Opportunity Information: Apply for RFA RM 14 001
Apply for RFA RM 14 001
- The National Institutes of Health in the health sector is offering a public funding opportunity titled "Computational Analyses Exploiting Reference Epigenomic Maps (R01)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.310 Trans NIH Research Support.
- This funding opportunity was created on Dec 10, 2013 and posted on Dec 10, 2013.
- Applicants must submit their applications by Mar 3, 2014. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $3,000,000.00 to eligible and selected applicants.
- Each selected applicant is eligible to receive up to $200,000.00 in funding.
- The number of recipients for this funding is limited to 10 candidate(s).
- Eligible applicants include: County governments Independent school districts Native American tribal governments (Federally recognized) Special district governments Small businesses Native American tribal organizations (other than Federally recognized tribal governments) Others (see text field entitled Additional Information on Eligibility for clarification) Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Public housing authorities/Indian housing authorities City or township governments 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 State governments Public and State controlled institutions of higher education.
- Other Eligible Applicants include the following Alaska Native and Native Hawaiian Serving Institutions Asian American Native American Pacific Islander Serving Institutions (AANAPISISs) Eligible Agencies of the Federal Government Faith based or Community based Organizations Hispanic serving Institutions Historically Black Colleges and Universities (HBCUs) Indian/Native American Tribal Governments (Other than Federally Recognized) Non domestic (non U.S.) Entities (Foreign Organizations) Regional Organizations Tribally Controlled Colleges and Universities (TCCUs) U.S. Territory or Possession Non domestic (non U.S.) Entities (Foreign Institutions) 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.
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Opportunity Summary:
The National Institutes of Health (NIH) released this funding opportunity announcement (FOA) under the NIH Common Fund Epigenomics program to support research projects that focus on computational analyses of reference epigenomic maps. Titled "Computational Analyses Exploiting Reference Epigenomic Maps (R01)" (Funding Opportunity Number RFA-RM-14-001), the purpose of the announcement is to encourage investigators to use the publicly available epigenomic datasets produced by the Roadmap Epigenomics Program. In practical terms, the FOA is aimed at researchers who can develop or apply computational and statistical approaches to extract new biological and biomedical insights from these standardized epigenomic reference maps, rather than generating entirely new mapping data from scratch.
The award mechanism is the NIH R01 research project grant, which typically supports a defined, investigator-driven research plan over multiple years. The activity category is listed as Health, reflecting NIH's interest in how epigenomic regulation connects to human biology and disease. The FOA anticipated making about 10 awards with an estimated total program funding level of $3,000,000, and it set an award ceiling of $200,000. There is no cost-sharing or matching requirement, meaning applicants were not required to provide additional non-federal funds as a condition of receiving the grant.
The central theme of the FOA is leveraging the value of reference epigenomic maps that are already available to the public. The Roadmap Epigenomics Program generated large-scale, standardized epigenomic profiles across different human tissues and cell types. This FOA is essentially a call for computational researchers, bioinformaticians, statisticians, and interdisciplinary teams to mine those datasets in ways that improve interpretation, integration, and application. Projects responsive to this kind of announcement generally include efforts like integrating multiple epigenomic marks to define regulatory elements, comparing epigenomic states across tissues or developmental stages, linking epigenomic patterns to gene expression and regulatory networks, developing models that predict functional regions of the genome, or creating new analytical frameworks that help connect epigenomic variation to phenotype and disease mechanisms. While the FOA summary is brief, its emphasis on "computational analyses exploiting reference epigenomic maps" signals a priority for innovative methods and strong biological questions that are answerable because of the breadth and consistency of the Roadmap reference data.
Eligibility for this FOA was broad and included a wide range of domestic and international organizations. Eligible applicants included federal, state, county, city, township, and special district governments; public housing authorities/Indian housing authorities; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; nonprofit organizations (with or without 501(c)(3) status, excluding higher education institutions in that category); for-profit organizations (including small businesses and other for-profits); and Native American tribal governments and tribal organizations (both federally recognized and other than federally recognized). The FOA also explicitly included additional categories such as Historically Black Colleges and Universities (HBCUs), Hispanic-serving institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISIs), faith-based or community-based organizations, U.S. territories or possessions, and regional organizations. Non-U.S. entities were eligible as well, including foreign organizations and foreign institutions, along with non-domestic components of U.S. organizations, and the FOA allowed foreign components as defined by NIH policy. This broad eligibility aligns with the nature of computational epigenomics, where impactful contributions can come from many sectors and countries as long as the proposed work is rigorous and makes meaningful use of public datasets.
Key administrative details include the posting date and creation date of December 10, 2013, with an original and current closing date of March 3, 2014, and an archive date of April 3, 2014. The CFDA number associated with the opportunity is 93.310 (Trans-NIH Research Support), reflecting that it sits within a trans-NIH initiative rather than a single institute-specific program. For official materials and full requirements, the FOA pointed applicants to the NIH grants guide page at http://grants.nih.gov/grants/guide/rfa-files/RFA-RM-14-001.html. For technical issues accessing the announcement or linking problems, the contact listed was the NIH Office of Extramural Research (OER) Webmaster at FBOWebmaster@OD.NIH.GOV.
