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

Public Health Relevance

Modern assays in biology can generate large volumes of data. In particular next-generation sequencing, high-throughput genotyping, and transcriptional profiling can quickly produce large-scale data sets that can be difficult to analyze. This core will not only apply these approaches to TBRU samples, but in addition will use state-of-the art analytical tools to integrate and interpret these complex data sets data.

National Institute of Health (NIH)
National Institute of Allergy and Infectious Diseases (NIAID)
Research Program--Cooperative Agreements (U19)
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Special Emphasis Panel (ZAI1)
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Brigham and Women's Hospital
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