Forecast

Transformative Technologies for Experimental and Computational RNome Characterization and Functional Analysis

From	National Institutes of Health
Who can apply	state governments, counties, cities and townships, special districts (water, fire, parks, etc.), school districts, public colleges and universities and 9 more types
Eligibility notes	Other Eligible ApplicantsIndian/Native American Tribal Governments (Other than Federally Recognized);Eligible Agencies of the Federal Government;U.S.
How much	up to $500K per award; about 10 awards; $8 million total
Deadline	Mon, Feb 15, 2027 (estimated) (115 days left)
Category	Health
Type	Cooperative agreement
Opportunity #	RFA-RM-28-006
Assistance listing	93.310
Posted	Wed, Aug 5, 2026

Heads-up: Forecast: not open yet. Dates and amounts are the agency's estimates.

Open the official posting

From the notice

The NIH Common Fund, in partnership with other NIH Institutes and Centers, plans to issue Notices of Funding Opportunity (NOFOs) for the RNomics program, which seeks to develop tools for studying the full set of RNA molecules (the RNome) in cells and tissues. The program will support technologies and resources that enable integrated analysis of RNA sequences, modifications, structures, locations, interactions, and functions to advance understanding of health and disease. RNomics includes four initiatives: technology enhancement centers, transformative technologies, molecular standards, and a coordinating center. Applications are not being solicited at this time. This notice is being provided to give potential applicants time to develop meaningful collaborations and strong projects. This NOFO will support the transformative technologies initiative. These phased projects will develop new experimental and computational RNA technologies that address major limitations of current methods. Projects will focus on early-stage, high-risk ideas not yet demonstrated at scale or in biologically relevant systems. Priority areas include tools to sequence RNA, detect modifications, study RNA function, and analyze RNA across molecules, cells, and tissues. Projects that successfully complete Phase 1 milestones will be evaluated for transition to Phase 2. Phase 2 projects are expected to deliver validated tools for community use.

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