Emory/Georgia TB Research Advancement Center (TRAC)

生物信息学和综合系统生物学（系统生物学）核心将代表一个完整的 埃默里/佐治亚州 TRAC 的组成部分。埃默里/佐治亚州结核病研究的个别成员 社区拥有协作结核病研究的良好记录，可以使用系统中的尖端方法 生物学并不容易获得。尽管埃默里/佐治亚州 TRAC 的合作机构主办了 执行“组学”分析的各种核心设施，分析所需的计算生物学专业知识 并整合这些平台产生的高维、多尺度数据集通常并不容易 可用。我们建议为高维、多尺度的数据分析和分析提供必要的支持 整合以促进埃默里/佐治亚州 TRAC 研究人员使用“组学”技术。系统 Biology Core 将通过充当研究人员的单一联络点（礼宾功能）来实现这一目标 埃默里/佐治亚州 TRAC，并促进特定人群获得广泛的“组学”技术 实验设计。使用已建立的计算管道，我们将为新研究人员提供培训 在这个日益重要的基础领域中研究高维数据分析和数据集成的方法 和转化研究。 BISB 核心的具体目标是： 1) 提供单点联系 TRAC 研究人员的所有“组学”平台的数据采集、管理和分析结构； 2) 至 为 TRAC 成员提供培训和教育资源，以使用“-”进行前沿实验 组学的技术并实施相关的计算管道； 3) 制定和实施 新颖的多组学检测和相关计算模型可推进结核病研究。我们将努力 通过促进使用，在埃默里/佐治亚州 TRAC 研究人员之间培育协作研究环境 并实施尖端的多组学检测，以推进结核病研究并培训下一代 结核病研究人员。

The Bioinformatics and Integrated Systems Biology (Systems Biology) Core will represent an integral component of the Emory/Georgia TRAC. While individual members of the Emory/Georgia TB research community have strong records of collaborative TB research, access to cutting edge methods in systems biology have not been easily accessible. Although the partner institutions of the Emory/Georgia TRAC host a wide variety of Core facilities performing ‘-omics’ assays, expertise in computational biology needed to analyze and integrate the high-dimensional, multiscale data sets produced by these platforms is often not readily available. We propose to provide essential support for high-dimensional, multiscale data analysis and integration to facilitate use of ‘-omics’ technologies among Emory/Georgia TRAC investigators. The Systems Biology Core will accomplish this by serving as a single point of contact (concierge function) to investigators of the Emory/Georgia TRAC, and facilitating access to a wide array of ‘-omics’ technologies for specific experimental designs. Using established computational pipelines, we will provide training to new investigators on methods in high-dimensional data analysis and data integration in this increasingly essential area of basic and translational research. The specific aims of the BISB Core are: 1) to provide a single point of contact structure for data acquisition, management, and analysis for all ‘-omics’ platforms to TRAC investigators; 2) To provide training and educational resources to TRAC members to carry out cutting edge experiments using ‘- omics’ technologies and implement associated computational pipelines; and 3) to develop and implement novel multiomics assays and associated computational models to advance TB research. We will strive to nurture a collaborative research environment among Emory/Georgia TRAC investigators by facilitating the use and implementation of cutting edge multiomics assays to advance TB research and train the next generation of TB researchers.