Genomic Data Generation Center for the Gabriella Miller Kids First Pediatric Research Program (U24 Clinical Trial Not Allowed)
National Institutes of Health
Award ceiling
—Award floor
—Posted
Oct 29, 2026Closes
Jan 8, 2027Location eligibility
No specific state restriction found in this listing — check the full opportunity for details.Categories: Health
Eligible applicants: Public housing authorities/Indian housing authorities, Private institutions of higher education, County governments, Independent school districts, Public and State controlled institutions of higher education, Special district governments, Native American tribal organizations (other than Federally recognized tribal governments), City or township governments, Small businesses, Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education, State governments, For profit organizations other than small businesses, Native American tribal governments (Federally recognized), Others (see text field entitled "Additional Information on Eligibility" for clarification)
Description
The purpose of this Notice of Funding Opportunity (NOFO) is to support the Genomic Data Generation Center(s) for the Gabriella Miller Kids First Pediatric Research Program to support rapid generation of high quality sequence and variant data (e.g., genome-wide, RNA, and long-read DNA and RNA sequencing, genome-wide methylation profiling, and chromatin accessibility data) from a large number of human specimens representing pediatric conditions, including childhood cancers and congenital anomalies. All data generated under this NOFO will be re-processed and harmonized by the Gabriella Miller Kids First Pediatric Data Resource Center (Kids First DRC). The DRC is charged with maintaining a public-facing, cloud-based resource that enables researchers to search, access, aggregate, analyze, and share annotated genomic sequences, genomic variants, epigenomic, transcriptomic, and phenotypic datasets. Together, these resources promote comprehensive and cross-cutting research and collaboration within the pediatric research community.