Open AccessUsing SomaticSniper to Detect Somatic Single Nucleotide Variants
Author(s) -
Larson David E.,
Abbott Travis E.,
Wilson Richard K.
Publication year - 2014
Publication title -
current protocols in bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.535
H-Index - 57
eISSN - 1934-340X
pISSN - 1934-3396
DOI - 10.1002/0471250953.bi1505s45
Subject(s) - false positive paradox , somatic cell , protocol (science) , biology , computational biology , single nucleotide polymorphism , genetics , computer science , gene , medicine , artificial intelligence , genotype , pathology , alternative medicine
Detecting somatic single nucleotide variants (SNVs) is an essential component of cancer research with next‐generation sequencing data. This unit describes how to run the SomaticSniper somatic SNV detector and then filter the output to eliminate most false positives. It also includes support protocols detailing the compilation of the software. Curr. Protoc. Bioinform . 45:15.5.1‐15.5.8. © 2014 by John Wiley & Sons, Inc.