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'''Welcome to HIVE LAB wiki'''
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        <div style="font-size:160%; padding:.1em;">Welcome to the HIVE Lab (Mazumder Research Group) Wiki</div>
        <div style="font-size:100%;">The HIVE Lab group 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). This effort aims to integrate various high throughput data analysis tools into the HIVE platform.
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>
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        <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>
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        <h3>[[Projects]]</h3>
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{{main|Projects}}<br>HIVE team projects fall into two major categories:<br>
1) Developing infrastructure for biomedical data analysis.<br>
2) Using that infrastructure to integrate and mine the data for knowledge.<br />
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        <h3>[[Publications]]</h3>
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{{main|Publications}}<br>The HIVE team has a variety of peer-reviewed publications, book chapters, posters, brochures, and multimedia available for the public.<br />
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        <h3>[[People]]</h3>
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{{main|People}}<br>This page contains details about the HIVE Lab team.<br />
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        <h3>[[Tool Resources]]</h3>
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{{main|Tool Resources}}<br>There are a variety of bioinformatic tool resources developed by our team.
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        <h3>[[Dataset Resources]]</h3>
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{{main|Dataset Resources}}<br>There are a variety of bioinformatic dataset resources integrated by our team.
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The [https://hivelab.biochemistry.gwu.edu/ HIVE LAB wiki] provides information and links to resources developed by our group. Here are some key sections.
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[https://hivelab.biochemistry.gwu.edu/projects Projects]
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        <h3>[[Opportunities]]</h3>
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{{main|Opportunities}}<br>Interested in joining our team? Learn about our team.
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[https://hivelab.biochemistry.gwu.edu/publications Publications]
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[https://hivelab.biochemistry.gwu.edu/people People]
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=External links=
'''Resources'''
* [https://hivelab.biochemistry.gwu.edu/tools Tools]
* [https://hivelab.biochemistry.gwu.edu/datasets Datasets]
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;Official
[https://hivelab.biochemistry.gwu.edu/gallery Gallery]
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*[https://hivelab.biochemistry.gwu.edu/ HIVE Lab official website]
'''More'''
* [https://hivelab.biochemistry.gwu.edu/opportunities Opportunities]
* [https://hivelab.biochemistry.gwu.edu/events Events]
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Latest revision as of 21:42, 22 November 2024


Welcome to the HIVE Lab (Mazumder Research Group) Wiki
The HIVE Lab group 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). This effort aims to integrate various high throughput data analysis tools into the HIVE platform. 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.


This wiki system provides complementary information to the HIVE Lab and is divided into the following main sections:

Projects

Template:Main
HIVE team projects fall into two major categories:
1) Developing infrastructure for biomedical data analysis.
2) Using that infrastructure to integrate and mine the data for knowledge.

Publications

Template:Main
The HIVE team has a variety of peer-reviewed publications, book chapters, posters, brochures, and multimedia available for the public.

People

Template:Main
This page contains details about the HIVE Lab team.

Tool Resources

Template:Main
There are a variety of bioinformatic tool resources developed by our team.

Dataset Resources

Template:Main
There are a variety of bioinformatic dataset resources integrated by our team.

Opportunities

Template:Main
Interested in joining our team? Learn about our team.

External links

Official
Retrieved from "https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Main_Page&oldid=135"