horvath, Raechelle McCants, Jewel Dias&lt;br /&gt;
|&#039;&#039;&#039;Poster Judging Committee:&#039;&#039;&#039;&lt;br /&gt;
Anelia Horvath &lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard &lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono &lt;br /&gt;
&lt;br /&gt;
Yi-Wen Chen &lt;br /&gt;
&lt;br /&gt;
Jimmy Saw&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Afternoon Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Breadth of bioinformatics in biological research; IT/security; Training&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|2:00 - 3:30 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session Chairs: Howie Huang, Jimmy Saw, Chen Zeng&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;3:10 PM remarks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Evangeline J. Downie (Associate Dean for Research, CCAS)&lt;br /&gt;
|1. Mohammad Hammas Saeed (Howie Huang Lab, Engineering)&lt;br /&gt;
2. Nan Wu (ECE, Engineering)&lt;br /&gt;
&lt;br /&gt;
3. Aya Zirikly (Computer Science, GW/JHU)&lt;br /&gt;
&lt;br /&gt;
4. Chen Zeng (Physics)&lt;br /&gt;
&lt;br /&gt;
5. Weiqun Peng (Physics)&lt;br /&gt;
&lt;br /&gt;
6. Shekhar Nagar (Jimmy Saw Lab, Biology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Chelcie Puetz&lt;br /&gt;
&lt;br /&gt;
8. Kai Leung (Adam) Wong&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|3: 30 - 4:30 PM&lt;br /&gt;
|60 min&lt;br /&gt;
|Session Chair: Jonathon Keeney.&lt;br /&gt;
Co-chairs: Hiroki Morizono, Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
* 5 min. Introduction: IT, omics support, and related topics&lt;br /&gt;
&lt;br /&gt;
* Questions from audience&lt;br /&gt;
** Round table discussion&lt;br /&gt;
** Careers in bioinformatics&lt;br /&gt;
** Funding opportunities&lt;br /&gt;
|Clark Gaylord (Director, Research Technology Services)&lt;br /&gt;
Brian Choi (MFA)&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath (MGPC core/Bioinformatics support)&lt;br /&gt;
&lt;br /&gt;
Jack Villani (GW Genomics Core)&lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard (CBI Analytics)&lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono (Children&#039;s)&lt;br /&gt;
|-&lt;br /&gt;
|4:30 - 6:00 PM&lt;br /&gt;
|&lt;br /&gt;
|Networking event, poster prizes, and refreshments&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Keith Crandall&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Talk titles TBD&lt;br /&gt;
&lt;br /&gt;
== Presentation/Discussion Sessions ==&lt;br /&gt;
There will be a Q&amp;amp;A session and a networking event at the end of the workshop.&lt;br /&gt;
&lt;br /&gt;
== Scientific Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder (Symposium Chair), Anelia Horvath, Hiroki Morizono, Ljubica Caldovic, Keith Crandall, Jorge Sepulveda, Howie Huang, Chen Zeng, Jimmy Saw, Clark Gaylord.&lt;br /&gt;
&lt;br /&gt;
== Logistics Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder, Anelia Horvath, Raechelle McCants, Jewel Das. Student volunteers: Jane, Sofia, Allison, Chloe, Trupri and Lincoln.&lt;br /&gt;
&lt;br /&gt;
== Talk Titles ==&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Department&lt;br /&gt;
!School&lt;br /&gt;
!Title&lt;br /&gt;
|-&lt;br /&gt;
|Jo Lynne Rokita&lt;br /&gt;
|Pediatrics&lt;br /&gt;
|CNH&lt;br /&gt;
|Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
|Erika Hubbard&lt;br /&gt;
|Bioinformatics and Biostatistics&lt;br /&gt;
|SPH&lt;br /&gt;
|Machine Learning to Determine Endotypes of Lupus&lt;br /&gt;
|-&lt;br /&gt;
|Raja Mazumder&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|Integrating Biomedical Knowledgebases and Clinical Data for ML/AI-Powered Insights&lt;br /&gt;
|-&lt;br /&gt;
|Jack Villani&lt;br /&gt;
|GW Genomics Core&lt;br /&gt;
|SPH&lt;br /&gt;
|GW Genomics Core: An Introduction &amp;amp; Overview (panel discussion)&lt;br /&gt;
|-&lt;br /&gt;
| Ayah Zirikly || Computer Science || SEAS/Johns Hopkins University || Developments in NLP and AI for Mental Health: Insights from the Last Decade and Future Directions – A Focus on the CLPsych Workshop&lt;br /&gt;
|-&lt;br /&gt;
| Weiqun Peng || Department of Physics || CCAS || Finding structures and their associated functions in genome wide of profiles of chromatin architecture&lt;br /&gt;
|-&lt;br /&gt;
| Nan Wu || Electrical and Computer Engineering || SEAS || Directed Graph Representation Learning for Circuits, Boolean Networks, and Beyond&lt;br /&gt;
|-&lt;br /&gt;
| Seth Berger || Biochemistry and Molecular Medicine / Pediatrics || SMHS || Blindspots in Clinical Genetic Testing: Integration of Multiomics to Improve Diagnostic Yields&lt;br /&gt;
|-&lt;br /&gt;
| Ali Reza Taheriyoun || Biostatistics and Bioinformatics || SPH || Dynamics of Gut Microbiome and Metabolome of Moderate and Severe Obesity Patients Under Sleeve Gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Yi-Wen Chen || Biochemistry and Molecular Medicine / Pediatrics || SMHS || From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Biological Sciences || CCAS || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
|Dae Young Kim&lt;br /&gt;
|Center for Translational Research&lt;br /&gt;
|CNH&lt;br /&gt;
|mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|AI driven Functional SNV Discovery from long read Single-Cell RNA-Seq Data&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Active Learning of Data Science and Bioinformtics&lt;br /&gt;
|-&lt;br /&gt;
|Max Alekseyev&lt;br /&gt;
|Mathematics / Biostatistics &amp;amp; Bioinformatics&lt;br /&gt;
|CCAS/SPH&lt;br /&gt;
|Bioinformatics Meets Quantum Informatics: from Genome Rearrangements to Weingarten Calculus&lt;br /&gt;
|-&lt;br /&gt;
|Aintzane Santaquiteria Gil&lt;br /&gt;
|Department of Biological Sciences&lt;br /&gt;
|CCAS&lt;br /&gt;
|Using comparative genomics to link genes with convergently evolved traits. &lt;br /&gt;
|-&lt;br /&gt;
|Chen Zeng&lt;br /&gt;
|Department of Physics&lt;br /&gt;
|CCAS&lt;br /&gt;
|Modeling RNA-protein Interactions with network guided machine learning&lt;br /&gt;
|-&lt;br /&gt;
|Mohammad Hammas Saeed&lt;br /&gt;
|Electrical and Computer Engineering&lt;br /&gt;
|SEAS&lt;br /&gt;
|AI for Good: Leveraging Graph-Based Methods and Large Language Models to Address Real-World Challenges&lt;br /&gt;
|-&lt;br /&gt;
|Hiroki Morizono&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Biomedical data resources at Children&#039;s National&lt;br /&gt;
|-&lt;br /&gt;
|Marc Garbey/Henry Kaminski&lt;br /&gt;
|Neurology &amp;amp; Rehabilitation Medicine&lt;br /&gt;
|MFA&lt;br /&gt;
|Moving towards a digital twin for myasthenia gravis &#039;&#039;(tentative title)&#039;&#039;&lt;br /&gt;
|} &lt;br /&gt;
&lt;br /&gt;
== Acknowledgments ==&lt;br /&gt;
&lt;br /&gt;
Sponsors: Dept. of Biochemistry and Molecular Medicine (coffee, refreshments, lunch, poster prizes), IBS (poster boards), Milken Institute School of Public Health (happy hour, poster prizes). &lt;br /&gt;
&lt;br /&gt;
== Contact ==&lt;br /&gt;
&#039;&#039;&#039;For questions about registration, abstract submission or general inquiries, please contact:&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Raja Mazumder: mazumder@gwu.edu&lt;br /&gt;
&lt;br /&gt;
== Poster Presentations ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! Name !! Presentation Title&lt;br /&gt;
|-&lt;br /&gt;
| Sunisha Harish || AI-Driven Drug Response Prediction in Cancer Using Long-Read Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
| Dae Young Kim || mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
| *Vania Ballesteros Prieto || Uncovering the Contributions of Expressed Genetic Variants, Isoforms, and RNA Editing to Tumor Heterogeneity via Long-Read Single-Cell RNA-Seq Analysis&lt;br /&gt;
|-&lt;br /&gt;
| Sarah Tiufekchiev-Grieco || Promoting Resolution of Inflammation as a Potential Therapy for DMD&lt;br /&gt;
|-&lt;br /&gt;
| Karli Gilbert || Machine Learning Models Predict Treatment Outcome from Serum Proteins in Patients with Myasthenia Gravis that received Thymectomy&lt;br /&gt;
|-&lt;br /&gt;
| Reny Mathew || Identification of anti-helminthic drug resistance associated Quantitative trait loci (QTLs) in the canine hookworm, Ancylostoma caninum: A pooled-sequencing approach&lt;br /&gt;
|-&lt;br /&gt;
| Jo Lynne Rokita || Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
| Henry Kaminski || Moving towards a digital twin for myasthenia gravis &lt;br /&gt;
|-&lt;br /&gt;
| Huai Chin Chiang || Single-Cell Transcriptomic and Phenotypic Profiling Reveals T Cell Dysfunction in BRCA1 Mutation Carriers&lt;br /&gt;
|-&lt;br /&gt;
| Lori Krammer || GW-FEAST: a federated ecosystem for data analysis and machine learning&lt;br /&gt;
|-&lt;br /&gt;
| Medha Kurukunda || Analyzing the Use of Artificial Intelligence to Enhance the Identification of Food Insecure Areas in Washington, D.C. &lt;br /&gt;
|-&lt;br /&gt;
| Christie Rose Woodside || Bridging Genomics and Preparedness: Regulatory-Grade Genomics and Quality Control Metrics and Analysis for Emerging and Circulating Avian Influenza in 2024-2025&lt;br /&gt;
|-&lt;br /&gt;
| *Aiste Gulla, MD, PhD || Clinical Outcomes and Long-Term Survival of Pancreatic Cancers by Histological Sub-Type in the Epic Cosmos Database: Results from 2010-2025&lt;br /&gt;
|-&lt;br /&gt;
| *Jane Ulianova || Comparison of alignment performance between the T2T-CHM13 and GRCh38/hg38 reference genome assemblies for RNAseq&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Automated Tracking of Freezing Behavior in Paired House Mice Using DeepLabCut&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Behavioral Bioinformatics for Temporal Analysis of Freezing Behavior in Dyad Mice&lt;br /&gt;
|-&lt;br /&gt;
| Karim Ismat || Generation of a single nuclei RNA sequencing atlas of dysferlin-deficient skeletal muscle &lt;br /&gt;
|-&lt;br /&gt;
| *Kai Leung (Adam) Wong || An Experience of carrying out GPU-accelerated Genomic Analysis on Pegasus&lt;br /&gt;
|-&lt;br /&gt;
| Gabriel Batzli || Defining macrophage heterogeneity in murine skin wounds during inflammation  &lt;br /&gt;
|-&lt;br /&gt;
| Hovhannes Arestakesyan || Recurrent Somatic scSNVs in Single-Cell RNA-Seq: Insights into Tumor Heterogeneity and RNA-Level Variants&lt;br /&gt;
|-&lt;br /&gt;
| Chloe Sachs || Secretome distinguishes spectrum of NF1 associated peripheral nerve sheath tumors&lt;br /&gt;
|-&lt;br /&gt;
| Nikhil Arethiya || A Time-Series Approach to Glucose-Based Participant Classification&lt;br /&gt;
|-&lt;br /&gt;
| Siera Martinez || Hetero-GNN Link Prediction of RNA Editing in Single Cells&lt;br /&gt;
|-&lt;br /&gt;
| Renxi Li || Thirty-day outcomes of infrainguinal bypass surgery with concurrent iliac artery stenting in patients with chronic limb-threatening ischemia &lt;br /&gt;
|-&lt;br /&gt;
| Matthew Mollerus || ResLens: Detecting Antibiotic Resistance Genes with Large Language Models&lt;br /&gt;
|-&lt;br /&gt;
| Parimala  Nagaraj || Cybersecurity at the Intersection of Genomics and Data Science: Securing the Future of Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
| Cristina Fenollar Ferrer || Functional impact of PIP2 on the Serotonin Transporter (SERT)&lt;br /&gt;
|-&lt;br /&gt;
| Ali Taheriyoun || Dynamics of gut microbiome and metabolome of obesity patients under sleeve gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Irene Zohn || Next Generation sequencing approaches to understand developmental defects&lt;br /&gt;
|-&lt;br /&gt;
| Max Alekseyev || Bioinformatics meets Quantum Informatics: from genome rearrangements to Weingarten calculus&lt;br /&gt;
|-&lt;br /&gt;
| Lausanne Lee Oliver || Phylogenetic analysis of novel phages from Hawaiian fumaroles&lt;br /&gt;
|-&lt;br /&gt;
|Mahdi Baghbanzadeh&lt;br /&gt;
|seqLens: optimizing language models for genomic predictions&lt;br /&gt;
|-&lt;br /&gt;
|Dezhao Fu&lt;br /&gt;
|varLens - enhancers genetic testing using language models&lt;br /&gt;
|-&lt;br /&gt;
|Lilly Shaw&lt;br /&gt;
|Uncovering Shared and Unique Biomarkers Across 23 Cancer Types Using The Cancer Genome Atlas (TCGA)&lt;br /&gt;
|-&lt;br /&gt;
|Daniall Masood&lt;br /&gt;
|BiomarkerKB: A Comprehensive Biomarker Knowledgebase&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Active Learning of Data Science and Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
