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PMID: 22155872 Published · ppublish English Journal Article Research Support, N.I.H., Extramural

SomaticSniper: identification of somatic point mutations in whole genome sequencing data.

Bioinformatics (Oxford, England) ·Vol. 28 ·No. 3 ·2012-02-01 ·Pages 311-7

Larson DE, Harris CC, Chen K, Koboldt DC, Abbott TE, Dooling DJ, Ley TJ, Mardis ER, Wilson RK, Ding L

Abstract

The sequencing of tumors and their matched normals is frequently used to study the genetic composition of cancer. Despite this fact, there remains a dearth of available software tools designed to compare sequences in pairs of samples and identify sites that are likely to be unique to one sample. In this article, we describe the mathematical basis of our SomaticSniper software for comparing tumor and normal pairs. We estimate its sensitivity and precision, and present several common sources of error resulting in miscalls. Binaries are freely available for download at http://gmt.genome.wustl.edu/somatic-sniper/current/, implemented in C and supported on Linux and Mac OS X. [email protected]; [email protected] Supplementary data are available at Bioinformatics online.

MeSH Terms
Genome, Human Humans Neoplasms/genetics Point Mutation Polymorphism, Single Nucleotide Software
Authors & Affiliations
10 authors, click to expand affiliations / ORCID
Larson David E
The Genome Institute, Washington University, St Louis, MO 63108, USA. [email protected]
Harris Christopher C
Chen Ken
Koboldt Daniel C
Abbott Travis E
Dooling David J
Ley Timothy J
Mardis Elaine R
Wilson Richard K
Ding Li
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Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4811
Published
2012-02-01
Epub
2011-00-06
Pages
311-7
Language
English
Region
England
NLM ID
9808944
PMCID
PMC3268238
Subset
IM
Grants
NCI NIH HHS · P01 CA101937 · United States
NHGRI NIH HHS · U54 HG003079 · United States
NHGRI NIH HHS · HG003079 · United States
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