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

David E. Larson | Zendy; Christopher Harris | Zendy; Ken Chen | Zendy; Daniel C. Koboldt | Zendy; Travis E. Abbott | Zendy; David J. Dooling | Zendy; Timothy J. Ley | Zendy; Elaine R. Mardis | Zendy; Richard K. Wilson | Zendy; Li Ding | Zendy

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

Author(s) -

David E. Larson,

Christopher Harris,

Ken Chen,

Daniel C. Koboldt,

Travis E. Abbott,

David J. Dooling,

Timothy J. Ley,

Elaine R. Mardis,

Richard K. Wilson,

Li Ding

Publication year - 2011

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btr665

Subject(s) - software , genome , computational biology , biology , identification (biology) , computer science , data mining , genetics , gene , botany , programming language

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.

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