|Urnisha Bhuiyan&lt;br /&gt;
|GlyGen: A Comprehensive Resource for Glycoscience Data Integration and Discovery&lt;br /&gt;
|-&lt;br /&gt;
|Surajit Bhattacharya&lt;br /&gt;
|Redefining Human Airway Biology in Children from The Top Down: Unique Features of the Nasal Airway Epithelium.&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|A Machine Learning Approach to Functional SNV Discovery via Isoform-Aware Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
|Christie Rose Woodside&lt;br /&gt;
|Enhanced QC Metrics for Reference-Grade Genomic Data&lt;br /&gt;
|-&lt;br /&gt;
|Yi-Wen Chen&lt;br /&gt;
|From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
|Pia Sen&lt;br /&gt;
|Investigating the role of bacteriophage diversity in Hawaiian steam vent microbial communities&lt;br /&gt;
|-&lt;br /&gt;
|Emily Williams*&lt;br /&gt;
|TRIM28 regulates endogenous retroviral element expression in prostate cancer&lt;br /&gt;
|-&lt;br /&gt;
|Cadina Powell&lt;br /&gt;
|Be Smart And Use Smartphones for Telemedicine: Narrative Review &lt;br /&gt;
|-&lt;br /&gt;
|Xinyang Zhang&lt;br /&gt;
|Meta-analytic microbiome target discovery for immune checkpoint inhibitor response in advanced melanoma&lt;br /&gt;
|-&lt;br /&gt;
|Cyrus Chun Hong Au Yeung&lt;br /&gt;
|Leveraging Large Language Models for Scalable Glycan-Disease Relation Extraction&lt;br /&gt;
|-&lt;br /&gt;
|Ashley Garrison&lt;br /&gt;
|Gut Microbiome Composition as an Indicator of Preclinical Alzheimer&#039;s Disease&lt;br /&gt;
|-&lt;br /&gt;
|*Chelcie Puetz&lt;br /&gt;
|Combined Neuroinflammatory and Neurovascular Molecular Screening for Early Detection of Blood-Brain Barrier Dysfunction in Patients with Traumatic Brain Injury&lt;br /&gt;
|-&lt;br /&gt;
|Ranojoy Chatterjee&lt;br /&gt;
|cellSight: Enhanced Single-Cell Analysis Platform with Comprehensive Cell Communication Analysis.&lt;br /&gt;
|-&lt;br /&gt;
|Ishita Chopra&lt;br /&gt;
|Characterizing Cell Interaction and Gene Expression&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=816</id>
		<title>2025 Bioinformatics Symposium</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=816"/>
		<updated>2025-04-26T12:20:43Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Poster */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{DISPLAYTITLE: 2025 Bioinformatics Symposium}}&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title&#039;&#039;&#039;: 2025 Inaugural GW Bioinformatics Symposium &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;When&#039;&#039;&#039;: April 29th 2025, 9am to 6pm&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Venue&#039;&#039;&#039;: Talks: SEH B1220. Refreshments, lunch, and posters: Green wall area (SEH B1167)&lt;br /&gt;
&lt;br /&gt;
Join us for a full-day, all-hands GW Bioinformatics Symposium featuring posters, talks, and roundtable discussions. Open to GW students, staff, and faculty! &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;NOTE: We have received nearly 130 registrations, while SEH B1220 has a seating capacity of 90. Be sure to arrive early to secure a spot. For those who cannot be accommodated in the main room, we’ve arranged an overflow space in GWCC 8040 Conference Room, where the sessions will be live-streamed.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;REGISTRATION IS CLOSED. Event Registration:&#039;&#039;&#039; Space is limited. Please register by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; for the event through this &#039;&#039;&#039;&amp;lt;big&amp;gt;[https://docs.google.com/forms/d/e/1FAIpQLSd_VfXIL_S59cVgOBxx_0b0E-wMBphWbBVuK6-JOSm9-cqiJA/viewform?usp=sharing form]&amp;lt;/big&amp;gt;&#039;&#039;&#039;. If you encounter any issues, please email Raja Mazumder (mazumder@gwu.edu) your name and the lab you are representing and he will register you.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;ABSTRACT SUBMISSION IS CLOSED. Abstract submission:&#039;&#039;&#039; Please submit your abstract by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; through [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC &#039;&#039;&#039;&amp;lt;big&amp;gt;REDCap&amp;lt;/big&amp;gt;&#039;&#039;&#039;]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;OPT-OUT LUNCH PICKUP.&#039;&#039;&#039; We’re excited by the overwhelming response. Almost 130 participants from nearly all GW schools have signed up. Please note that seating in the main room is limited to the first 90 attendees. We encourage you to arrive early to secure a seat. For those who arrive later, we’re working to set up a spillover room with TV monitors so everyone can still follow the sessions. Lunch will be provided for all attendees who plan to stay for most of the day. If you’re attending only briefly and do not plan to pick up lunch, please let us know to help minimize food waste. You can either fill out this [https://docs.google.com/forms/d/e/1FAIpQLScWaw6JFsbtQgcdsk9XCZQMJ0mMb3Z0UR5uHZnTZ1DgBYJlDQ/viewform?usp=header form] or email mazumder@gwu.edu. We appreciate your understanding and cooperation.&lt;br /&gt;
&lt;br /&gt;
== Abstract/Overview ==&lt;br /&gt;
&lt;br /&gt;
The GW Bioinformatics Symposium on April 29, 2025, a full-day event is designed to bring together faculty, staff, and student bioinformatics researchers and also researchers who use bioinformatics in their labs,  from across GW to foster networking, collaboration, and knowledge exchange. The symposium will feature talks from GW labs that focus on bioinformatics and related research, poster presentations, roundtable discussions, and sessions on resources, funding and career opportunities in bioinformatics. Topics will span bioinformatics, computational methods, IT/security, and training, highlighting the breadth of bioinformatics in various GW schools and centers. This event offers a unique opportunity for attendees to engage in meaningful discussions, explore potential collaborations, and stay informed about the latest advancements in the field. The symposium is a great way to connect with the GW bioinformatics community.&lt;br /&gt;
&lt;br /&gt;
== Poster ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Participants are invited to submit a brief poster abstract by March 31st at 11:59 PM (ET). We encourage submissions from bioinformatics labs and also other labs that do not primarily focus on bioinformatics but have research relevant to bioinformatics topics. A select few will be chosen for lightning talks. Due to the limited number of poster boards, priority will be given to ensure each lab/group has at least one designated board. If the number of submitted poster abstracts exceeds the available poster boards, additional posters may be printed as flyers with QR codes, enabling attendees to scan, view, or download them electronically. &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Size:&#039;&#039;&#039; Poster sizes can be up to 48 (width) x 36 (height) inches.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Abstract Submission Portal:&#039;&#039;&#039; [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC Click here].&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Printing Instructions&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Download the poster template from GW Research Day Resources: [https://guides.himmelfarb.gwu.edu/ResearchDay/poster-design-layout Poster Design &amp;amp; Layout].&lt;br /&gt;
&lt;br /&gt;
After you create the PPT for your poster, request free poster printing from Gelman Library [https://library.gwu.edu/3-d-and-large-format-printing using this form].&lt;br /&gt;
&lt;br /&gt;
Submit your printing request by April 15th.&lt;br /&gt;
&lt;br /&gt;
== Schedule ([https://hivelab.biochemistry.gwu.edu/wiki/2025_Bioinformatics_Symposium#Talk_Titles Talk Titles]) ==&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Time&lt;br /&gt;
!Duration &lt;br /&gt;
!Topic&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Morning Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Registration, introduction, and health-related topics.&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|8:30 - 9:00 AM&lt;br /&gt;
|30 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Registration &amp;amp; coffee&amp;lt;/u&amp;gt;&lt;br /&gt;
Lead: Raechelle McCants, Jewel Dias&lt;br /&gt;
&lt;br /&gt;
* Registration&lt;br /&gt;
* Coffee&lt;br /&gt;
* Poster Setup&lt;br /&gt;
* Slide/AV setup &amp;amp; check&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|9 - 11:00 AM&lt;br /&gt;
|120 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Welcome&amp;lt;/u&amp;gt;&lt;br /&gt;
Rong Li (Chair, Dept. BMM, SMHS)&lt;br /&gt;
&lt;br /&gt;
Alison Hall (Senior Assoc Dean for Res, SMHS)&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Talks (10 mins + questions)&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Session chairs: Anelia Horvath, Raja Mazumder&lt;br /&gt;
|1. Anelia Horvath (Biochemistry)&lt;br /&gt;
2. Ljubica Caldovic (Children’s)&lt;br /&gt;
&lt;br /&gt;
3. Dae Young Kim (Children’s; Muhammad Rahman lab)&lt;br /&gt;
&lt;br /&gt;
4. Seth Berger (Children’s)&lt;br /&gt;
&lt;br /&gt;
5. Raja Mazumder (Biochemistry)&lt;br /&gt;
&lt;br /&gt;
6. Yi-Wen Chen (Children’s)&lt;br /&gt;
&lt;br /&gt;
7. Aintzane Santaquiteria Gil (Biology, Orti Lab)&lt;br /&gt;
&lt;br /&gt;
8. *Marc Garbey (Neurology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
9. Jane Ulianova&lt;br /&gt;
&lt;br /&gt;
10. Aiste Gulla&lt;br /&gt;
|-&lt;br /&gt;
|11 - 11:15 AM&lt;br /&gt;
|15 min&lt;br /&gt;
|Refreshment Break. &lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|11:15 - 12:30 PM&lt;br /&gt;
|75 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session chairs: Ali Rahnavard, Ljubica Caldovic&lt;br /&gt;
|1. Jo Lynne Rokita (Children’s)&lt;br /&gt;
2. Max Alekseyev (Milken)&lt;br /&gt;
&lt;br /&gt;
3. Erika Hubbard (Crandall lab, Milken)&lt;br /&gt;
&lt;br /&gt;
5. Ali R. Taheriyoun  (Rahnavard Lab, Milken)&lt;br /&gt;
&lt;br /&gt;
6. Hiroki Morizono (Children’s)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;One 4 mins Poster Flash Talk&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Vania Ballesteros Prieto&lt;br /&gt;
|-&lt;br /&gt;
|12:30 - 2 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Lunch and poster session&lt;br /&gt;
Lead: Anelia Horvath, Raechelle McCants, Jewel Dias&lt;br /&gt;
|&#039;&#039;&#039;Poster Judging Committee:&#039;&#039;&#039;&lt;br /&gt;
Anelia Horvath &lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard &lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono &lt;br /&gt;
&lt;br /&gt;
Yi-Wen Chen &lt;br /&gt;
&lt;br /&gt;
Jimmy Saw&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Afternoon Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Breadth of bioinformatics in biological research; IT/security; Training&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|2:00 - 3:30 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session Chairs: Howie Huang, Jimmy Saw, Chen Zeng&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;3:10 PM remarks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Evangeline J. Downie (Associate Dean for Research, CCAS)&lt;br /&gt;
|1. Mohammad Hammas Saeed (Howie Huang Lab, Engineering)&lt;br /&gt;
2. Nan Wu (ECE, Engineering)&lt;br /&gt;
&lt;br /&gt;
3. Aya Zirikly (Computer Science, GW/JHU)&lt;br /&gt;
&lt;br /&gt;
4. Chen Zeng (Physics)&lt;br /&gt;
&lt;br /&gt;
5. Weiqun Peng (Physics)&lt;br /&gt;
&lt;br /&gt;
6. Shekhar Nagar (Jimmy Saw Lab, Biology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Chelcie Puetz&lt;br /&gt;
&lt;br /&gt;
8. Kai Leung (Adam) Wong&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|3: 30 - 4:30 PM&lt;br /&gt;
|60 min&lt;br /&gt;
|Session Chair: Jonathon Keeney.&lt;br /&gt;
Co-chairs: Hiroki Morizono, Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
* 5 min. Introduction: IT, omics support, and related topics&lt;br /&gt;
&lt;br /&gt;
* Questions from audience&lt;br /&gt;
** Round table discussion&lt;br /&gt;
** Careers in bioinformatics&lt;br /&gt;
** Funding opportunities&lt;br /&gt;
|Clark Gaylord (Director, Research Technology Services)&lt;br /&gt;
Brian Choi (MFA)&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath (MGPC core/Bioinformatics support)&lt;br /&gt;
&lt;br /&gt;
