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NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCESNIH · NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCESNIH

Genomic and Bioinformatic Core

Cowan, Christopher W (Contact)·MEDICAL UNIVERSITY OF SOUTH CAROLINA, SC·2023–2028·ACTIVE
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INSTITUTION

MEDICAL UNIVERSITY OF SOUTH CAROLINA, SC

PRINCIPAL INVESTIGATOR

Cowan, Christopher W (Contact)

FUNDING

$355K

YEAR

2023

MOONBASE SCORE

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Abstract

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.

NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCESP20ZGM1-RCB-4throughtrainversionscientificsupportconsistscompilersbackbonebioinformaticstrainingclusterexpertexecutionsummarysfdoverallgeneticcomplexmanagementdistributedincludes

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