Novel and Innovative Tools to Facilitate Identification, Tracking, Manipulation, and Analysis of Glycans and their Functions (R21)
ArchivedNational Institutes of Health
Description
The Common Fund Program - Accelerating Translation of Glycoscience: Integration and Accessibility- aims to develop accessible and affordable new tools and technologies for studying carbohydrates that will enable researchers in all biomedical fields to dramatically advance our understanding of the roles of these complex molecules in health and disease and to not abandon glycan discovery due to the difficulty or inability to study them. This FOA solicits development of new, more easily accessible tools, reagents, and technologies to facilitate identification, tracking, manipulation, and analysis of glycans with their biological binding partners and determine their functions. This initiative may build on efforts that interface with existing technologies and procedures to make them easier to access and use. As applicable, efforts must consider: factors for scale-up; efforts to make instrumentation broadly accessible and cost-effective for the end-user; and compatibility of data generated with integration into existing databases.
Who can apply
- State governments
- County governments
- City or township governments
- Special district governments
- Independent school districts
- Public and State controlled institutions of higher education
- Native American tribal governments (Federally recognized)
- Public housing authorities / Indian housing authorities
- Native American tribal organizations (other than Federally recognized)
- Nonprofits with 501(c)(3) status (other than higher education)
- Nonprofits without 501(c)(3) status (other than higher education)
- Private institutions of higher education
- For-profit organizations other than small businesses
- Small businesses
- Others
Contact
NIH OER Webmaster<br/>FBOWebmaster@OD.NIH.GOV<br/>
FBOWebmaster@OD.NIH.GOV
- PostedSep 30, 2014
- ClosesDec 10, 2014
- Award ceiling$400,000
- Program funding$3,000,000
- Expected awards8
- CFDA93.310
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