Jack Villani (GW Genomics Core)&lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard (CBI Analytics)&lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono (Children&#039;s)&lt;br /&gt;
|-&lt;br /&gt;
|4:30 - 6:00 PM&lt;br /&gt;
|&lt;br /&gt;
|Networking event, poster prizes, and refreshments&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Keith Crandall&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Talk titles TBD&lt;br /&gt;
&lt;br /&gt;
== Presentation/Discussion Sessions ==&lt;br /&gt;
There will be a Q&amp;amp;A session and a networking event at the end of the workshop.&lt;br /&gt;
&lt;br /&gt;
== Scientific Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder (Symposium Chair), Anelia Horvath, Hiroki Morizono, Ljubica Caldovic, Keith Crandall, Jorge Sepulveda, Howie Huang, Chen Zeng, Jimmy Saw, Clark Gaylord.&lt;br /&gt;
&lt;br /&gt;
== Logistics Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder, Anelia Horvath, Raechelle McCants, Jewel Das. Student volunteers: Jane, Sofia, Allison, Chloe, Trupri and Lincoln.&lt;br /&gt;
&lt;br /&gt;
== Talk Titles ==&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Department&lt;br /&gt;
!School&lt;br /&gt;
!Title&lt;br /&gt;
|-&lt;br /&gt;
|Jo Lynne Rokita&lt;br /&gt;
|Pediatrics&lt;br /&gt;
|CNH&lt;br /&gt;
|Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
|Erika Hubbard&lt;br /&gt;
|Bioinformatics and Biostatistics&lt;br /&gt;
|SPH&lt;br /&gt;
|Machine Learning to Determine Endotypes of Lupus&lt;br /&gt;
|-&lt;br /&gt;
|Raja Mazumder&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|Integrating Biomedical Knowledgebases and Clinical Data for ML/AI-Powered Insights&lt;br /&gt;
|-&lt;br /&gt;
|Jack Villani&lt;br /&gt;
|GW Genomics Core&lt;br /&gt;
|SPH&lt;br /&gt;
|GW Genomics Core: An Introduction &amp;amp; Overview (panel discussion)&lt;br /&gt;
|-&lt;br /&gt;
| Ayah Zirikly || Computer Science || SEAS/Johns Hopkins University || Developments in NLP and AI for Mental Health: Insights from the Last Decade and Future Directions – A Focus on the CLPsych Workshop&lt;br /&gt;
|-&lt;br /&gt;
| Weiqun Peng || Department of Physics || CCAS || Finding structures and their associated functions in genome wide of profiles of chromatin architecture&lt;br /&gt;
|-&lt;br /&gt;
| Nan Wu || Electrical and Computer Engineering || SEAS || Directed Graph Representation Learning for Circuits, Boolean Networks, and Beyond&lt;br /&gt;
|-&lt;br /&gt;
| Seth Berger || Biochemistry and Molecular Medicine / Pediatrics || SMHS || Blindspots in Clinical Genetic Testing: Integration of Multiomics to Improve Diagnostic Yields&lt;br /&gt;
|-&lt;br /&gt;
| Ali Reza Taheriyoun || Biostatistics and Bioinformatics || SPH || Dynamics of Gut Microbiome and Metabolome of Moderate and Severe Obesity Patients Under Sleeve Gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Yi-Wen Chen || Biochemistry and Molecular Medicine / Pediatrics || SMHS || From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Biological Sciences || CCAS || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
|Dae Young Kim&lt;br /&gt;
|Center for Translational Research&lt;br /&gt;
|CNH&lt;br /&gt;
|mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|AI driven Functional SNV Discovery from long read Single-Cell RNA-Seq Data&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Active Learning of Data Science and Bioinformtics&lt;br /&gt;
|-&lt;br /&gt;
|Max Alekseyev&lt;br /&gt;
|Mathematics / Biostatistics &amp;amp; Bioinformatics&lt;br /&gt;
|CCAS/SPH&lt;br /&gt;
|Bioinformatics Meets Quantum Informatics: from Genome Rearrangements to Weingarten Calculus&lt;br /&gt;
|-&lt;br /&gt;
|Aintzane Santaquiteria Gil&lt;br /&gt;
|Department of Biological Sciences&lt;br /&gt;
|CCAS&lt;br /&gt;
|Using comparative genomics to link genes with convergently evolved traits. &lt;br /&gt;
|-&lt;br /&gt;
|Chen Zeng&lt;br /&gt;
|Department of Physics&lt;br /&gt;
|CCAS&lt;br /&gt;
|Modeling RNA-protein Interactions with network guided machine learning&lt;br /&gt;
|-&lt;br /&gt;
|Mohammad Hammas Saeed&lt;br /&gt;
|Electrical and Computer Engineering&lt;br /&gt;
|SEAS&lt;br /&gt;
|AI for Good: Leveraging Graph-Based Methods and Large Language Models to Address Real-World Challenges&lt;br /&gt;
|-&lt;br /&gt;
|Hiroki Morizono&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Biomedical data resources at Children&#039;s National&lt;br /&gt;
|-&lt;br /&gt;
|Marc Garbey/Henry Kaminski&lt;br /&gt;
|Neurology &amp;amp; Rehabilitation Medicine&lt;br /&gt;
|MFA&lt;br /&gt;
|Moving towards a digital twin for myasthenia gravis &#039;&#039;(tentative title)&#039;&#039;&lt;br /&gt;
|} &lt;br /&gt;
&lt;br /&gt;
== Acknowledgments ==&lt;br /&gt;
&lt;br /&gt;
Sponsors: Dept. of Biochemistry and Molecular Medicine (coffee, refreshments, lunch, poster prizes), IBS (poster boards), Milken Institute School of Public Health (happy hour, poster prizes). &lt;br /&gt;
&lt;br /&gt;
== Contact ==&lt;br /&gt;
&#039;&#039;&#039;For questions about registration, abstract submission or general inquiries, please contact:&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Raja Mazumder: mazumder@gwu.edu&lt;br /&gt;
&lt;br /&gt;
== Poster Presentations ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! Name !! Presentation Title&lt;br /&gt;
|-&lt;br /&gt;
| Sunisha Harish || AI-Driven Drug Response Prediction in Cancer Using Long-Read Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
| Dae Young Kim || mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
| Vania Ballesteros Prieto || Uncovering the Contributions of Expressed Genetic Variants, Isoforms, and RNA Editing to Tumor Heterogeneity via Long-Read Single-Cell RNA-Seq Analysis&lt;br /&gt;
|-&lt;br /&gt;
| Sarah Tiufekchiev-Grieco || Promoting Resolution of Inflammation as a Potential Therapy for DMD&lt;br /&gt;
|-&lt;br /&gt;
| Karli Gilbert || Machine Learning Models Predict Treatment Outcome from Serum Proteins in Patients with Myasthenia Gravis that received Thymectomy&lt;br /&gt;
|-&lt;br /&gt;
| Reny Mathew || Identification of anti-helminthic drug resistance associated Quantitative trait loci (QTLs) in the canine hookworm, Ancylostoma caninum: A pooled-sequencing approach&lt;br /&gt;
|-&lt;br /&gt;
| Jo Lynne Rokita || Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
| Henry Kaminski || Moving towards a digital twin for myasthenia gravis &lt;br /&gt;
|-&lt;br /&gt;
| Huai Chin Chiang || Single-Cell Transcriptomic and Phenotypic Profiling Reveals T Cell Dysfunction in BRCA1 Mutation Carriers&lt;br /&gt;
|-&lt;br /&gt;
| Lori Krammer || GW-FEAST: a federated ecosystem for data analysis and machine learning&lt;br /&gt;
|-&lt;br /&gt;
| Medha Kurukunda || Analyzing the Use of Artificial Intelligence to Enhance the Identification of Food Insecure Areas in Washington, D.C. &lt;br /&gt;
|-&lt;br /&gt;
| Christie Rose Woodside || Bridging Genomics and Preparedness: Regulatory-Grade Genomics and Quality Control Metrics and Analysis for Emerging and Circulating Avian Influenza in 2024-2025&lt;br /&gt;
|-&lt;br /&gt;
| Aiste Gulla, MD, PhD || Clinical Outcomes and Long-Term Survival of Pancreatic Cancers by Histological Sub-Type in the Epic Cosmos Database: Results from 2010-2025&lt;br /&gt;
|-&lt;br /&gt;
| Jane Ulianova || Comparison of alignment performance between the T2T-CHM13 and GRCh38/hg38 reference genome assemblies for RNAseq&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Automated Tracking of Freezing Behavior in Paired House Mice Using DeepLabCut&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Behavioral Bioinformatics for Temporal Analysis of Freezing Behavior in Dyad Mice&lt;br /&gt;
|-&lt;br /&gt;
| Karim Ismat || Generation of a single nuclei RNA sequencing atlas of dysferlin-deficient skeletal muscle &lt;br /&gt;
|-&lt;br /&gt;
| Kai Leung (Adam) Wong || An Experience of carrying out GPU-accelerated Genomic Analysis on Pegasus&lt;br /&gt;
|-&lt;br /&gt;
| Gabriel Batzli || Defining macrophage heterogeneity in murine skin wounds during inflammation  &lt;br /&gt;
|-&lt;br /&gt;
| Hovhannes Arestakesyan || Recurrent Somatic scSNVs in Single-Cell RNA-Seq: Insights into Tumor Heterogeneity and RNA-Level Variants&lt;br /&gt;
|-&lt;br /&gt;
| Chloe Sachs || Secretome distinguishes spectrum of NF1 associated peripheral nerve sheath tumors&lt;br /&gt;
|-&lt;br /&gt;
| Nikhil Arethiya || A Time-Series Approach to Glucose-Based Participant Classification&lt;br /&gt;
|-&lt;br /&gt;
| Siera Martinez || Hetero-GNN Link Prediction of RNA Editing in Single Cells&lt;br /&gt;
|-&lt;br /&gt;
| Renxi Li || Thirty-day outcomes of infrainguinal bypass surgery with concurrent iliac artery stenting in patients with chronic limb-threatening ischemia &lt;br /&gt;
|-&lt;br /&gt;
| Matthew Mollerus || ResLens: Detecting Antibiotic Resistance Genes with Large Language Models&lt;br /&gt;
|-&lt;br /&gt;
| Parimala  Nagaraj || Cybersecurity at the Intersection of Genomics and Data Science: Securing the Future of Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
| Cristina Fenollar Ferrer || Functional impact of PIP2 on the Serotonin Transporter (SERT)&lt;br /&gt;
|-&lt;br /&gt;
| Ali Taheriyoun || Dynamics of gut microbiome and metabolome of obesity patients under sleeve gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Irene Zohn || Next Generation sequencing approaches to understand developmental defects&lt;br /&gt;
|-&lt;br /&gt;
| Max Alekseyev || Bioinformatics meets Quantum Informatics: from genome rearrangements to Weingarten calculus&lt;br /&gt;
|-&lt;br /&gt;
| Lausanne Lee Oliver || Phylogenetic analysis of novel phages from Hawaiian fumaroles&lt;br /&gt;
|-&lt;br /&gt;
|Mahdi Baghbanzadeh&lt;br /&gt;
|seqLens: optimizing language models for genomic predictions&lt;br /&gt;
|-&lt;br /&gt;
|Dezhao Fu&lt;br /&gt;
|varLens - enhancers genetic testing using language models&lt;br /&gt;
|-&lt;br /&gt;
|Lilly Shaw&lt;br /&gt;
|Uncovering Shared and Unique Biomarkers Across 23 Cancer Types Using The Cancer Genome Atlas (TCGA)&lt;br /&gt;
|-&lt;br /&gt;
|Daniall Masood&lt;br /&gt;
|BiomarkerKB: A Comprehensive Biomarker Knowledgebase&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Active Learning of Data Science and Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
|Urnisha Bhuiyan&lt;br /&gt;
|GlyGen: A Comprehensive Resource for Glycoscience Data Integration and Discovery&lt;br /&gt;
|-&lt;br /&gt;
|Surajit Bhattacharya&lt;br /&gt;
|Redefining Human Airway Biology in Children from The Top Down: Unique Features of the Nasal Airway Epithelium.&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|A Machine Learning Approach to Functional SNV Discovery via Isoform-Aware Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
|Christie Rose Woodside&lt;br /&gt;
|Enhanced QC Metrics for Reference-Grade Genomic Data&lt;br /&gt;
|-&lt;br /&gt;
|Yi-Wen Chen&lt;br /&gt;
|From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
|Pia Sen&lt;br /&gt;
|Investigating the role of bacteriophage diversity in Hawaiian steam vent microbial communities&lt;br /&gt;
|-&lt;br /&gt;
|Emily Williams*&lt;br /&gt;
|TRIM28 regulates endogenous retroviral element expression in prostate cancer&lt;br /&gt;
|-&lt;br /&gt;
|Cadina Powell&lt;br /&gt;
|Be Smart And Use Smartphones for Telemedicine: Narrative Review &lt;br /&gt;
|-&lt;br /&gt;
|Xinyang Zhang&lt;br /&gt;
|Meta-analytic microbiome target discovery for immune checkpoint inhibitor response in advanced melanoma&lt;br /&gt;
|-&lt;br /&gt;
|Cyrus Chun Hong Au Yeung&lt;br /&gt;
|Leveraging Large Language Models for Scalable Glycan-Disease Relation Extraction&lt;br /&gt;
|-&lt;br /&gt;
|Ashley Garrison&lt;br /&gt;
|Gut Microbiome Composition as an Indicator of Preclinical Alzheimer&#039;s Disease&lt;br /&gt;
|-&lt;br /&gt;
|Chelcie Puetz&lt;br /&gt;
|Combined Neuroinflammatory and Neurovascular Molecular Screening for Early Detection of Blood-Brain Barrier Dysfunction in Patients with Traumatic Brain Injury&lt;br /&gt;
|-&lt;br /&gt;
|Ranojoy Chatterjee&lt;br /&gt;
|cellSight: Enhanced Single-Cell Analysis Platform with Comprehensive Cell Communication Analysis.&lt;br /&gt;
|-&lt;br /&gt;
|Ishita Chopra&lt;br /&gt;
|Characterizing Cell Interaction and Gene Expression&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=815</id>
