Genomic and Bioinformatic Core

基因组和生物信息学核心项目摘要 基因组和生物信息核心(GBC)将为CNDD调查人员提供资源、支持、 以及数据分析、数据共享和数据解释所需的培训。总的目标是 GBC将通过在最新情况下提供高质量的支持，提高CNDD调查人员的成功 ART生物信息学、生物统计学和数据管理，用于CNDD研究项目和试点项目，通过 指导、培训和分析执行，其中包括协助研究设计， 执行、数据收集、分析、数据发布和共享，以及未来的赠款提案。这个 GBC计算能力的硬件主干是一个分布有200个CPU核和2个GPU核的集群 超过3个节点，每个节点具有346 GB RAM。软件主干由一套科学编程组成 环境，以及所有主要编程语言的编译器，以及内部分析管道 可用于标准的NGS测序分析和单细胞多组学。GBC将举办一场Git 用于软件版本控制和数据共享的存储库(GitLab)，以帮助CNDD JIS及其受训人员 生物信息数据共享。GBC将通过以下具体目标帮助CNDD JI取得成功：1) 为CNDD研究人员提供复杂基因组和生物信息学的基本计算基础设施 研究方法；2)为CNDD调查员提供专业技术人员，以执行复杂的 遗传、转录组和表观基因组数据集的生物信息学分析；以及3)培训和导师CNDD 研究人员、他们的受训人员和更广泛的MUSC研究社区，在尖端的生物信息学数据 对遗传、转录和表观基因组数据集的分析。

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.