Overall, this FOA was designed to accelerate discovery from the Roadmap Epigenomics reference resource by funding investigators who could turn large, standardized epigenomic maps into deeper functional understanding. The emphasis is on computational innovation and analysis-driven insight, with funding intended to support projects that extract maximum value from a major public biomedical dataset and translate that value into broadly useful biological conclusions, methods, or interpretive frameworks.
Frequently Asked Questions (FAQs)
What is the title of this funding opportunity?
The funding opportunity is titled "Computational Analyses Exploiting Reference Epigenomic Maps (R01)."
What is the Funding Opportunity Number (FOA number)?
The FOA number is RFA-RM-14-001.
Which agency is offering this opportunity?
This opportunity was released by the National Institutes of Health (NIH), under the NIH Common Fund Epigenomics program.
What is the main purpose of this FOA?
The purpose is to support research projects that perform computational and statistical analyses using publicly available reference epigenomic datasets produced by the Roadmap Epigenomics Program, with the goal of extracting new biological and biomedical insights.
Is this FOA meant to fund new epigenomic mapping data generation?
No. The emphasis is on exploiting and analyzing existing, publicly available reference epigenomic maps rather than generating entirely new mapping data from scratch.
What kind of research approach is emphasized?
The FOA emphasizes computational and statistical approaches, including developing new methods or applying existing methods in innovative ways to interpret, integrate, and use standardized Roadmap epigenomic reference maps.
What datasets are applicants expected to use?
Applicants are encouraged to use the publicly available epigenomic datasets produced by the Roadmap Epigenomics Program (reference epigenomic maps across multiple human tissues and cell types).
What is the activity category for this FOA?
The activity category is Health, reflecting NIH's interest in how epigenomic regulation connects to human biology and disease.
What grant mechanism is used for awards under this FOA?
The award mechanism is the NIH R01 research project grant, which typically supports a defined, investigator-driven research plan over multiple years.
How many awards were anticipated?
The FOA anticipated making about 10 awards.
What was the estimated total program funding level?
The estimated total program funding level was $3,000,000.
What was the award ceiling?
The award ceiling was $200,000.
Is cost sharing or matching required?
No. There was no cost-sharing or matching requirement.
What types of projects are responsive to this FOA?
Projects aligned with this FOA generally include computational efforts to extract biological meaning from reference epigenomic maps, such as integrating multiple epigenomic marks to define regulatory elements, comparing epigenomic states across tissues or developmental stages, linking epigenomic patterns to gene expression and regulatory networks, developing models to predict functional genome regions, or creating analytical frameworks that connect epigenomic variation to phenotype and disease mechanisms.
Who is eligible to apply?
Eligibility was broad and included domestic and international organizations across many categories, including various government entities, institutions of higher education (public and private), nonprofit organizations (with or without 501(c)(3) status), for-profit organizations (including small businesses), tribal governments and tribal organizations, and additional institution types explicitly listed in the FOA.
Are U.S. federal, state, and local government entities eligible?
Yes. Eligible applicants included federal, state, county, city, township, and special district governments, among others.
Are institutions of higher education eligible?
Yes. Both public and state-controlled institutions of higher education and private institutions of higher education were eligible.
Are nonprofit organizations eligible?
Yes. Nonprofit organizations were eligible, including those with or without 501(c)(3) status (with the exception that higher education institutions are treated separately under the eligibility categories listed).
Are for-profit organizations eligible?
Yes. For-profit organizations were eligible, including small businesses and other for-profit entities.
Are tribal governments and tribal organizations eligible?
Yes. Eligible applicants included Native American tribal governments and tribal organizations, both federally recognized and those other than federally recognized.
Were minority-serving institutions specifically included?
Yes. The FOA explicitly included categories such as Historically Black Colleges and Universities (HBCUs), Hispanic-serving institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian Serving Institutions, and Asian American Native American Pacific Islander Serving Institutions (AANAPISIs).
Are faith-based or community-based organizations eligible?
Yes. Faith-based or community-based organizations were explicitly included among eligible applicant types.
Are U.S. territories or possessions eligible?
Yes. U.S. territories or possessions were listed among eligible categories.
Are non-U.S. (foreign) organizations eligible to apply?
Yes. Non-U.S. entities were eligible, including foreign organizations and foreign institutions.
Does the FOA allow foreign components under NIH policy?
Yes. The FOA allowed foreign components as defined by NIH policy, including non-domestic components of U.S. organizations.
What were the key dates for this FOA?
The posting date and creation date were December 10, 2013. The original and current closing date was March 3, 2014. The archive date was April 3, 2014.
What is the CFDA number associated with this opportunity?
The CFDA number is 93.310 (Trans-NIH Research Support).
Where could applicants find the official FOA and full requirements?
The FOA directed applicants to the NIH Grants Guide page: http://grants.nih.gov/grants/guide/rfa-files/RFA-RM-14-001.html
Who was listed as the contact for technical issues with accessing the announcement?
For technical issues (such as problems accessing the announcement or linking issues), the contact listed was the NIH Office of Extramural Research (OER) Webmaster at FBOWebmaster@OD.NIH.GOV.
What is the overall goal of the FOA in practical terms?
In practical terms, the FOA was designed to accelerate discovery by funding investigators who can turn large, standardized Roadmap epigenomic reference maps into deeper functional understanding through computational analysis, producing broadly useful biological conclusions, methods, or interpretive frameworks.
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