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NIDCR Small Research Grants for Data Analysis and Statistical Methodology Applied to Genome-wide Data (R03)

Post Date

January 7th 2016

Application Due Date

January 7th 2019

Funding Opportunity Number

PAR-16-070

CFDA Number(s)

93.121

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

  • Award Range:

    $None - $200000

Grant Description

The purpose of this FOA is to provide support for meritorious research projects that involve statistical analysis of existing genome-wide data (e.g. genome-wide SNP genotyping; DNA sequencing; transcriptomic, metagenomic, epigenomic, or gene expression data) relevant to human dental, oral, or craniofacial conditions or traits. Development of statistical methodology appropriate for analyzing genome-wide data, relevant to human dental, oral, or craniofacial conditions or traits, may also be proposed.

Contact Information


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