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Computational Analysis of the Encyclopedia of DNA Elements (ENCODE) Data (U01)

Post Date

January 14th 2016

Application Due Date

March 21st 2016

Funding Opportunity Number

RFA-HG-16-004

CFDA Number(s)

93.172

Funding Instrument Type(s)

Cooperative Agreement

Funding Activity Categories

Health

Eligibility Categories

State Governments
County Governments
City or Township Governments
Special District Governments
Independent School Districts
Public and State Controlled Institutions of Higher Education
Federally Recognized Native American Tribal Governments
Public Housing Authorities or Indian Housing Authorities
Non-Federally Recognized Native American Tribal Organizations
Non-Profits With 501 (c) (3) Status With The IRS (Except Higher Education Institutions)
Non-Profits Without 501 (c) (3) Status With The IRS (Except Higher Education Institutions)
Private Institutions of Higher Education
For-Profit Organizations (Except Small Businesses)
Small Businesses
Other

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); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession; Non-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply. Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are allowed.

Funding

  • Award Range:

    $None - $None

Grant Description

The purpose of this FOA is to solicit applications from researchers to develop and apply new computational analysis methods to data from the Encyclopedia of DNA Elements (ENCODE) Project, with the goal of improving and interpreting the catalogs of candidate functional elements in the human and mouse genomes that the ENCODE Project has produced. Computational analysis activities supported by this FOA could include, for example, developing new methods to improve on analysis and interpretation of ENCODE data, combining ENCODE data with related functional genomic data from other projects to derive new biological insights, using the ENCODE data to improve on the analysis of disease mapping studies to identify causal variants, or developing tools for functional annotation and interpretation of individual genomes in support of personalized genomic medicine efforts.

Contact Information


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