Enabling Discovery through GEnomic Tools

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Funding Opportunity ID: 323293
Opportunity Number: 20-532
Opportunity Title: Enabling Discovery through GEnomic Tools
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Grant
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
CFDA Number(s): 47.074
Eligible Applicants: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility”
Additional Information on Eligibility:
Agency Code: NSF
Agency Name: National Science Foundation
Posted Date: Dec 24, 2019
Close Date: Proposals accepted anytime
Last Updated Date: Dec 24, 2019
Award Ceiling: $2,000,000
Award Floor: $1
Estimated Total Program Funding: $10,000,000
Expected Number of Awards: 15
Description: The Enabling Discovery through GEnomic Tools (EDGE) program supports genomic research that addresses the mechanistic basis of complex traits in diverse organisms within the context (environmental, developmental, social, and/or genomic) in which they function. The EDGE program also continues to support the development of innovative tools, technologies, resources, and infrastructure that advance biological research focused on the identification of the causal mechanisms connecting genes and phenotypes. EDGE is designed to provide support for (1) the development of tools, approaches, and infrastructure aimed at testing cause and effect hypotheses between gene function and phenotypes in diverse plants, animals, microbes, viruses, or fungi for which these methods are presently unavailable, and (2) hypothesis-driven research that tests cause and effect relations between genotype(s) and phenotypes in non-model plants, animals, microbes, viruses, or fungi. These goals are essential to uncovering the rules that underlie genomes-to-phenomes relationships, an area relevant to Understanding the Rules of Life: Predicting Phenotype, one of the 10 Big Ideas for future NSF investment.
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