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'''Welcome to HIVE LAB wiki'''
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<div style="font-size:290%; padding:.1em; text-align: center;">Welcome to the HIVE Lab (Mazumder Research Group) Wiki</div><br>
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| align="right" | [https://www.linkedin.com/company/glygen/ [[File:Linkedin.png|40px|link=]]]
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        <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><br>
        <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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&nbsp;&nbsp;&nbsp;&nbsp;'''''Main article:''' [[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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&nbsp;&nbsp;&nbsp;&nbsp;'''''Main article:''' [[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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&nbsp;&nbsp;&nbsp;&nbsp;'''''Main article:''' [[People]]''<br>This page contains details about the HIVE Lab team.<br />
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        <h3>[[Tool Resources]]</h3>
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&nbsp;&nbsp;&nbsp;&nbsp;'''''Main article:''' [[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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&nbsp;&nbsp;&nbsp;&nbsp;'''''Main article:''' [[Dataset Resources]]''<br>There are a variety of bioinformatic dataset resources integrated by our team.
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        <h3>[[Opportunities]]</h3>
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&nbsp;&nbsp;&nbsp;&nbsp;'''''Main article:''' [[Opportunities]]''<br>Interested in joining our team? Learn about our team.
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The [https://hivelab.biochemistry.gwu.edu/ HIVE WIKI] provides comprehensive information and resources. Here are some key sections.
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[https://hivelab.biochemistry.gwu.edu/projects Projects]
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        <h3>[[Gallery]]</h3>
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&nbsp;&nbsp;&nbsp;&nbsp;'''''Main article:''' [[Gallery]]''<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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Revision as of 23:14, 25 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

    Main article: Projects
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

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

People

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

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.

Gallery

    Main article: Gallery
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=176"