Genomic Data Generation Center for the Gabriella Miller Kids First Pediatric Research Program (U24 Clinical Trial Not Allowed)
National Institutes of Health
Posted Oct 29, 2026
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.
AI Summary
This opportunity funds one or more Genomic Data Generation Centers that will produce large volumes of high-quality genomic data (such as whole-genome, RNA, long-read, methylation, and chromatin accessibility sequencing) from human specimens tied to pediatric conditions, including childhood cancers and congenital anomalies. The data will be harmonized and shared through the Kids First Data Resource Center, a public cloud-based platform for pediatric genomic research; the description does not list specific applicant eligibility requirements beyond the NOFO's standard terms.
Funding Details
- Maximum Award
- $3,500,000
Key Dates
Quick Facts
- CFDA Number
- 93.310
- Funder Type
- Federal Agency
- Grant Level
- FEDERAL
- Last Verified
- Oct 29, 2026
Categories
Geographic Scope
national
GL-C76B96c76b9604-b6d4-419c-b76d-043af6e5fa1c
Intelligence
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