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Welcome to the HIVE Lab 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

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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

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

People

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This page contains details about the HIVE Lab team.

Tool Resources

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

Dataset Resources

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

Opportunities

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Interested in joining our team? Learn about our team.

External links

Official

• HIVE Lab official website