Bioinformatics Core

生物信息学核心

• 批准号: 10089394
• 负责人: MEGAN B MURRAY
• 金额: $ 27.94万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-02-01 至 2022-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10089394
• 关键词: Bioinformatics; Biological Assay; Biology; Complement; Computer software; Custom; Data; Data Analyses; Data Set; Gene Expression Profiling; Genetic; Genetic Transcription; Genomics; Genotype; Goals; Human; Immune system; Metabolic; Modernization; Peruvian; Population; Predisposition; Protocols documentation; Sampling; Systems Biology; Technology; Tuberculosis; analytical method; analytical tool; complex data; data acquisition; exome; flexibility; large scale data; member; metabolomics; nano-string; next generation sequencing; tool

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

通过生物信息学核心C，这个TBRU将不仅具有生成高通量数据的能力，而且还将能够使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将支持秘鲁人口的定制基因分型和测序战略(项目1)，将使用高通量转录分析来查询和定义遗传网络 关于结核病易感性的研究(项目2)，并将扩大免疫系统生物学的自动细胞数据分析工具(项目2)。这些目标中的每一个都将得到Soumya Raychaudhuri博士(PI)和核心分析小组成员的分析专业知识的补充。为了实现这些目标，Core将支持(1)人类基因组分析，包括下一代测序和外显子芯片基因分型，(2)使用NanoStringnCounterTM分析进行转录分析，以及(3)利用尖端分析软件进行高通量自动化流式细胞仪数据采集。核心将在其方法上灵活，以适应不断发展的技术和计算方法，因为它们上线