		<title>2025 Bioinformatics Symposium</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=815"/>
		<updated>2025-04-26T12:20:05Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Poster Presentations */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{DISPLAYTITLE: 2025 Bioinformatics Symposium}}&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title&#039;&#039;&#039;: 2025 Inaugural GW Bioinformatics Symposium &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;When&#039;&#039;&#039;: April 29th 2025, 9am to 6pm&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Venue&#039;&#039;&#039;: Talks: SEH B1220. Refreshments, lunch, and posters: Green wall area (SEH B1167)&lt;br /&gt;
&lt;br /&gt;
Join us for a full-day, all-hands GW Bioinformatics Symposium featuring posters, talks, and roundtable discussions. Open to GW students, staff, and faculty! &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;NOTE: We have received nearly 130 registrations, while SEH B1220 has a seating capacity of 90. Be sure to arrive early to secure a spot. For those who cannot be accommodated in the main room, we’ve arranged an overflow space in GWCC 8040 Conference Room, where the sessions will be live-streamed.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;REGISTRATION IS CLOSED. Event Registration:&#039;&#039;&#039; Space is limited. Please register by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; for the event through this &#039;&#039;&#039;&amp;lt;big&amp;gt;[https://docs.google.com/forms/d/e/1FAIpQLSd_VfXIL_S59cVgOBxx_0b0E-wMBphWbBVuK6-JOSm9-cqiJA/viewform?usp=sharing form]&amp;lt;/big&amp;gt;&#039;&#039;&#039;. If you encounter any issues, please email Raja Mazumder (mazumder@gwu.edu) your name and the lab you are representing and he will register you.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;ABSTRACT SUBMISSION IS CLOSED. Abstract submission:&#039;&#039;&#039; Please submit your abstract by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; through [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC &#039;&#039;&#039;&amp;lt;big&amp;gt;REDCap&amp;lt;/big&amp;gt;&#039;&#039;&#039;]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;OPT-OUT LUNCH PICKUP.&#039;&#039;&#039; We’re excited by the overwhelming response. Almost 130 participants from nearly all GW schools have signed up. Please note that seating in the main room is limited to the first 90 attendees. We encourage you to arrive early to secure a seat. For those who arrive later, we’re working to set up a spillover room with TV monitors so everyone can still follow the sessions. Lunch will be provided for all attendees who plan to stay for most of the day. If you’re attending only briefly and do not plan to pick up lunch, please let us know to help minimize food waste. You can either fill out this [https://docs.google.com/forms/d/e/1FAIpQLScWaw6JFsbtQgcdsk9XCZQMJ0mMb3Z0UR5uHZnTZ1DgBYJlDQ/viewform?usp=header form] or email mazumder@gwu.edu. We appreciate your understanding and cooperation.&lt;br /&gt;
&lt;br /&gt;
== Abstract/Overview ==&lt;br /&gt;
&lt;br /&gt;
The GW Bioinformatics Symposium on April 29, 2025, a full-day event is designed to bring together faculty, staff, and student bioinformatics researchers and also researchers who use bioinformatics in their labs,  from across GW to foster networking, collaboration, and knowledge exchange. The symposium will feature talks from GW labs that focus on bioinformatics and related research, poster presentations, roundtable discussions, and sessions on resources, funding and career opportunities in bioinformatics. Topics will span bioinformatics, computational methods, IT/security, and training, highlighting the breadth of bioinformatics in various GW schools and centers. This event offers a unique opportunity for attendees to engage in meaningful discussions, explore potential collaborations, and stay informed about the latest advancements in the field. The symposium is a great way to connect with the GW bioinformatics community.&lt;br /&gt;
&lt;br /&gt;
== Poster ==&lt;br /&gt;
Participants are invited to submit a brief poster abstract by March 31st at 11:59 PM (ET). We encourage submissions from bioinformatics labs and also other labs that do not primarily focus on bioinformatics but have research relevant to bioinformatics topics. A select few will be chosen for lightning talks. Due to the limited number of poster boards, priority will be given to ensure each lab/group has at least one designated board. If the number of submitted poster abstracts exceeds the available poster boards, additional posters may be printed as flyers with QR codes, enabling attendees to scan, view, or download them electronically. &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Size:&#039;&#039;&#039; Poster sizes can be up to 48 (width) x 36 (height) inches.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Abstract Submission Portal:&#039;&#039;&#039; [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC Click here].&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Printing Instructions&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Download the poster template from GW Research Day Resources: [https://guides.himmelfarb.gwu.edu/ResearchDay/poster-design-layout Poster Design &amp;amp; Layout].&lt;br /&gt;
&lt;br /&gt;
After you create the PPT for your poster, request free poster printing from Gelman Library [https://library.gwu.edu/3-d-and-large-format-printing using this form].&lt;br /&gt;
&lt;br /&gt;
Submit your printing request by April 15th.&lt;br /&gt;
&lt;br /&gt;
== Schedule ([https://hivelab.biochemistry.gwu.edu/wiki/2025_Bioinformatics_Symposium#Talk_Titles Talk Titles]) ==&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Time&lt;br /&gt;
!Duration &lt;br /&gt;
!Topic&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Morning Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Registration, introduction, and health-related topics.&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|8:30 - 9:00 AM&lt;br /&gt;
|30 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Registration &amp;amp; coffee&amp;lt;/u&amp;gt;&lt;br /&gt;
Lead: Raechelle McCants, Jewel Dias&lt;br /&gt;
&lt;br /&gt;
* Registration&lt;br /&gt;
* Coffee&lt;br /&gt;
* Poster Setup&lt;br /&gt;
* Slide/AV setup &amp;amp; check&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|9 - 11:00 AM&lt;br /&gt;
|120 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Welcome&amp;lt;/u&amp;gt;&lt;br /&gt;
Rong Li (Chair, Dept. BMM, SMHS)&lt;br /&gt;
&lt;br /&gt;
Alison Hall (Senior Assoc Dean for Res, SMHS)&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Talks (10 mins + questions)&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Session chairs: Anelia Horvath, Raja Mazumder&lt;br /&gt;
|1. Anelia Horvath (Biochemistry)&lt;br /&gt;
2. Ljubica Caldovic (Children’s)&lt;br /&gt;
&lt;br /&gt;
3. Dae Young Kim (Children’s; Muhammad Rahman lab)&lt;br /&gt;
&lt;br /&gt;
4. Seth Berger (Children’s)&lt;br /&gt;
&lt;br /&gt;
5. Raja Mazumder (Biochemistry)&lt;br /&gt;
&lt;br /&gt;
6. Yi-Wen Chen (Children’s)&lt;br /&gt;
&lt;br /&gt;
7. Aintzane Santaquiteria Gil (Biology, Orti Lab)&lt;br /&gt;
&lt;br /&gt;
8. *Marc Garbey (Neurology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
9. Jane Ulianova&lt;br /&gt;
&lt;br /&gt;
10. Aiste Gulla&lt;br /&gt;
|-&lt;br /&gt;
|11 - 11:15 AM&lt;br /&gt;
|15 min&lt;br /&gt;
|Refreshment Break. &lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|11:15 - 12:30 PM&lt;br /&gt;
|75 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session chairs: Ali Rahnavard, Ljubica Caldovic&lt;br /&gt;
|1. Jo Lynne Rokita (Children’s)&lt;br /&gt;
2. Max Alekseyev (Milken)&lt;br /&gt;
&lt;br /&gt;
3. Erika Hubbard (Crandall lab, Milken)&lt;br /&gt;
&lt;br /&gt;
5. Ali R. Taheriyoun  (Rahnavard Lab, Milken)&lt;br /&gt;
&lt;br /&gt;
6. Hiroki Morizono (Children’s)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;One 4 mins Poster Flash Talk&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Vania Ballesteros Prieto&lt;br /&gt;
|-&lt;br /&gt;
|12:30 - 2 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Lunch and poster session&lt;br /&gt;
Lead: Anelia Horvath, Raechelle McCants, Jewel Dias&lt;br /&gt;
|&#039;&#039;&#039;Poster Judging Committee:&#039;&#039;&#039;&lt;br /&gt;
Anelia Horvath &lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard &lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono &lt;br /&gt;
&lt;br /&gt;
Yi-Wen Chen &lt;br /&gt;
&lt;br /&gt;
Jimmy Saw&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Afternoon Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Breadth of bioinformatics in biological research; IT/security; Training&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|2:00 - 3:30 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session Chairs: Howie Huang, Jimmy Saw, Chen Zeng&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;3:10 PM remarks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Evangeline J. Downie (Associate Dean for Research, CCAS)&lt;br /&gt;
|1. Mohammad Hammas Saeed (Howie Huang Lab, Engineering)&lt;br /&gt;
2. Nan Wu (ECE, Engineering)&lt;br /&gt;
&lt;br /&gt;
3. Aya Zirikly (Computer Science, GW/JHU)&lt;br /&gt;
&lt;br /&gt;
4. Chen Zeng (Physics)&lt;br /&gt;
&lt;br /&gt;
5. Weiqun Peng (Physics)&lt;br /&gt;
&lt;br /&gt;
6. Shekhar Nagar (Jimmy Saw Lab, Biology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Chelcie Puetz&lt;br /&gt;
&lt;br /&gt;
8. Kai Leung (Adam) Wong&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|3: 30 - 4:30 PM&lt;br /&gt;
|60 min&lt;br /&gt;
|Session Chair: Jonathon Keeney.&lt;br /&gt;
Co-chairs: Hiroki Morizono, Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
* 5 min. Introduction: IT, omics support, and related topics&lt;br /&gt;
&lt;br /&gt;
* Questions from audience&lt;br /&gt;
** Round table discussion&lt;br /&gt;
** Careers in bioinformatics&lt;br /&gt;
** Funding opportunities&lt;br /&gt;
|Clark Gaylord (Director, Research Technology Services)&lt;br /&gt;
Brian Choi (MFA)&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath (MGPC core/Bioinformatics support)&lt;br /&gt;
&lt;br /&gt;
Jack Villani (GW Genomics Core)&lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard (CBI Analytics)&lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono (Children&#039;s)&lt;br /&gt;
|-&lt;br /&gt;
|4:30 - 6:00 PM&lt;br /&gt;
|&lt;br /&gt;
|Networking event, poster prizes, and refreshments&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Keith Crandall&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Talk titles TBD&lt;br /&gt;
&lt;br /&gt;
== Presentation/Discussion Sessions ==&lt;br /&gt;
There will be a Q&amp;amp;A session and a networking event at the end of the workshop.&lt;br /&gt;
&lt;br /&gt;
== Scientific Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder (Symposium Chair), Anelia Horvath, Hiroki Morizono, Ljubica Caldovic, Keith Crandall, Jorge Sepulveda, Howie Huang, Chen Zeng, Jimmy Saw, Clark Gaylord.&lt;br /&gt;
&lt;br /&gt;
== Logistics Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder, Anelia Horvath, Raechelle McCants, Jewel Das. Student volunteers: Jane, Sofia, Allison, Chloe, Trupri and Lincoln.&lt;br /&gt;
&lt;br /&gt;
== Talk Titles ==&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Department&lt;br /&gt;
!School&lt;br /&gt;
!Title&lt;br /&gt;
|-&lt;br /&gt;
|Jo Lynne Rokita&lt;br /&gt;
|Pediatrics&lt;br /&gt;
|CNH&lt;br /&gt;
|Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
|Erika Hubbard&lt;br /&gt;
|Bioinformatics and Biostatistics&lt;br /&gt;
|SPH&lt;br /&gt;
|Machine Learning to Determine Endotypes of Lupus&lt;br /&gt;
|-&lt;br /&gt;
|Raja Mazumder&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|Integrating Biomedical Knowledgebases and Clinical Data for ML/AI-Powered Insights&lt;br /&gt;
|-&lt;br /&gt;
|Jack Villani&lt;br /&gt;
|GW Genomics Core&lt;br /&gt;
|SPH&lt;br /&gt;
|GW Genomics Core: An Introduction &amp;amp; Overview (panel discussion)&lt;br /&gt;
|-&lt;br /&gt;
| Ayah Zirikly || Computer Science || SEAS/Johns Hopkins University || Developments in NLP and AI for Mental Health: Insights from the Last Decade and Future Directions – A Focus on the CLPsych Workshop&lt;br /&gt;
