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         <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>
         <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]; [https://bsky.app/profile/glygen.bsky.social <space> 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>
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Revision as of 15:01, 17 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; <space> 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.

Contact

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

External links

Official
Retrieved from "https://hivelab.biochemistry.gwu.edu/wiki/index.php?title=Main_Page&oldid=247"