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Bioinformatics: Data Integration for Biomonitoring Applications

Award Information
Agency: Department of Defense
Branch: Defense Threat Reduction Agency
Contract: HDTRA1-17-P-0016
Agency Tracking Number: T162-002-0076
Amount: $149,871.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: DTRA162-002
Solicitation Number: 2016.2
Solicitation Year: 2016
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-03-21
Award End Date (Contract End Date): 2017-10-20
Small Business Information
1483 Oak Street
San Francisco, CA 94117
United States
DUNS: 079796754
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Samuel Minot
 Principal Scientist
 (617) 852-3067
Business Contact
 Nicholas Greenfield
Phone: (415) 742-2733
Research Institution

To effectively counter Weapons of Mass Destruction (WMD) we must be able to accurately and sensitively detect the sites of WMD development. While the reagents and byproducts of nuclear activity may be rapidly depleted from environmental sites, those transient perturbations leave a lasting mark on the resident microbial communities by promoting and restricting the growth of different microorganisms. We propose to demonstrate that metagenomic analysis of microbial communities can be used to identify environmental sites that have been exposed to ionizing radiation, radioisotopes, and/or process chemicals associated with nuclear activities. This work will combine the advanced capabilities for characterizing and comparing microbial communities via metagenomic analysis on the One Codex platform, microbiome domain expertise of One Codex scientists, as well as the extensive knowledge and expertise of Zheng Wang, Ph.D. in the biological effects of radiation on microbial populations. Our project will characterize the microbial composition of publicly available environmental samples that have been exposed to nuclear contamination; develop computational models linking genomic characteristics of microbial communities with environmental exposure to nuclear contamination; and demonstrate the technical and computational approach that will support Phase II goals, including application of this diagnostic procedure to other types of microbial communities.

* Information listed above is at the time of submission. *

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