Bioinformatics Core

通过生物信息学核心C，该TBRU不仅能够生成高通量数据，而且还能够采用最先进的分析方法来解释数据。特别是，生物信息学核心C将支持秘鲁人群的定制基因分型和测序策略（项目1），将使用高通量转录测定来查询和定义遗传网络 此外，该中心还将扩大用于免疫系统生物学的自动化细胞计数数据分析工具（项目2）。Soumya Raychaudhuri博士（PI）和核心分析团队成员的分析专业知识将对这些目标进行补充。为了实现这些目标，核心将支持（1）人类基因组检测，包括下一代测序和外显子组芯片基因分型，（2）使用Nanostring nCounter TM检测进行转录分析，以及（3）利用尖端分析软件进行高通量自动流式细胞术数据采集。核心将在其方法上具有灵活性，以适应不断发展的技术和计算方法，因为它们在线

Through the Bioinformatics Core C, this TBRU will have not only the capacity to generate high throughput data, but in addition, will be able to employ state of the art analytical methods to interpret the data. In particular, Bioinformatics Core C will support customized genotyping and sequencing strategies in Peruvian populations (Project 1), will use high-throughput transcriptional assays to query and define genetic networks for tuberculosis susceptibility (Project 2), and will expand automated cytometric data analysis tools for immune-systems biology (Project 2). Each of these goals will be complemented by analytical expertise from Dr. Soumya Raychaudhuri (PI) and that of the members of the Core analytical team. To enable these goals the Core will support (1) Human genomic assays, including next-generation sequencing and exome-chip genotyping, (2) Transcriptional profiling with the Nanostring nCounterTM assay, and (3) High-throughput automated flow-cytometric data acquisition utilizing cutting edge analysis software. The Core will be flexible in its approach to accommodate evolving technologies and computational approaches as they come online