Main Page: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
mNo edit summary |
||
Line 2: | Line 2: | ||
__NOTOC__ | __NOTOC__ | ||
<!-- BANNER ACROSS TOP OF PAGE --> | <!-- BANNER ACROSS TOP OF PAGE --> | ||
<div style="font-size:290%; padding:.1em; text-align: center;">[https://hivelab.biochemistry.gwu.edu/ Welcome] to the | <div style="font-size:290%; padding:.1em; text-align: center;">[https://hivelab.biochemistry.gwu.edu/ Welcome] to the Mazumder Research Group (HIVE Lab) Wiki</div><br> | ||
{| style="width:100%;" | {| style="width:100%;" | ||
|} | |} | ||
<div id="ggw-topbanner" style="clear:both; position:relative; box-sizing:border-box; width:100%; margin:1.2em 0 6px; min-width:47em; border:1px solid #ddd; background-color:#f9f9f9; color:#000;"> | <div id="ggw-topbanner" style="clear:both; position:relative; box-sizing:border-box; width:100%; margin:1.2em 0 6px; min-width:47em; border:1px solid #ddd; background-color:#f9f9f9; color:#000;"> | ||
<div style="margin:0.4em; text-align:left;"> | <div style="margin:0.4em; text-align:left;"> | ||
<div style="font-size:100%;">The HIVE Lab | <div style="font-size:100%;">The Mazumder Research Group (HIVE Lab) is involved in developing the High-performance Integrated Virtual Environment (HIVE) which is a collaborative project between the CBER Food and Drug Administration (FDA) and Dr. Raja Mazumder's team at The George Washington University (GW). In addition to the HIVE platform, the group is involved in developing standards for bioinformatics communication via BioCompute Objects, knowledgebases for glycoinformatics (GlyGen), cancer research (BiomarkerKB, OncoMX, BioMuta, BioXpress), and microbiome analysis via the GutFeeling Knowledge Base (GFKB). The lab leverages knowledge graphs and advanced ML/AI technologies, including large language models, to harmonize, map, and uncover valuable insights from clinical data, omics datasets, knowledgebases, and scientific publications.</div>The lab manages several social media accounts dedicated to various projects.<br>GlyGen: [https://www.linkedin.com/company/glygen/ LinkedIn], [https://mstdn.science/@glygen Mastadon]; Bluesky | BioCompute: [https://www.linkedin.com/company/biocompute-partnership LinkedIn] | GW Bioinfo & Biochem students and alumni: [https://www.linkedin.com/groups/8313079/ LinkedIn]<div style="font-size:100%;">This wiki system provides complementary information to the [https://hivelab.biochemistry.gwu.edu/ HIVE Lab] and is divided into the following main sections:</div> | ||
In addition to the HIVE platform, the group is involved in developing standards for bioinformatics communication via BioCompute Objects, knowledgebases for glycoinformatics (GlyGen), cancer research (BiomarkerKB, OncoMX, BioMuta, BioXpress), and microbiome analysis via the GutFeeling Knowledge Base (GFKB). The lab leverages knowledge graphs and advanced ML/AI technologies, including large language models, to harmonize, map, and uncover valuable insights from clinical data, omics datasets, knowledgebases, and scientific publications.</div>The lab manages several social media accounts dedicated to various projects.<br>GlyGen: [https://www.linkedin.com/company/glygen/ LinkedIn], [https://mstdn.science/@glygen Mastadon]; Bluesky | BioCompute: [https://www.linkedin.com/company/biocompute-partnership LinkedIn] | GW Bioinfo & Biochem students and alumni: [https://www.linkedin.com/groups/8313079/ LinkedIn]<div style="font-size:100%;">This wiki system provides complementary information to the [https://hivelab.biochemistry.gwu.edu/ HIVE Lab] and is divided into the following main sections:</div> | |||
</div> | </div> | ||
</div> | </div> |
Revision as of 17:03, 14 December 2024
Welcome to the Mazumder Research Group (HIVE Lab) Wiki
Publications
Main article: Publications
The HIVE team has a variety of peer-reviewed publications, book chapters, posters, brochures, and multimedia available for the public.
Tool Resources
Main article: Tool Resources
There are a variety of bioinformatic tool resources developed by our team.
Dataset Resources
Main article: Dataset Resources
There are a variety of bioinformatic dataset resources integrated by our team.
Opportunities
Main article: Opportunities
Interested in joining our team? Learn about our team.
External links
- Official