ISOWN: accurate somatic mutation identification in the absence of normal tissue controls

ISOWN: accurate somatic mutation identification in the absence of normal tissue controls

Abstract Background A key step in cancer genome analysis is the identification of somatic mutations in the tumor. This is typically done by comparing the genome of the tumor to the reference genome sequence derived from a normal tissue taken from the same donor. However, there are a variety of commo...

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Bibliographic Details
Main Authors: Irina Kalatskaya, Quang M. Trinh, Melanie Spears, John D. McPherson, John M. S. Bartlett, Lincoln Stein
Format: Article
Language:English
Published: BMC 2017-06-01
Series:Genome Medicine
Subjects:
Next-generation sequencing
Somatic mutation
Matching normal tissue
Variant classification
Online Access:http://link.springer.com/article/10.1186/s13073-017-0446-9

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http://link.springer.com/article/10.1186/s13073-017-0446-9

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