Cooperative Ecosystem Studies Unit, Great Lakes Northern Forests CESU

Funding Opportunity ID: 328717
Opportunity Number: G20AS00136
Opportunity Title: Cooperative Ecosystem Studies Unit, Great Lakes Northern Forests CESU
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Cooperative Agreement
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
CFDA Number(s): 15.808
Eligible Applicants: Others (see text field entitled “Additional Information on Eligibility” for clarification)
Additional Information on Eligibility: This financial assistance opportunity is being issued under a Cooperative Ecosystem Studies Unit (CESU) Program. CESU¿s are partnerships that provide research, technical assistance, and education. Eligible recipients must be a participating partner of the Great Lakes Northern Forests Cooperative Ecosystem Studies Unit (CESU) Program and contain a recognized statistical department with documented expertise in spatial and spatial-temporal statistical modeling.
Agency Code: DOI-USGS1
Agency Name: Department of the Interior
U. S. Geological Survey
Posted Date: Aug 17, 2020
Close Date: Aug 28, 2020
Last Updated Date: Aug 17, 2020
Award Ceiling: $386,575
Award Floor: $0
Estimated Total Program Funding: $386,575
Expected Number of Awards: 1
Description: US Geological Survey, National Wildlife Heath Center, is offering a funding opportunity to a CESU Partner for research to characterize the limits of sensitivity of two emerging, low-cost NGS platforms. Oxford Nanopore¿s technology promises rapid time to pathogen identification as the platform produces data for analysis in real time, rather than having to wait hours or days required to complete a NGS run using a more conventional platform. Will characterize the sensitivity of the Oxford Nanopore Minion platform for the identification of a viral pathogen directly from a sample in as little as 30 minutes. Will also characterize the minimal amount of virus necessary in a sample for the assembly of a whole viral genome using the Illumina iSeq 100 system. The iSeq platform provides an ideal combination of high data density inherent in Illiumina technology but downscaled for single, high-value samples. Finally, will standardize the procedures we develop for the two platforms into SOPs, improve the analytical software for analysis on both platforms, and disseminate this information so that other NAHLN labs can quickly adopt the capability for rapid detection of emerging pathogens.
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