Cake: a bioinformatics pipeline for the integrated analysis of somatic variants in cancer genomes | Zendy

Mamunur Rashid | Zendy; Carla Daniela RoblesEspinoza | Zendy; Alistair G. Rust | Zendy; David J. Adams | Zendy

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Cake: a bioinformatics pipeline for the integrated analysis of somatic variants in cancer genomes

Author(s) -

Mamunur Rashid,

Carla Daniela RoblesEspinoza,

Alistair G. Rust,

David J. Adams

Publication year - 2013

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/btt371

Subject(s) - somatic cell , pipeline (software) , genome , computational biology , biology , genetics , bioinformatics , computer science , gene , programming language

We have developed Cake, a bioinformatics software pipeline that integrates four publicly available somatic variant-calling algorithms to identify single nucleotide variants with higher sensitivity and accuracy than any one algorithm alone. Cake can be run on a high-performance computer cluster or used as a stand-alone application. Availabilty: Cake is open-source and is available from http://cakesomatic.sourceforge.net/

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