SBIR-STTR Award

Machine Learning Software for Viral Sequence Analysis and Diagnostics
Award last edited on: 6/6/2006

Sponsored Program
SBIR
Awarding Agency
NSF
Total Award Amount
$100,000
Award Phase
1
Solicitation Topic Code
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Principal Investigator
Gary B Fogel

Company Information

Natural Selection Inc

9330 Scranton Road Suite 150
San Diego, CA 92121
   (858) 455-6449
   nsi@natural-selection.com
   www.natural-selection.com
Location: Single
Congr. District: 52
County: San Diego

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2006
Phase I Amount
$100,000
This Small Business Innovative Research (SBIR) Phase I project focuses on developing computational intelligence tools for viral sequence analysis. In contrast to current modeling approaches, the proposed software tool will result in an easily interpreted best model that can be used to better understand the relationship between sequence variations and phenotypic behavior and or response. The research will result in a user friendly software tool that will allow for better predictability of the effect of viral mutations on infectivity, efficacy of the virus as well as aid in the development of antivirals and effect of treatments. This has broad application in viral research and pharmaceutical design

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
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Phase II Amount
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