|-&lt;br /&gt;
| Weiqun Peng || Department of Physics || CCAS || Finding structures and their associated functions in genome wide of profiles of chromatin architecture&lt;br /&gt;
|-&lt;br /&gt;
| Nan Wu || Electrical and Computer Engineering || SEAS || Directed Graph Representation Learning for Circuits, Boolean Networks, and Beyond&lt;br /&gt;
|-&lt;br /&gt;
| Seth Berger || Biochemistry and Molecular Medicine / Pediatrics || SMHS || Blindspots in Clinical Genetic Testing: Integration of Multiomics to Improve Diagnostic Yields&lt;br /&gt;
|-&lt;br /&gt;
| Ali Reza Taheriyoun || Biostatistics and Bioinformatics || SPH || Dynamics of Gut Microbiome and Metabolome of Moderate and Severe Obesity Patients Under Sleeve Gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Yi-Wen Chen || Biochemistry and Molecular Medicine / Pediatrics || SMHS || From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Biological Sciences || CCAS || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
|Dae Young Kim&lt;br /&gt;
|Center for Translational Research&lt;br /&gt;
|CNH&lt;br /&gt;
|mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|AI driven Functional SNV Discovery from long read Single-Cell RNA-Seq Data&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Active Learning of Data Science and Bioinformtics&lt;br /&gt;
|-&lt;br /&gt;
|Max Alekseyev&lt;br /&gt;
|Mathematics / Biostatistics &amp;amp; Bioinformatics&lt;br /&gt;
|CCAS/SPH&lt;br /&gt;
|Bioinformatics Meets Quantum Informatics: from Genome Rearrangements to Weingarten Calculus&lt;br /&gt;
|-&lt;br /&gt;
|Aintzane Santaquiteria Gil&lt;br /&gt;
|Department of Biological Sciences&lt;br /&gt;
|CCAS&lt;br /&gt;
|Using comparative genomics to link genes with convergently evolved traits. &lt;br /&gt;
|-&lt;br /&gt;
|Chen Zeng&lt;br /&gt;
|Department of Physics&lt;br /&gt;
|CCAS&lt;br /&gt;
|Modeling RNA-protein Interactions with network guided machine learning&lt;br /&gt;
|-&lt;br /&gt;
|Mohammad Hammas Saeed&lt;br /&gt;
|Electrical and Computer Engineering&lt;br /&gt;
|SEAS&lt;br /&gt;
|AI for Good: Leveraging Graph-Based Methods and Large Language Models to Address Real-World Challenges&lt;br /&gt;
|-&lt;br /&gt;
|Hiroki Morizono&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Biomedical data resources at Children&#039;s National&lt;br /&gt;
|-&lt;br /&gt;
|Marc Garbey/Henry Kaminski&lt;br /&gt;
|Neurology &amp;amp; Rehabilitation Medicine&lt;br /&gt;
|MFA&lt;br /&gt;
|Moving towards a digital twin for myasthenia gravis &#039;&#039;(tentative title)&#039;&#039;&lt;br /&gt;
|} &lt;br /&gt;
&lt;br /&gt;
== Acknowledgments ==&lt;br /&gt;
&lt;br /&gt;
Sponsors: Dept. of Biochemistry and Molecular Medicine (coffee, refreshments, lunch, poster prizes), IBS (poster boards), Milken Institute School of Public Health (happy hour, poster prizes). &lt;br /&gt;
&lt;br /&gt;
== Contact ==&lt;br /&gt;
&#039;&#039;&#039;For questions about registration, abstract submission or general inquiries, please contact:&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Raja Mazumder: mazumder@gwu.edu&lt;br /&gt;
&lt;br /&gt;
== Poster Presentations ==&lt;br /&gt;
&#039;&#039;&#039;Poster setup: Poster numbers and poster category (AI/ML, Bioinformatics) will be distributed during registration.&#039;&#039;&#039; &lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
! Name !! Presentation Title&lt;br /&gt;
|-&lt;br /&gt;
| Sunisha Harish || AI-Driven Drug Response Prediction in Cancer Using Long-Read Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
| Dae Young Kim || mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
| Vania Ballesteros Prieto || Uncovering the Contributions of Expressed Genetic Variants, Isoforms, and RNA Editing to Tumor Heterogeneity via Long-Read Single-Cell RNA-Seq Analysis&lt;br /&gt;
|-&lt;br /&gt;
| Sarah Tiufekchiev-Grieco || Promoting Resolution of Inflammation as a Potential Therapy for DMD&lt;br /&gt;
|-&lt;br /&gt;
| Karli Gilbert || Machine Learning Models Predict Treatment Outcome from Serum Proteins in Patients with Myasthenia Gravis that received Thymectomy&lt;br /&gt;
|-&lt;br /&gt;
| Reny Mathew || Identification of anti-helminthic drug resistance associated Quantitative trait loci (QTLs) in the canine hookworm, Ancylostoma caninum: A pooled-sequencing approach&lt;br /&gt;
|-&lt;br /&gt;
| Jo Lynne Rokita || Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
| Henry Kaminski || Moving towards a digital twin for myasthenia gravis &lt;br /&gt;
|-&lt;br /&gt;
| Huai Chin Chiang || Single-Cell Transcriptomic and Phenotypic Profiling Reveals T Cell Dysfunction in BRCA1 Mutation Carriers&lt;br /&gt;
|-&lt;br /&gt;
| Lori Krammer || GW-FEAST: a federated ecosystem for data analysis and machine learning&lt;br /&gt;
|-&lt;br /&gt;
| Medha Kurukunda || Analyzing the Use of Artificial Intelligence to Enhance the Identification of Food Insecure Areas in Washington, D.C. &lt;br /&gt;
|-&lt;br /&gt;
| Christie Rose Woodside || Bridging Genomics and Preparedness: Regulatory-Grade Genomics and Quality Control Metrics and Analysis for Emerging and Circulating Avian Influenza in 2024-2025&lt;br /&gt;
|-&lt;br /&gt;
| Aiste Gulla, MD, PhD || Clinical Outcomes and Long-Term Survival of Pancreatic Cancers by Histological Sub-Type in the Epic Cosmos Database: Results from 2010-2025&lt;br /&gt;
|-&lt;br /&gt;
| Jane Ulianova || Comparison of alignment performance between the T2T-CHM13 and GRCh38/hg38 reference genome assemblies for RNAseq&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Automated Tracking of Freezing Behavior in Paired House Mice Using DeepLabCut&lt;br /&gt;
|-&lt;br /&gt;
| Zhe Yu || Behavioral Bioinformatics for Temporal Analysis of Freezing Behavior in Dyad Mice&lt;br /&gt;
|-&lt;br /&gt;
| Karim Ismat || Generation of a single nuclei RNA sequencing atlas of dysferlin-deficient skeletal muscle &lt;br /&gt;
|-&lt;br /&gt;
| Kai Leung (Adam) Wong || An Experience of carrying out GPU-accelerated Genomic Analysis on Pegasus&lt;br /&gt;
|-&lt;br /&gt;
| Gabriel Batzli || Defining macrophage heterogeneity in murine skin wounds during inflammation  &lt;br /&gt;
|-&lt;br /&gt;
| Hovhannes Arestakesyan || Recurrent Somatic scSNVs in Single-Cell RNA-Seq: Insights into Tumor Heterogeneity and RNA-Level Variants&lt;br /&gt;
|-&lt;br /&gt;
| Chloe Sachs || Secretome distinguishes spectrum of NF1 associated peripheral nerve sheath tumors&lt;br /&gt;
|-&lt;br /&gt;
| Nikhil Arethiya || A Time-Series Approach to Glucose-Based Participant Classification&lt;br /&gt;
|-&lt;br /&gt;
| Siera Martinez || Hetero-GNN Link Prediction of RNA Editing in Single Cells&lt;br /&gt;
|-&lt;br /&gt;
| Renxi Li || Thirty-day outcomes of infrainguinal bypass surgery with concurrent iliac artery stenting in patients with chronic limb-threatening ischemia &lt;br /&gt;
|-&lt;br /&gt;
| Matthew Mollerus || ResLens: Detecting Antibiotic Resistance Genes with Large Language Models&lt;br /&gt;
|-&lt;br /&gt;
| Parimala  Nagaraj || Cybersecurity at the Intersection of Genomics and Data Science: Securing the Future of Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
| Cristina Fenollar Ferrer || Functional impact of PIP2 on the Serotonin Transporter (SERT)&lt;br /&gt;
|-&lt;br /&gt;
| Ali Taheriyoun || Dynamics of gut microbiome and metabolome of obesity patients under sleeve gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Irene Zohn || Next Generation sequencing approaches to understand developmental defects&lt;br /&gt;
|-&lt;br /&gt;
| Max Alekseyev || Bioinformatics meets Quantum Informatics: from genome rearrangements to Weingarten calculus&lt;br /&gt;
|-&lt;br /&gt;
| Lausanne Lee Oliver || Phylogenetic analysis of novel phages from Hawaiian fumaroles&lt;br /&gt;
|-&lt;br /&gt;
|Mahdi Baghbanzadeh&lt;br /&gt;
|seqLens: optimizing language models for genomic predictions&lt;br /&gt;
|-&lt;br /&gt;
|Dezhao Fu&lt;br /&gt;
|varLens - enhancers genetic testing using language models&lt;br /&gt;
|-&lt;br /&gt;
|Lilly Shaw&lt;br /&gt;
|Uncovering Shared and Unique Biomarkers Across 23 Cancer Types Using The Cancer Genome Atlas (TCGA)&lt;br /&gt;
|-&lt;br /&gt;
|Daniall Masood&lt;br /&gt;
|BiomarkerKB: A Comprehensive Biomarker Knowledgebase&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Active Learning of Data Science and Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
|Urnisha Bhuiyan&lt;br /&gt;
|GlyGen: A Comprehensive Resource for Glycoscience Data Integration and Discovery&lt;br /&gt;
|-&lt;br /&gt;
|Surajit Bhattacharya&lt;br /&gt;
|Redefining Human Airway Biology in Children from The Top Down: Unique Features of the Nasal Airway Epithelium.&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|A Machine Learning Approach to Functional SNV Discovery via Isoform-Aware Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
|Christie Rose Woodside&lt;br /&gt;
|Enhanced QC Metrics for Reference-Grade Genomic Data&lt;br /&gt;
|-&lt;br /&gt;
|Yi-Wen Chen&lt;br /&gt;
|From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
|Pia Sen&lt;br /&gt;
|Investigating the role of bacteriophage diversity in Hawaiian steam vent microbial communities&lt;br /&gt;
|-&lt;br /&gt;
|Emily Williams*&lt;br /&gt;
|TRIM28 regulates endogenous retroviral element expression in prostate cancer&lt;br /&gt;
|-&lt;br /&gt;
|Cadina Powell&lt;br /&gt;
|Be Smart And Use Smartphones for Telemedicine: Narrative Review &lt;br /&gt;
|-&lt;br /&gt;
|Xinyang Zhang&lt;br /&gt;
|Meta-analytic microbiome target discovery for immune checkpoint inhibitor response in advanced melanoma&lt;br /&gt;
|-&lt;br /&gt;
|Cyrus Chun Hong Au Yeung&lt;br /&gt;
|Leveraging Large Language Models for Scalable Glycan-Disease Relation Extraction&lt;br /&gt;
|-&lt;br /&gt;
|Ashley Garrison&lt;br /&gt;
|Gut Microbiome Composition as an Indicator of Preclinical Alzheimer&#039;s Disease&lt;br /&gt;
|-&lt;br /&gt;
|Chelcie Puetz&lt;br /&gt;
|Combined Neuroinflammatory and Neurovascular Molecular Screening for Early Detection of Blood-Brain Barrier Dysfunction in Patients with Traumatic Brain Injury&lt;br /&gt;
|-&lt;br /&gt;
|Ranojoy Chatterjee&lt;br /&gt;
|cellSight: Enhanced Single-Cell Analysis Platform with Comprehensive Cell Communication Analysis.&lt;br /&gt;
|-&lt;br /&gt;
|Ishita Chopra&lt;br /&gt;
|Characterizing Cell Interaction and Gene Expression&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=793</id>
		<title>Volunteership 2025</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Volunteership_2025&amp;diff=793"/>
		<updated>2025-04-25T19:28:31Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Volunteers */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;h2&amp;gt;2025 Volunteer Program Details&amp;lt;/h2&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Dates&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;strong&amp;gt;Volunteer Zoom Kick-Off Meeting&amp;lt;/strong&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
May 26, 2025 | 3:30 to 4:30 PM&lt;br /&gt;
&lt;br /&gt;
&amp;lt;strong&amp;gt;Program Dates: June 2nd, 2025 – July 25th, 2025&amp;lt;/strong&amp;gt; (8 weeks)&amp;lt;br&amp;gt;&lt;br /&gt;
Monday to Friday | Remote | No breaks&lt;br /&gt;
&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Volunteer Expectations&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Daily progress updates via Slack (scrum).&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;Regular Zoom meetings with the assigned project point of contact.&amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;Expected to dedicate 5–6 hours per day to project work, with the remaining time focused on skill development or reading. &amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&amp;lt;p style=&amp;quot;color: red;&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;Important:&amp;lt;/strong&amp;gt; If the scrum is not updated for 2 consecutive days, the candidate will be &amp;lt;u&amp;gt;automatically dropped&amp;lt;/u&amp;gt; from the program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Potential Projects&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;BiomarkerKB ([https://biomarkerkb.org biomarkerkb.org]) project: Biomarker curation project. Involves reading papers and collecting biomarkers.&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;GlyGen ([https://glygen.org glygen.org]) project: Review glycomics and glycoproteomics data and curate tissue, disease, and other related information. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;ARGOS ([https://argosdb.org argosdb.org]) project: Analyze genomics data using HIVE to identify reference genome assemblies. &amp;lt;/li&amp;gt;&amp;lt;li&amp;gt;PredictMod ([https://hivelab.biochemistry.gwu.edu/predictmod hivelab.biochemistry.gwu.edu/predictmod]) project. Identifying datasets and harmonizing them so that they can be used to generate ML models.  &amp;lt;/li&amp;gt;&amp;lt;/ol&amp;gt;&#039;&#039;Note: Individuals involved in the above projects with a background in programming and/or machine learning may also undertake additional tasks to support the development of ML models, which can be integrated into PredictMod or used to enhance AI/ML-ready datasets within GlyGen.&#039;&#039;&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;1. BiomarkerKB Biocuration Project Ideas&amp;lt;/h4&amp;gt;POC: Daniall Masood&lt;br /&gt;
