NIH Reporter #2U19AI095227-17

Grant Award for High Dimensional Data Analysis Core Services at Vanderbilt University Medical Center

This opportunity is a grant award from the National Institute of Allergy and Infectious Diseases (NIAID), part of the National Institutes of Health, to Vanderbilt University Medical Center for the High Dimensional Data Analysis Core. - Government Buyer: - National Institutes of Health (NIH) - National Institute of Allergy and Infectious Diseases (NIAID) - OEMs and Vendors: - No specific OEMs or commercial vendors are mentioned; the award is to Vanderbilt University Medical Center - Products/Services Requested: - Specialized data management and analysis services for the CANOE-VU longitudinal study - Management and curation of clinical, physiological, and airway epithelium multi-omic data - Coordination of bioinformatics analysis, integration, and validation of multi-omics data - Biostatistical support for analyses across related projects - Unique/Notable Requirements: - Emphasis on collaboration among biostatisticians, geneticists, systems biologists, bioinformaticians, and database management specialists - Focus on supporting research into airway epithelium development and the role of respiratory syncytial virus (RSV) in childhood respiratory morbidity and asthma - No specific products, part numbers, or commercial hardware/software are requested; the focus is on specialized research services

Description

This NIH grant opportunity is for the High Dimensional Data Analysis Core, which manages and supports resources to study the development of the airway epithelium and the role of respiratory syncytial virus (RSV) in childhood respiratory morbidity and asthma. The core manages data from the longitudinal CANOE-VU study and provides bioinformatic and biostatistical support for multi-modal omics data analysis and mechanistic studies. It assembles a collaborative team of biostatisticians, geneticists, systems biologists, bioinformaticians, and database management specialists to coordinate data management, analysis, and integration.

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