Advancing Bioinformatics, Translational Bioinformatics and Computational Biology Research (R01 Clinical Trial Optional)

Key facts

Copied from the official Grants.gov record. Last verified October 29, 2026.

Program name

Advancing Bioinformatics, Translational Bioinformatics and Computational Biology Research (R01 Clinical Trial Optional)

Issuing agency

National Institutes of Health (Department of Health and Human Services)

Opportunity number

PAR-26-040

Funding type

Grant

Funding purpose

Health

Status

Open (posted)

Application deadline

Closes March 5, 2029

Published award range

Up to $250,000

Estimated total program funding

$2,500,000

Expected number of awards

10

Cost sharing or match required

No

Eligible applicants (official categories)

• 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 (see Additional Information on Eligibility)

Relevant to

Businesses and NonprofitsHow we determined this: Grants.gov eligibility includes small businesses or for-profit organizations. Grants.gov eligibility includes nonprofit organizations.

Geographic restrictions

None stated in structured data (federal opportunities are often nationwide). Check the eligibility details and full announcement for any limits.

Assistance Listing (CFDA)

93.879

Official source

View on Grants.gov ↗

Application URL

www.grants.gov/search-results-detail/359003 ↗Apply through Grants.gov (Workspace) using the application package on the official listing, unless the full announcement names a different submission system.

Source identifier

Grants.gov opportunity ID 359003 · Funding opportunity number PAR-26-040

Posted

February 11, 2026 · Source last updated February 11, 2026

Last verified

October 29, 2026 (against Grants.gov)

Data completeness

100% of key fields published by the source

Record confidence

highVerified against the official source; key fields present; no open issues.

Eligibility details (from the agency)

Refer to Section III. Eligibility Information in the NOFO for additional information on eligibility.Foreign Organizations/International CollaborationsNon-domestic (non-U.S.) Entities (Foreign Organizations) are eligible to apply.Non-domestic (non-U.S.) components of U.S. Organizations are eligible to apply.Foreign components, as defined in the NIH Grants Policy Statement, are allowed.NIH will no longer issue awards (i.e., new, renewal, or non-competing continuation) to domestic or foreign entities that involve foreign subawards/subcontracts. All NIH-funded research involving foreign subawards/subcontracts must be submitted in response to a NOFO that is specifically designated for funded international collaborations. This new requirement was effective, May 1, 2025.Applications involving foreign subawards/subcontracts submitted in response to this NOFO will be deemed noncompliant and will not be considered for funding. This policy applies to all monetary international collaborations resulting in foreign subawards/subcontracts, however, it does not preclude unfunded international collaborations or foreign components, funding for foreign consultants, or procurement of unique equipment or supplies from foreign vendors.

Description (from the official listing)

The National Library of Medicine (NLM) seeks applications for research projects that drive groundbreaking innovation and advanced development in the fields of bioinformatics, translational bioinformatics, and computational biology. The primary goal of this initiative is to support the creation and implementation of cutting-edge methods, tools, and approaches that can transform the landscape of biomedical data science. This NOFO aims to address the growing need to leverage transformative technologies — such as artificial intelligence (AI), machine learning, and large-scale computational platforms — to extract actionable knowledge from vast, diverse, and complex biological datasets. By enabling more effective interpretation and integration of multi-dimensional biological and biomedical data, this research will ultimately contribute to improving individual and population health outcomes.

Agency contact

NLM Extramural Programs NLMProgram@nih.gov
NLMProgram@nih.gov