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Metabolomics Data Analysis (R03)

Post Date

October 30th 2015

Application Due Date

February 11th 2016

Funding Opportunity Number

RFA-RM-15-021

CFDA Number(s)

93.310

Funding Instrument Type(s)

Grant

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); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession.

Funding

  • Estimated Total Funding:

    $1000000

  • Award Range:

    $None - $100000

Grant Description

The purpose of this small research grant Funding Opportunity Announcement (FOA) is to foster collaboration between bioinformaticians, metabolomics experts, and/or biomedical researchers in efforts to improve the ability to analyze metabolomics data to address biomedical questions. It is also expected that these grants would complement the current efforts of the Common Fund Metabolomics Program and maximize the value of existing metabolomics databases and resources.

Contact Information


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