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Investigator Initiated Innovation in Computational Genomics and Data Science (R21 Clinical

The purpose of this funding opportunity announcement (FOA) is to invite applications for a broad range of research efforts in computational genomics, data science, statistics, and bioinformatics relevant to one or both of basic or clinical genomic science, and broadly applicable to human health and disease. This FOA su

AgencyNational Institutes of Health
StatusPosted
Opportunity numberPAR-25-229
Posted date11/18/2024
Application deadlineSep 07, 2027 12:00:00 AM EDT
Award ceilingnone
Award floornone
Who can applyOther Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); R
Assistance Listing (CFDA)93.172, 93.879
DescriptionThe purpose of this funding opportunity announcement (FOA) is to invite applications for a broad range of research efforts in computational genomics, data science, statistics, and bioinformatics relevant to one or both of basic or clinical genomic science, and broadly applicable to human health and disease. This FOA supports fundamental genomics research developing innovative analytical methodologies and approaches, early-stage development of tools and software, and refinement or hardening of software and tools of high value to the biomedical genomics community. Work supported under this FOA should be enabling for genomics and be generalizable or broadly applicable across diseases and biological systems. All applications should address how the methods would scale to address increasingly la
Agency contactgrantsinfo@nih.gov
Official listinghttps://www.grants.gov/search-results-detail/357195

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