Limited Competition: Knockout Mouse Phenotyping Project Database (UM1)

Post Date

October 7th 2015

Application Due Date

December 9th 2015

Funding Opportunity Number

RFA-RM-15-016

CFDA Number(s)

93.113
93.121
93.172
93.173
93.233
93.273
93.279
93.310
93.313
93.351
93.396
93.837
93.838
93.839
93.846
93.847
93.853
93.855
93.856
93.859
93.865
93.866
93.867

Funding Instrument Type(s)

Cooperative Agreement

Funding Activity Categories

Education
Environment
Food and Nutrition
Health
Income Security and Social Services

Number of Awards

1

Eligibility Categories

Public and State Controlled Institutions of Higher Education
Private Institutions of Higher Education

Funding

• Estimated Total Funding:

  $12500000

• Award Range:

  $None - $None

Grant Description

This initiative is funded through the NIH Common Fund, which supports cross-cutting programs that are expected to have exceptionally high impact. All Common Fund initiatives invite investigators to develop bold, innovative, and often risky approaches to address problems that may seem intractable or to seize new opportunities that offer the potential for rapid progress. The purpose of the Knockout Mouse Phenotyping Project (KOMP2) is to produce a comprehensive resource of null-mutant mice, and associated phenotype data, for the purpose of elucidating functional information for each protein-coding gene in the mammalian genome. The goal of this FOA is to provide informatics support to NIH funded projects that are performing high-throughput broad based phenotyping of mouse knock-out (KO) lines (see RFA-RM-15-017) and to coordinate with international efforts so as to integrate all data into a common database under the auspices of the International Mouse Phenotyping Consortium (IMPC). The Data Coordination Center and Database (DCCDB) will perform the curation, analysis, visualization, and dissemination of the phenotype data from the knockout lines. Curation will require integration with other data sources. Analysis will require further development and validation of statistical methods.Visualization and queries will require innovative tools to disseminate the data in a real-time environment. The ultimate goals of these efforts are to enhance the ability of the biomedical research community to identify new disease models, to better understand phenotypic patterns, and to gain a more comprehensive understanding of the underlying function of each gene.

Contact Information

• Agency

  Department of Health and Human Services

• Office:

  National Institutes of Health

• Agency Contact:

  NIH OER Webmaster
  FBOWebmaster@OD.NIH.GOV
  

• Agency Mailing Address:

  If you have any problems linking to this funding announcement, please contact the NIH OER Webmaster

• Agency Email Address:

  FBOWebmaster@OD.NIH.GOV

• More Information:

  http://grants.nih.gov/grants/guide/rfa-files/RFA-RM-15-016.html