OpportunityTitle: Research and Development for Genome Reference Representations (GRR) (U01 Clinical Trial Not Allowed)
AdditionalInformationOnEligibility: 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.
Description: The National Human Genome Research Institute (NHGRI) seeks to support research and development for a next-generation genome reference representation. This pangenome resource will be able to capture all human genome variation and support scalable analysis in a software framework that will set a robust foundation for open science. Projects will develop improved representations for computing on the information contained within the increasing numbers of diverse genome assemblies that will make up the human reference sequence going forwards. While the high-level concept of the pangenome as a graph is well-established, further research and development is needed to refine and implement a practical representation and implementation to enable active use of population-scale variation. Software is needed that can demonstrate efficiency, scalability, computational speed, ease of use, and the ability to foster adoption of the reference and analysis tool development for a wide range of purposes. The FOA will fund multiple projects that will together help set benchmarks and standards in this domain. A primary requirement is to adhere to a high level of open science including open-source tools, standards, specifications, and robust software engineering to enable this core resource to be widely integrated in the larger community and support outside contributions. Robust design is also expected to provide a foundation for independent efforts that may have enhanced privacy and security requirements.
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GrantorContactText: NIH OER Webmaster&lt;br/&gt;FBOWebmaster@OD.NIH.GOV