# Curate biomarkers for a specific disease (Alzheimers)&lt;br /&gt;
## The student would be doing manual curation for about 4 weeks, with regular check-ins with me to ensure it is being done correctly.&lt;br /&gt;
## The next 4 weeks can be dedicated to developing an LLM or an automated process to extract biomarker details with data collected in the first 4 weeks as training data/example data.&lt;br /&gt;
# Top 50 biomarkers&lt;br /&gt;
## Curate the top 50 biomarkers for biomarkerkb.org.&lt;br /&gt;
## Define what constitutes a top 50 biomarker.&lt;br /&gt;
## Begin curating biomarkers from different sources and papers by collecting fields mentioned in the data model, as well as collecting cross-references.&lt;br /&gt;
# Biocuration of biomarkers from NLP/LLM work&lt;br /&gt;
## Use the biomarkers collected from NLP work.&lt;br /&gt;
## Curate biomarkers. Data provided was not provided in the biomarker data model.&lt;br /&gt;
## While curating the biomarkers, check if data collected from NLP is correct.&lt;br /&gt;
## After completion, the student can start using curated data to work on the NLP/LLM method.&lt;br /&gt;
# Curate biomarkers for a treatment&lt;br /&gt;
## See #1 above.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas, diseases, treatments, or methods they want to focus on, please reach out to daniallmasood@gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&lt;br /&gt;
&lt;br /&gt;
==== 2. GlyGen Biocuration Project Ideas ====&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
Over the last three decades, numerous glycomics database projects have been initiated to collect valuable information about glycans, proteins, and their interactions. Some of these databases have been discontinued due to the end of project funding. However, the data within these databases remains highly valuable to the community. Integrating these datasets into modern databases or knowledgebases, such as GlyGen, presents a challenge because much of the valuable metadata (e.g., species, tissue, disease, cell line) annotations are free-text terms that do not align with established standard dictionaries and ontologies used in modern resources. Automated matching of this information with dictionaries or ontologies is often not possible due to the use of synonyms, spelling errors, or abbreviations. For example, &amp;quot;human,&amp;quot; &amp;quot;man,&amp;quot; and &amp;quot;h. sapiens&amp;quot; all map to the scientific species name &amp;quot;Homo sapiens.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
The GlyGen project aims to make datasets from two older databases (CarbBank, CFG) accessible by migrating the data and metadata into our database. For this project, we are seeking curators with a medical or biology background who are interested in helping map metadata terms from these old databases to standard dictionaries and ontologies.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using internet resources (e.g., Google, Wikipedia) to identify terms used in the old database.&lt;br /&gt;
# Mapping identified terms to corresponding dictionaries and ontologies using the webpages and search interfaces of these projects.&lt;br /&gt;
# Finding papers based on titles and author lists that may contain spelling errors.&lt;br /&gt;
# Interacting and discussing with other curators in case terms are mapped differently.&lt;br /&gt;
&lt;br /&gt;
If you have any other ideas or methods you would like to focus on, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;3. GlyGen Publication Analysis Project Ideas&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Rene Ranzinger and Urnisha Bhuiyan&lt;br /&gt;
&lt;br /&gt;
One of the challenges for any bioinformatics project is understanding the size of its community, how well the project serves this community, and how widely its software/database is used. A potential solution is to analyze PubMed publication data. We are seeking applicants with programming skills (in Python or Java) to perform this analysis.&lt;br /&gt;
&lt;br /&gt;
The project involves:&lt;br /&gt;
&lt;br /&gt;
# Using the PubMed web API to filter publications based on keywords.&lt;br /&gt;
# Analyzing paper abstracts to identify research institutions and groups that form the community.&lt;br /&gt;
# Filtering the community list to exclude unrelated co-authors.&lt;br /&gt;
&lt;br /&gt;
A subproject will involve analyzing the full text of papers (when available) for keywords or resource and database names. The results of the analysis will be discussed with GlyGen project member who will suggest changes and improvements to the analysis and data presentation. Source code developed as part of this project will be documented and shared in a public GitHub repository. If you have any other ideas or methods you would like to explore, please reach out to rene@ccrc.uga.edu to discuss them.&lt;br /&gt;
&lt;br /&gt;
==== 4. PredictMod Machine Learning Project Ideas ====&lt;br /&gt;
POC: Lori Krammer&lt;br /&gt;
&lt;br /&gt;
Data Identification &amp;amp; Harmonization: &lt;br /&gt;
&lt;br /&gt;
# Identify publicly-available datasets from scientific literature that can be used for intervention outcome prediction models.&lt;br /&gt;
# Conduct data harmonization and pre-processing following established project pipelines to make ML-ready dataset and data dictionary.&lt;br /&gt;
&lt;br /&gt;
Modeling &amp;amp; Integration (for those with experience in programming/ML)&lt;br /&gt;
&lt;br /&gt;
# Perform model training and document ML pipeline in a BioCompute Object (BCO). &lt;br /&gt;
# Integrate model into PredictMod platform.&lt;br /&gt;
&lt;br /&gt;
Individuals with a background or interest in machine learning should reach out to lorikrammer@gwu.edu with a potential dataset to determine if it is a feasible project for the summer.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;5. FDA-ARGOS Computation and Pathogen Curation Project&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
POC: Christie Woodside&lt;br /&gt;
&lt;br /&gt;
# Update data tables for more efficient computations&lt;br /&gt;
## Student would review and input additional data and IDs in the tables/sheets used to perform computations. This would be manual work (but super important), but would require high attention to detail. ~1 week&#039;s worth of work&lt;br /&gt;
## Requires Python/shell coding background. Student would run scripts that prepare and format data tables that are pushed to data.argosdb.org. Coding knowledge is needed in case of errors, bugs, or other mishaps in the code. Ongoing work as computations are performed.&lt;br /&gt;
# Curate and report on current pathogens to upload to ARGOS&lt;br /&gt;
## Student would work on manual curation of circulating pathogens to be added to data.argosdb.org. Regular check-ins and reports of what was found. ~4-10 weeks worth of work&lt;br /&gt;
## Locate assembly IDs, reads, and metagenomic information for these pathogens to be used in computations and deposited into data.argosdb.org.&lt;br /&gt;
## Provide documentation on why they were curated, why they are important, how they were selected, and how data was collected.&lt;br /&gt;
&lt;br /&gt;
If the student has any other ideas or methods they want to focus on, please reach out to christie.woodside@email.gwu.edu to discuss your idea and check if it will be feasible as a project for the summer.&amp;lt;hr&amp;gt;&lt;br /&gt;
&amp;lt;h3&amp;gt;Requirements for Completion&amp;lt;/h3&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Note:&amp;lt;/strong&amp;gt; The following are &amp;lt;u&amp;gt;mandatory&amp;lt;/u&amp;gt;. Failure to complete any will result in an incomplete volunteer record.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Documentation&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;All volunteers must maintain adequate documentation of their work, including written protocols and scripts submitted to GitHub.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Written Report&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Submit a 1–2 page summary of your tasks and accomplishments to the Admin during the final week of your program.&amp;lt;/p&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h4&amp;gt;Presentation &amp;amp; Slide Submission&amp;lt;/h4&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Present your work last week of the 8-week period.&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;Slides must be submitted to the Admin Team and should include:&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A title slide with your name, date, and mentor&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;At least 3 content slides&amp;lt;/li&amp;gt;&lt;br /&gt;
  &amp;lt;li&amp;gt;A final slide with acknowledgements or references&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
Contact the Admin Team to access previously submitted slides.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Completion Certificate ===&lt;br /&gt;
A certificate of completion and a letter of recommendation will be provided to all participants who successfully complete the program.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
=== Contact ===&lt;br /&gt;
mazumder_lab@gwu.edu.&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
=== Volunteers ===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
|-&lt;br /&gt;
! Name&lt;br /&gt;
!Project&lt;br /&gt;
! Skills&lt;br /&gt;
!Projects Interested&lt;br /&gt;
|-&lt;br /&gt;
| Grace Chong&lt;br /&gt;
|PredictMod&lt;br /&gt;
| Python, Machine Learning, NLP, Analysis &amp;amp; Mathematics&lt;br /&gt;
|&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|Alma Ogunsina&lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|Molecular Biology, Python, ML, Data Analysis&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# ARGOS&lt;br /&gt;
# PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Diya Kamalabharathy&lt;br /&gt;
|PredictMod&lt;br /&gt;
|Computational Biology, Python Programming, Molecular Biology Techniques, Scientific Writing, Data Analysis&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# PredictMod Machine Learning&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|Harivinay P. Gujjula&lt;br /&gt;
|GlyGen curation&lt;br /&gt;
|Molecular Biology, Protein Analysis, Immunoassays, Spectroscopy Techniques, Genetic Engineering&lt;br /&gt;
|&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BioMarkerKB Biocuration&lt;br /&gt;
|-&lt;br /&gt;
|Miao Wang&lt;br /&gt;
|ARGOS&lt;br /&gt;
|Python, R, Machine Learning, Bioinformatics Tools (e.g., DESeq2, KEGG, GO, Ensembl VEP), SQL&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration Project Ideas&lt;br /&gt;
# FDA-ARGOS Computation and Pathogen Curation Project&lt;br /&gt;
# PredictMod Machine Learning Project Ideas&lt;br /&gt;
|-&lt;br /&gt;
|Nahom Abel&lt;br /&gt;
|GlyGen curation&lt;br /&gt;
|Finding datasets online, Working with Excel/CSV files, Research and Organizational Skills, Experience with Data Entry&lt;br /&gt;
|&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# PredictMod&lt;br /&gt;
|-&lt;br /&gt;
|Kajal Sanjaykumar Patel&lt;br /&gt;
|GlyGen and PubMed project&lt;br /&gt;
|Python, Apache, SparkETL, Machine Learning, AWS&lt;br /&gt;
