Main Page: Difference between revisions

From HIVE Lab
Jump to navigation Jump to search
Mazumder (talk | contribs)
mNo edit summary
No edit summary
Line 68: Line 68:
         <div style="border-top: 1px solid #CCC; padding-top: 0.5em;">
         <div style="border-top: 1px solid #CCC; padding-top: 0.5em;">
&nbsp;&nbsp;&nbsp;&nbsp;'''''Main article:''' [[Opportunities]]''<br>Interested in joining our team? Learn about our team.
&nbsp;&nbsp;&nbsp;&nbsp;'''''Main article:''' [[Opportunities]]''<br>Interested in joining our team? Learn about our team.
<br />
</div>
    </div>
</div>
</div>
</div>
<div style="clear: both;">
        <div style="border-top: 1px solid #CCC; padding-top: 0.5em;"><div id="ggw_row3" style="display: flex; flex-flow: row wrap; justify-content: space-between; padding: 0; margin: 0 -5px 0 -5px;">
    <div style="flex: 1; margin: 5px; min-width: 210px; border: 1px solid #CCC; padding: 0 10px 10px 10px; box-shadow: 0 2px 2px rgba(0,0,0,0.1); background: #f5faff;">
        <h3>[[Contact]]</h3>
        <div style="border-top: 1px solid #CCC; padding-top: 0.5em;">
&nbsp;&nbsp;&nbsp;&nbsp;'''''Main article:''' [[Contact]]''<br>To contact us for more info. Please visit this page.
<br />
<br />
</div>
</div>

Revision as of 18:54, 16 December 2024


Welcome to the Mazumder Research Group (HIVE Lab) Wiki


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.
The lab manages several social media accounts dedicated to various projects.
GlyGen: LinkedIn, Mastadon; Bluesky | BioCompute: LinkedIn | GW Bioinfo & Biochem students and alumni: LinkedIn
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.

Contact

    Main article: Contact
To contact us for more info. Please visit this page.

Events

    Main article: Events
Interested in knowing about our events.

External links

Official