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Natural Selection Wins $406K SBIR Grant to Develop microRNA Software; $250K in Matching Funds Possible

NEW YORK, Aug. 17 (GenomeWeb News) - Natural Selection has won a two-year, $406,000 Phase II SBIR grant from the National Science Foundation to further develop microRNA detection and analysis software, the La Jolla, Calif.-based company said yesterday.

 

According to the company, the NSF will also provide up to $250,000 in matching funds when third parties invest in the technology. "We are actively pursuing several avenues in this regard to ensure the broadest possible successful commercialization of our technology," said Natural Selection CEO David Fogel in a statement.

 

During phase I of the grant, company researchers developed machine learning approaches to discriminate fRNA coding regions from non-coding regions in four model eukaryotes. During phase II, the scientists plan to refine evolved neural networks for ten eukaryotes to discriminate these regions, and to validate predicted fRNA coding regions in humans and mice experimentally.

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