|&lt;br /&gt;
#PredictMod&lt;br /&gt;
#BiomarkerKB&lt;br /&gt;
#GlyGen&lt;br /&gt;
|-&lt;br /&gt;
|John McCaffrey &lt;br /&gt;
|Biomarker curation&lt;br /&gt;
|Chemistry&lt;br /&gt;
|&lt;br /&gt;
# PredictMod&lt;br /&gt;
# BiomarkerKB&lt;br /&gt;
# GlyGen Biocuration &lt;br /&gt;
|-&lt;br /&gt;
|Nathan Ressom&lt;br /&gt;
|ARGOS&lt;br /&gt;
|Python, ML, AI, Web Development&lt;br /&gt;
|&lt;br /&gt;
# PredictMod &lt;br /&gt;
# GlyGen Biocuration&lt;br /&gt;
# BiomarkerKB Biocuration&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
	<entry>
		<id>https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=792</id>
		<title>2025 Bioinformatics Symposium</title>
		<link rel="alternate" type="text/html" href="https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=2025_Bioinformatics_Symposium&amp;diff=792"/>
		<updated>2025-04-25T12:19:30Z</updated>

		<summary type="html">&lt;p&gt;Mazumder: /* Schedule (Talk Titles) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{DISPLAYTITLE: 2025 Bioinformatics Symposium}}&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Title&#039;&#039;&#039;: 2025 Inaugural GW Bioinformatics Symposium &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;When&#039;&#039;&#039;: April 29th 2025, 9am to 6pm&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Venue&#039;&#039;&#039;: Talks: SEH B1220. Refreshments, lunch, and posters: Green wall area (SEH B1167)&lt;br /&gt;
&lt;br /&gt;
Join us for a full-day, all-hands GW Bioinformatics Symposium featuring posters, talks, and roundtable discussions. Open to GW students, staff, and faculty! &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;NOTE: We have received nearly 130 registrations, while SEH B1220 has a seating capacity of 90. Be sure to arrive early to secure a spot. For those who cannot be accommodated in the main room, we’ve arranged an overflow space in GWCC 8040 Conference Room, where the sessions will be live-streamed.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;REGISTRATION IS CLOSED. Event Registration:&#039;&#039;&#039; Space is limited. Please register by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; for the event through this &#039;&#039;&#039;&amp;lt;big&amp;gt;[https://docs.google.com/forms/d/e/1FAIpQLSd_VfXIL_S59cVgOBxx_0b0E-wMBphWbBVuK6-JOSm9-cqiJA/viewform?usp=sharing form]&amp;lt;/big&amp;gt;&#039;&#039;&#039;. If you encounter any issues, please email Raja Mazumder (mazumder@gwu.edu) your name and the lab you are representing and he will register you.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;ABSTRACT SUBMISSION IS CLOSED. Abstract submission:&#039;&#039;&#039; Please submit your abstract by &#039;&#039;&#039;&amp;lt;u&amp;gt;April 12th. 2025&amp;lt;/u&amp;gt;&#039;&#039;&#039; through [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC &#039;&#039;&#039;&amp;lt;big&amp;gt;REDCap&amp;lt;/big&amp;gt;&#039;&#039;&#039;]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;OPT-OUT LUNCH PICKUP.&#039;&#039;&#039; We’re excited by the overwhelming response. Almost 130 participants from nearly all GW schools have signed up. Please note that seating in the main room is limited to the first 90 attendees. We encourage you to arrive early to secure a seat. For those who arrive later, we’re working to set up a spillover room with TV monitors so everyone can still follow the sessions. Lunch will be provided for all attendees who plan to stay for most of the day. If you’re attending only briefly and do not plan to pick up lunch, please let us know to help minimize food waste. You can either fill out this [https://docs.google.com/forms/d/e/1FAIpQLScWaw6JFsbtQgcdsk9XCZQMJ0mMb3Z0UR5uHZnTZ1DgBYJlDQ/viewform?usp=header form] or email mazumder@gwu.edu. We appreciate your understanding and cooperation.&lt;br /&gt;
&lt;br /&gt;
== Abstract/Overview ==&lt;br /&gt;
&lt;br /&gt;
The GW Bioinformatics Symposium on April 29, 2025, a full-day event is designed to bring together faculty, staff, and student bioinformatics researchers and also researchers who use bioinformatics in their labs,  from across GW to foster networking, collaboration, and knowledge exchange. The symposium will feature talks from GW labs that focus on bioinformatics and related research, poster presentations, roundtable discussions, and sessions on resources, funding and career opportunities in bioinformatics. Topics will span bioinformatics, computational methods, IT/security, and training, highlighting the breadth of bioinformatics in various GW schools and centers. This event offers a unique opportunity for attendees to engage in meaningful discussions, explore potential collaborations, and stay informed about the latest advancements in the field. The symposium is a great way to connect with the GW bioinformatics community.&lt;br /&gt;
&lt;br /&gt;
== Poster ==&lt;br /&gt;
Participants are invited to submit a brief poster abstract by March 31st at 11:59 PM (ET). We encourage submissions from bioinformatics labs and also other labs that do not primarily focus on bioinformatics but have research relevant to bioinformatics topics. A select few will be chosen for lightning talks. Due to the limited number of poster boards, priority will be given to ensure each lab/group has at least one designated board. If the number of submitted poster abstracts exceeds the available poster boards, additional posters may be printed as flyers with QR codes, enabling attendees to scan, view, or download them electronically. &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Size:&#039;&#039;&#039; Poster sizes can be up to 48 (width) x 36 (height) inches.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Abstract Submission Portal:&#039;&#039;&#039; [https://cri-datacap.org/surveys/?s=8LFM3TKDWY338KDC Click here].&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Poster Printing Instructions&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Download the poster template from GW Research Day Resources: [https://guides.himmelfarb.gwu.edu/ResearchDay/poster-design-layout Poster Design &amp;amp; Layout].&lt;br /&gt;
&lt;br /&gt;
After you create the PPT for your poster, request free poster printing from Gelman Library [https://library.gwu.edu/3-d-and-large-format-printing using this form].&lt;br /&gt;
&lt;br /&gt;
Submit your printing request by April 15th.&lt;br /&gt;
&lt;br /&gt;
== Schedule ([https://hivelab.biochemistry.gwu.edu/wiki/2025_Bioinformatics_Symposium#Talk_Titles Talk Titles]) ==&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Time&lt;br /&gt;
!Duration &lt;br /&gt;
!Topic&lt;br /&gt;
!Presenter(s)&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Morning Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Registration, introduction, and health-related topics.&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|8:30 - 9:00 AM&lt;br /&gt;
|30 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Registration &amp;amp; coffee&amp;lt;/u&amp;gt;&lt;br /&gt;
Lead: Raechelle McCants, Jewel Dias&lt;br /&gt;
&lt;br /&gt;
* Registration&lt;br /&gt;
* Coffee&lt;br /&gt;
* Poster Setup&lt;br /&gt;
* Slide/AV setup &amp;amp; check&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|9 - 11:00 AM&lt;br /&gt;
|120 min&lt;br /&gt;
|&amp;lt;u&amp;gt;Welcome&amp;lt;/u&amp;gt;&lt;br /&gt;
Rong Li (Chair, Dept. BMM, SMHS)&lt;br /&gt;
&lt;br /&gt;
Alison Hall (Senior Assoc Dean for Res, SMHS)&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Talks (10 mins + questions)&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Session chairs: Anelia Horvath, Raja Mazumder&lt;br /&gt;
|1. Anelia Horvath (Biochemistry)&lt;br /&gt;
2. Ljubica Caldovic (Children’s)&lt;br /&gt;
&lt;br /&gt;
3. Dae Young Kim (Children’s; Muhammad Rahman lab)&lt;br /&gt;
&lt;br /&gt;
4. Seth Berger (Children’s)&lt;br /&gt;
&lt;br /&gt;
5. Raja Mazumder (Biochemistry)&lt;br /&gt;
&lt;br /&gt;
6. Yi-Wen Chen (Children’s)&lt;br /&gt;
&lt;br /&gt;
7. Aintzane Santaquiteria Gil (Biology, Orti Lab)&lt;br /&gt;
&lt;br /&gt;
8. *Marc Garbey (Neurology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
9. Jane Ulianova&lt;br /&gt;
&lt;br /&gt;
10. Aiste Gulla&lt;br /&gt;
|-&lt;br /&gt;
|11 - 11:15 AM&lt;br /&gt;
|15 min&lt;br /&gt;
|Refreshment Break. &lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|11:15 - 12:30 PM&lt;br /&gt;
|75 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session chairs: Ali Rahnavard, Ljubica Caldovic&lt;br /&gt;
|1. Jo Lynne Rokita (Children’s)&lt;br /&gt;
2. Max Alekseyev (Milken)&lt;br /&gt;
&lt;br /&gt;
3. Erika Hubbard (Crandall lab, Milken)&lt;br /&gt;
&lt;br /&gt;
5. Ali R. Taheriyoun  (Rahnavard Lab, Milken)&lt;br /&gt;
&lt;br /&gt;
6. Hiroki Morizono (Children’s)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;One 4 mins Poster Flash Talk&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Vania Ballesteros Prieto&lt;br /&gt;
|-&lt;br /&gt;
|12:30 - 2 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Lunch and poster session&lt;br /&gt;
Lead: Anelia Horvath, Raechelle McCants, Jewel Dias&lt;br /&gt;
|&#039;&#039;&#039;Poster Judging Committee:&#039;&#039;&#039;&lt;br /&gt;
Anelia Horvath &lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard &lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono &lt;br /&gt;
&lt;br /&gt;
Yi-Wen Chen &lt;br /&gt;
&lt;br /&gt;
Jimmy Saw&lt;br /&gt;
|-&lt;br /&gt;
| colspan=&amp;quot;4&amp;quot; |&#039;&#039;&#039;Afternoon Session&#039;&#039;&#039;&lt;br /&gt;
&#039;&#039;&#039;Topics: Breadth of bioinformatics in biological research; IT/security; Training&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|2:00 - 3:30 PM&lt;br /&gt;
|90 min&lt;br /&gt;
|Talks (10 mins + questions)&lt;br /&gt;
Session Chairs: Howie Huang, Jimmy Saw, Chen Zeng&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;3:10 PM remarks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Evangeline J. Downie (Associate Dean for Research, CCAS)&lt;br /&gt;
|1. Mohammad Hammas Saeed (Howie Huang Lab, Engineering)&lt;br /&gt;
2. Nan Wu (ECE, Engineering)&lt;br /&gt;
&lt;br /&gt;
3. Aya Zirikly (Computer Science, GW/JHU)&lt;br /&gt;
&lt;br /&gt;
4. Chen Zeng (Physics)&lt;br /&gt;
&lt;br /&gt;
5. Weiqun Peng (Physics)&lt;br /&gt;
&lt;br /&gt;
6. Shekhar Nagar (Jimmy Saw Lab, Biology)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;u&amp;gt;Two 4 mins Poster Flash Talks&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7. Chelcie Puetz&lt;br /&gt;
&lt;br /&gt;
8. Kai Leung (Adam) Wong&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|3: 30 - 4:30 PM&lt;br /&gt;
|60 min&lt;br /&gt;
|Session Chair: Jonathon Keeney.&lt;br /&gt;
Co-chairs: Hiroki Morizono, Anelia Horvath&lt;br /&gt;
&lt;br /&gt;
* 5 min. Introduction: IT, omics support, and related topics&lt;br /&gt;
&lt;br /&gt;
* Questions from audience&lt;br /&gt;
** Round table discussion&lt;br /&gt;
** Careers in bioinformatics&lt;br /&gt;
** Funding opportunities&lt;br /&gt;
|Clark Gaylord (Director, Research Technology Services)&lt;br /&gt;
Brian Choi (MFA)&lt;br /&gt;
&lt;br /&gt;
Anelia Horvath (MGPC core/Bioinformatics support)&lt;br /&gt;
&lt;br /&gt;
Jack Villani (GW Genomics Core)&lt;br /&gt;
&lt;br /&gt;
Ali Rahnavard (CBI Analytics)&lt;br /&gt;
&lt;br /&gt;
Hiroki Morizono (Children&#039;s)&lt;br /&gt;
|-&lt;br /&gt;
|4:30 - 6:00 PM&lt;br /&gt;
|&lt;br /&gt;
|Networking event, poster prizes, and refreshments&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
Jonathon Keeney&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder&lt;br /&gt;
&lt;br /&gt;
Keith Crandall&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;nowiki&amp;gt;*&amp;lt;/nowiki&amp;gt;Talk titles TBD&lt;br /&gt;
&lt;br /&gt;
== Presentation/Discussion Sessions ==&lt;br /&gt;
There will be a Q&amp;amp;A session and a networking event at the end of the workshop.&lt;br /&gt;
&lt;br /&gt;
== Scientific Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder (Symposium Chair), Anelia Horvath, Hiroki Morizono, Ljubica Caldovic, Keith Crandall, Jorge Sepulveda, Howie Huang, Chen Zeng, Jimmy Saw, Clark Gaylord.&lt;br /&gt;
&lt;br /&gt;
== Logistics Organizing Committee ==&lt;br /&gt;
&lt;br /&gt;
Raja Mazumder, Anelia Horvath, Raechelle McCants, Jewel Das. Student volunteers: Jane, Sofia, Allison, Chloe, Trupri and Lincoln.&lt;br /&gt;
