FIREVAT: finding reliable variants without artifacts in human cancer samples using etiologically relevant mutational signatures
Abstract
Background Accurate identification of real somatic variants is a primary part of cancer genome studies and precision oncology. However, artifacts introduced in various steps of sequencing obfuscate confidence in variant calling. Current computational approaches to variant filtering involve intensive interrogation of Binary Alignment Map (BAM) files and require massive computing power, data storage, and manual labor. Recently, mutational...
Paper Details
Title
FIREVAT: finding reliable variants without artifacts in human cancer samples using etiologically relevant mutational signatures
Published Date
Dec 1, 2019
Journal
Volume
11
Issue
1
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