Software Offers Analysis Alternative for Cancer Studies Lacking Matched Controls

Jul 06, 2017

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NEW YORK (GenomeWeb) – Researchers from the Informatics and Biocomputing arm of the Ontario Institute for Cancer Research and elsewhere have published an algorithm that they claim can distinguish between somatic and germline single nucleotide variants in next-generation sequencing data from tumor tissue in the absence of normal controls.

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