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Active RESEARCH CENTERS NIH (US)

Genomic and Bioinformatic Core


Funder NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
Recipient Organization Medical University of South Carolina
Country United States
Start Date Apr 01, 2023
End Date Feb 29, 2028
Duration 1,795 days
Number of Grantees 1
Roles Principal Investigator
Data Source NIH (US)
Grant ID 10556539
Grant Description

GENOMIC AND BIOINFORMATIC CORE – PROJECT SUMMARY The Genomic and Bioinformatic Core (GBC) will provide CNDD investigators with the resources, support, and training necessary for both data analysis, data sharing, and data interpretation. The overall objective of the GBC is to enhance the success of the CNDD investigators through high-quality support in state-of-the-

art bioinformatics, biostatistics, and data management for CNDD research projects and pilot projects through mentorship and training and analysis execution, which includes assistance with study design, implementation, data collection, analysis, data publication and sharing, and future grant proposals. The

hardware backbone of GBC computing capacity is a cluster with 200 CPU cores and 2 GPU cores distributed over 3 nodes with 346 GB RAM each. The software backbone consists of a suite of scientific programming environments, as well as compilers for all major programming languages, and in-house analysis pipelines

are available for standard NGS sequencing analysis and single-cell multiomics. The GBC will host a Git repository (GitLab) for software-version control and data sharing to assist the CNDD JIs and their trainees with bioinformatic data sharing. The GBC will assist CNDD JI success thru the following Specific Aims: 1)

Provide CNDD investigators with essential computation infrastructure for complex genomic and bioinformatic research approaches; 2) Provide CNDD Investigators with expert technical staff to carry out complex bioinformatic analysis of genetic, transcriptomic, and epigenomic data sets; and 3) Train and mentor CNDD

investigators, their trainees, and the broader MUSC research community, in cutting-edge, bioinformatic data analysis of genetic, transcriptomic, and epigenomic data sets.

All Grantees

Medical University of South Carolina

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