Opportunity Information: Apply for RFA HG 17 011
The NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL) (U24) funding opportunity (RFA HG 17 011) is a National Institutes of Health cooperative agreement aimed at standing up a shared, cloud-based platform to support modern human genomics research. The core idea is to build an interoperable "lab-space" where large genomic datasets can live alongside the storage and compute capacity needed to work with them, plus the common services and analysis tools researchers already rely on. By bringing data, computing, and widely used software into the same environment, AnVIL is meant to reduce friction in genomic analysis, improve reproducibility, and make it easier for the broader scientific community to access and analyze genomic information at scale.
The scope centers on enabling research that depends on very large, complex datasets, especially those generated by NHGRI programs, while also supporting datasets produced by other funders as long as they advance human genomics research. A major emphasis is leveraging cloud infrastructure so researchers do not have to download massive files locally or build custom compute stacks to analyze them. Instead, AnVIL is intended to support secure access, integration, and computation across datasets within a shared environment, which is increasingly important for studies that require combining multiple cohorts, comparing across projects, or running computationally intensive pipelines and visualizations. In practice, this kind of resource typically supports workflows like variant calling and annotation, cohort-level association analyses, functional genomics processing, data harmonization, interactive visualization, and controlled-access data use under appropriate governance.
Administratively, this opportunity is categorized as a discretionary health funding program under CFDA 93.172 and uses the U24 cooperative agreement mechanism, which generally means NIH expects substantial programmatic involvement during the project period (for example, coordinating milestones, ensuring the platform meets community needs, and aligning with NHGRI priorities). The listing indicates an anticipated single award (ExpectedAwards: 1), reinforcing that this is designed as a central, community-facing resource rather than many independent, small projects. The original closing date shown is 2017-11-09, and the creation date is 2017-07-17, which places it as a specific competition from that time period rather than a continuously open solicitation.
Eligibility is broad across public and private sectors within the United States, including state, county, and municipal governments; special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments and certain tribal organizations; public housing authorities/Indian housing authorities; nonprofits with or without 501(c)(3) status (excluding institutions of higher education in those categories); for-profit organizations (other than small businesses); and small businesses. The announcement also explicitly highlights additional eligible applicant types such as Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISIs), Hispanic-serving Institutions, Historically Black Colleges and Universities (HBCUs), Tribally Controlled Colleges and Universities (TCCUs), faith-based or community-based organizations, certain tribal governments other than federally recognized, regional organizations, eligible federal agencies, and U.S. territories or possessions.
At the same time, the opportunity clearly restricts foreign participation: non-domestic (non-U.S.) entities and foreign institutions are not eligible to apply, non-domestic components of U.S. organizations are not eligible, and foreign components as defined by NIH policy are not allowed. In other words, applicants must be U.S.-based and proposed work cannot include foreign components under NIH definitions, which matters for teams that might otherwise plan to host infrastructure or carry out substantial project activities outside the U.S.
Overall, the opportunity is focused on creating a widely usable, cloud-enabled genomic data science environment that helps researchers find, access, analyze, visualize, and share large-scale genomic datasets without the typical barriers of moving data around and assembling compute resources on their own. The expected outcome is a community resource that strengthens interoperability, accelerates discovery, and supports the growing need to compute across multiple large human genomics datasets in a secure and scalable way.Apply for RFA HG 17 011
- The National Institutes of Health in the health sector is offering a public funding opportunity titled "The NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL) (U24)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.172.
- This funding opportunity was created on 2017-07-17.
- Applicants must submit their applications by 2017-11-09. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), 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, Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others.
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