&lt;br /&gt;
== Talk Titles ==&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Name&lt;br /&gt;
!Department&lt;br /&gt;
!School&lt;br /&gt;
!Title&lt;br /&gt;
|-&lt;br /&gt;
|Jo Lynne Rokita&lt;br /&gt;
|Pediatrics&lt;br /&gt;
|CNH&lt;br /&gt;
|Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
|Erika Hubbard&lt;br /&gt;
|Bioinformatics and Biostatistics&lt;br /&gt;
|SPH&lt;br /&gt;
|Machine Learning to Determine Endotypes of Lupus&lt;br /&gt;
|-&lt;br /&gt;
|Raja Mazumder&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|Integrating Biomedical Knowledgebases and Clinical Data for ML/AI-Powered Insights&lt;br /&gt;
|-&lt;br /&gt;
|Jack Villani&lt;br /&gt;
|GW Genomics Core&lt;br /&gt;
|SPH&lt;br /&gt;
|GW Genomics Core: An Introduction &amp;amp; Overview (panel discussion)&lt;br /&gt;
|-&lt;br /&gt;
| Ayah Zirikly || Computer Science || SEAS/Johns Hopkins University || Developments in NLP and AI for Mental Health: Insights from the Last Decade and Future Directions – A Focus on the CLPsych Workshop&lt;br /&gt;
|-&lt;br /&gt;
| Weiqun Peng || Department of Physics || CCAS || Finding structures and their associated functions in genome wide of profiles of chromatin architecture&lt;br /&gt;
|-&lt;br /&gt;
| Nan Wu || Electrical and Computer Engineering || SEAS || Directed Graph Representation Learning for Circuits, Boolean Networks, and Beyond&lt;br /&gt;
|-&lt;br /&gt;
| Seth Berger || Biochemistry and Molecular Medicine / Pediatrics || SMHS || Blindspots in Clinical Genetic Testing: Integration of Multiomics to Improve Diagnostic Yields&lt;br /&gt;
|-&lt;br /&gt;
| Ali Reza Taheriyoun || Biostatistics and Bioinformatics || SPH || Dynamics of Gut Microbiome and Metabolome of Moderate and Severe Obesity Patients Under Sleeve Gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
| Yi-Wen Chen || Biochemistry and Molecular Medicine / Pediatrics || SMHS || From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
| Shekhar Nagar || Biological Sciences || CCAS || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
|Dae Young Kim&lt;br /&gt;
|Center for Translational Research&lt;br /&gt;
|CNH&lt;br /&gt;
|mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|Biochemistry and Molecular Medicine&lt;br /&gt;
|SMHS&lt;br /&gt;
|AI driven Functional SNV Discovery from long read Single-Cell RNA-Seq Data&lt;br /&gt;
|-&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Active Learning of Data Science and Bioinformtics&lt;br /&gt;
|-&lt;br /&gt;
|Max Alekseyev&lt;br /&gt;
|Mathematics / Biostatistics &amp;amp; Bioinformatics&lt;br /&gt;
|CCAS/SPH&lt;br /&gt;
|Bioinformatics Meets Quantum Informatics: from Genome Rearrangements to Weingarten Calculus&lt;br /&gt;
|-&lt;br /&gt;
|Aintzane Santaquiteria Gil&lt;br /&gt;
|Department of Biological Sciences&lt;br /&gt;
|CCAS&lt;br /&gt;
|Using comparative genomics to link genes with convergently evolved traits. &lt;br /&gt;
|-&lt;br /&gt;
|Chen Zeng&lt;br /&gt;
|Department of Physics&lt;br /&gt;
|CCAS&lt;br /&gt;
|Modeling RNA-protein Interactions with network guided machine learning&lt;br /&gt;
|-&lt;br /&gt;
|Mohammad Hammas Saeed&lt;br /&gt;
|Electrical and Computer Engineering&lt;br /&gt;
|SEAS&lt;br /&gt;
|AI for Good: Leveraging Graph-Based Methods and Large Language Models to Address Real-World Challenges&lt;br /&gt;
|-&lt;br /&gt;
|Hiroki Morizono&lt;br /&gt;
|Center for Genetic Medicine Research&lt;br /&gt;
|CNH&lt;br /&gt;
|Biomedical data resources at Children&#039;s National&lt;br /&gt;
|-&lt;br /&gt;
|Marc Garbey/Henry Kaminski&lt;br /&gt;
|Neurology &amp;amp; Rehabilitation Medicine&lt;br /&gt;
|MFA&lt;br /&gt;
|Moving towards a digital twin for myasthenia gravis &#039;&#039;(tentative title)&#039;&#039;&lt;br /&gt;
|} &lt;br /&gt;
&lt;br /&gt;
== Acknowledgments ==&lt;br /&gt;
&lt;br /&gt;
Sponsors: Dept. of Biochemistry and Molecular Medicine (coffee, refreshments, lunch, poster prizes), IBS (poster boards), Milken Institute School of Public Health (happy hour, poster prizes). &lt;br /&gt;
&lt;br /&gt;
== Contact ==&lt;br /&gt;
&#039;&#039;&#039;For questions about registration, abstract submission or general inquiries, please contact:&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Raja Mazumder: mazumder@gwu.edu&lt;br /&gt;
&lt;br /&gt;
== Poster Presentations ==&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
!Poster Number&lt;br /&gt;
! Name !! Presentation Title&lt;br /&gt;
|-&lt;br /&gt;
|1&lt;br /&gt;
| Sunisha Harish || AI-Driven Drug Response Prediction in Cancer Using Long-Read Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
|2&lt;br /&gt;
| Dae Young Kim || mhGPT: A Lightweight Domain-Specific Language Model for Mental Health Analysis&lt;br /&gt;
|-&lt;br /&gt;
|3&lt;br /&gt;
| Vania Ballesteros Prieto || Uncovering the Contributions of Expressed Genetic Variants, Isoforms, and RNA Editing to Tumor Heterogeneity via Long-Read Single-Cell RNA-Seq Analysis&lt;br /&gt;
|-&lt;br /&gt;
|4&lt;br /&gt;
| Sarah Tiufekchiev-Grieco || Promoting Resolution of Inflammation as a Potential Therapy for DMD&lt;br /&gt;
|-&lt;br /&gt;
|5&lt;br /&gt;
| Karli Gilbert || Machine Learning Models Predict Treatment Outcome from Serum Proteins in Patients with Myasthenia Gravis that received Thymectomy&lt;br /&gt;
|-&lt;br /&gt;
|6&lt;br /&gt;
| Reny Mathew || Identification of anti-helminthic drug resistance associated Quantitative trait loci (QTLs) in the canine hookworm, Ancylostoma caninum: A pooled-sequencing approach&lt;br /&gt;
|-&lt;br /&gt;
|7&lt;br /&gt;
| Jo Lynne Rokita || Accelerating discovery and target identification for pediatric brain tumors through open-source platforms and tools&lt;br /&gt;
|-&lt;br /&gt;
|8&lt;br /&gt;
| Henry Kaminski || Moving towards a digital twin for myasthenia gravis &lt;br /&gt;
|-&lt;br /&gt;
|9&lt;br /&gt;
| Huai Chin Chiang || Single-Cell Transcriptomic and Phenotypic Profiling Reveals T Cell Dysfunction in BRCA1 Mutation Carriers&lt;br /&gt;
|-&lt;br /&gt;
|10&lt;br /&gt;
| Lori Krammer || GW-FEAST: a federated ecosystem for data analysis and machine learning&lt;br /&gt;
|-&lt;br /&gt;
|11&lt;br /&gt;
| Medha Kurukunda || Analyzing the Use of Artificial Intelligence to Enhance the Identification of Food Insecure Areas in Washington, D.C. &lt;br /&gt;
|-&lt;br /&gt;
|12&lt;br /&gt;
| Christie Rose Woodside || Bridging Genomics and Preparedness: Regulatory-Grade Genomics and Quality Control Metrics and Analysis for Emerging and Circulating Avian Influenza in 2024-2025&lt;br /&gt;
|-&lt;br /&gt;
|13&lt;br /&gt;
| Aiste Gulla, MD, PhD || Clinical Outcomes and Long-Term Survival of Pancreatic Cancers by Histological Sub-Type in the Epic Cosmos Database: Results from 2010-2025&lt;br /&gt;
|-&lt;br /&gt;
|14&lt;br /&gt;
| Jane Ulianova || Comparison of alignment performance between the T2T-CHM13 and GRCh38/hg38 reference genome assemblies for RNAseq&lt;br /&gt;
|-&lt;br /&gt;
|15&lt;br /&gt;
| Zhe Yu || Automated Tracking of Freezing Behavior in Paired House Mice Using DeepLabCut&lt;br /&gt;
|-&lt;br /&gt;
|16&lt;br /&gt;
| Zhe Yu || Behavioral Bioinformatics for Temporal Analysis of Freezing Behavior in Dyad Mice&lt;br /&gt;
|-&lt;br /&gt;
|17&lt;br /&gt;
| Karim Ismat || Generation of a single nuclei RNA sequencing atlas of dysferlin-deficient skeletal muscle &lt;br /&gt;
|-&lt;br /&gt;
|18&lt;br /&gt;
| Kai Leung (Adam) Wong || An Experience of carrying out GPU-accelerated Genomic Analysis on Pegasus&lt;br /&gt;
|-&lt;br /&gt;
|19&lt;br /&gt;
| Gabriel Batzli || Defining macrophage heterogeneity in murine skin wounds during inflammation  &lt;br /&gt;
|-&lt;br /&gt;
|20&lt;br /&gt;
| Hovhannes Arestakesyan || Recurrent Somatic scSNVs in Single-Cell RNA-Seq: Insights into Tumor Heterogeneity and RNA-Level Variants&lt;br /&gt;
|-&lt;br /&gt;
|21&lt;br /&gt;
| Chloe Sachs || Secretome distinguishes spectrum of NF1 associated peripheral nerve sheath tumors&lt;br /&gt;
|-&lt;br /&gt;
|22&lt;br /&gt;
| Nikhil Arethiya || A Time-Series Approach to Glucose-Based Participant Classification&lt;br /&gt;
|-&lt;br /&gt;
|23&lt;br /&gt;
| Siera Martinez || Hetero-GNN Link Prediction of RNA Editing in Single Cells&lt;br /&gt;
|-&lt;br /&gt;
|24&lt;br /&gt;
| Renxi Li || Thirty-day outcomes of infrainguinal bypass surgery with concurrent iliac artery stenting in patients with chronic limb-threatening ischemia &lt;br /&gt;
|-&lt;br /&gt;
|25&lt;br /&gt;
| Matthew Mollerus || ResLens: Detecting Antibiotic Resistance Genes with Large Language Models&lt;br /&gt;
|-&lt;br /&gt;
|26&lt;br /&gt;
| Parimala  Nagaraj || Cybersecurity at the Intersection of Genomics and Data Science: Securing the Future of Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
|27&lt;br /&gt;
| Shekhar Nagar || Metabolic flexibility and dissemination of antibiotic resistomes from Actinobacteria in Hawaii hydrothermal steam vents&lt;br /&gt;
|-&lt;br /&gt;
|28&lt;br /&gt;
| Cristina Fenollar Ferrer || Functional impact of PIP2 on the Serotonin Transporter (SERT)&lt;br /&gt;
|-&lt;br /&gt;
|29&lt;br /&gt;
| Ali Taheriyoun || Dynamics of gut microbiome and metabolome of obesity patients under sleeve gastrectomy&lt;br /&gt;
|-&lt;br /&gt;
|30&lt;br /&gt;
| Irene Zohn || Next Generation sequencing approaches to understand developmental defects&lt;br /&gt;
|-&lt;br /&gt;
|31&lt;br /&gt;
| Max Alekseyev || Bioinformatics meets Quantum Informatics: from genome rearrangements to Weingarten calculus&lt;br /&gt;
|-&lt;br /&gt;
|32&lt;br /&gt;
| Lausanne Lee Oliver || Phylogenetic analysis of novel phages from Hawaiian fumaroles&lt;br /&gt;
|-&lt;br /&gt;
|33&lt;br /&gt;
|Mahdi Baghbanzadeh&lt;br /&gt;
|seqLens: optimizing language models for genomic predictions&lt;br /&gt;
|-&lt;br /&gt;
|34&lt;br /&gt;
|Dezhao Fu&lt;br /&gt;
|varLens - enhancers genetic testing using language models&lt;br /&gt;
|-&lt;br /&gt;
|35&lt;br /&gt;
|Lilly Shaw&lt;br /&gt;
|Uncovering Shared and Unique Biomarkers Across 23 Cancer Types Using The Cancer Genome Atlas (TCGA)&lt;br /&gt;
|-&lt;br /&gt;
|36&lt;br /&gt;
|Daniall Masood&lt;br /&gt;
|BiomarkerKB: A Comprehensive Biomarker Knowledgebase&lt;br /&gt;
|-&lt;br /&gt;
|37&lt;br /&gt;
|Ljubica Caldovic&lt;br /&gt;
|Active Learning of Data Science and Bioinformatics&lt;br /&gt;
|-&lt;br /&gt;
|38&lt;br /&gt;
|Urnisha Bhuiyan&lt;br /&gt;
|GlyGen: A Comprehensive Resource for Glycoscience Data Integration and Discovery&lt;br /&gt;
|-&lt;br /&gt;
|39&lt;br /&gt;
|Surajit Bhattacharya&lt;br /&gt;
|Redefining Human Airway Biology in Children from The Top Down: Unique Features of the Nasal Airway Epithelium.&lt;br /&gt;
|-&lt;br /&gt;
|40&lt;br /&gt;
|Anelia Horvath&lt;br /&gt;
|A Machine Learning Approach to Functional SNV Discovery via Isoform-Aware Single-Cell RNA-Seq&lt;br /&gt;
|-&lt;br /&gt;
|41&lt;br /&gt;
|Christie Rose Woodside&lt;br /&gt;
|Enhanced QC Metrics for Reference-Grade Genomic Data&lt;br /&gt;
|-&lt;br /&gt;
|42&lt;br /&gt;
|Yi-Wen Chen&lt;br /&gt;
|From gene to treatment: omics approaches for understanding facioscapulohumeral muscular dystrophy&lt;br /&gt;
|-&lt;br /&gt;
|43&lt;br /&gt;
|Pia Sen&lt;br /&gt;
|Investigating the role of bacteriophage diversity in Hawaiian steam vent microbial communities&lt;br /&gt;
|-&lt;br /&gt;
|44&lt;br /&gt;
|Emily Williams*&lt;br /&gt;
|TRIM28 regulates endogenous retroviral element expression in prostate cancer&lt;br /&gt;
|-&lt;br /&gt;
|45&lt;br /&gt;
|Cadina Powell&lt;br /&gt;
|Be Smart And Use Smartphones for Telemedicine: Narrative Review &lt;br /&gt;
|-&lt;br /&gt;
|46&lt;br /&gt;
|Xinyang Zhang&lt;br /&gt;
|Meta-analytic microbiome target discovery for immune checkpoint inhibitor response in advanced melanoma&lt;br /&gt;
|-&lt;br /&gt;
|47&lt;br /&gt;
|Cyrus Chun Hong Au Yeung&lt;br /&gt;
|Leveraging Large Language Models for Scalable Glycan-Disease Relation Extraction&lt;br /&gt;
|-&lt;br /&gt;
|48&lt;br /&gt;
|Ashley Garrison&lt;br /&gt;
|Gut Microbiome Composition as an Indicator of Preclinical Alzheimer&#039;s Disease&lt;br /&gt;
|-&lt;br /&gt;
|49&lt;br /&gt;
|Chelcie Puetz&lt;br /&gt;
|Combined Neuroinflammatory and Neurovascular Molecular Screening for Early Detection of Blood-Brain Barrier Dysfunction in Patients with Traumatic Brain Injury&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Mazumder</name></author>
	</entry>
</feed>