Investigator Initiated Innovation in Computational Genomics and Data Science (R01 Clinical Trial Not Allowed)
This NIH (R01) opportunity funds research in computational genomics, data science, statistics, and bioinformatics relevant to basic or clinical genomic science and broadly applicable to human healt…
- Deadline
- Sep 7, 2027
- Posted
- Nov 18, 2024
- Award amount
- Amount not specified
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In plain English
This NIH (R01) opportunity funds research in computational genomics, data science, statistics, and bioinformatics relevant to basic or clinical genomic science and broadly applicable to human health. Eligible applicants are research organizations including universities, colleges, government and tribal entities, and faith- or community-based organizations; it targets established research teams rather than individuals or general nonprofits. Award amounts are not specified. Methods are expected to be generalizable and scalable to large datasets.
AI-generated summary to help you decide quickly — verify the official eligibility rules before applying.
Who can apply
Other 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); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession.
About this grant
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 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 larger data sets.
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