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Computational Modeling and Analysis of the Impact of Genomic Variation on Function (UM1, Clinical Trial Not Allowed)

Sector: Hospital • Location: United States of America

Source: Grants.gov

Project
Forecasted

The National Human Genome Research Institute (NHGRI) intends to promote a new initiative by publishing a Notice of Funding Opportunity (NOFO) to solicit applications for research to develop, apply, and test predictive models and perform integrative analyses to determine the impact of genomic variation on genome function. Centers funded through this initiative will become a part of the Impact of Ge

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The project “Computational Modeling and Analysis of the Impact of Genomic Variation on Function (UM1, Clinical Trial Not Allowed)” is an infrastructure initiative in the Hospital sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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forecasted

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Description

Description

The National Human Genome Research Institute (NHGRI) intends to promote a new initiative by publishing a Notice of Funding Opportunity (NOFO) to solicit applications for research to develop, apply, and test predictive models and perform integrative analyses to determine the impact of genomic variation on genome function. Centers funded through this initiative will become a part of the Impact of Genomic Variation on Function (IGVF) Consortium. As consortium members, centers will work together to ensure all consortium resources are accessible to a wide variety of potential users. Centers are also will collaborate with other consortium components to guide and optimize IGVF experimental design, to provide analytical expertise and support for consortium-wide efforts, and to develop and execute shared analysis strategies to meet consortium goals. This Notice is being provided to allow potential applicants sufficient time to develop meaningful collaborations and responsive projects. The NOFO is expected to be published in 2025 with an expected application due date in 2025. This NOFO will utilize the UM1 activity code.

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Source reliability

High

Data quality score

100%

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URL

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