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

Summary: 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 clus...

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Detalles Bibliográficos
Autores principales: Rashid, Mamunur, Robles-Espinoza, Carla Daniela, Rust, Alistair G., Adams, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3740632/
https://www.ncbi.nlm.nih.gov/pubmed/23803469
http://dx.doi.org/10.1093/bioinformatics/btt371
Descripción
Sumario:Summary: 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/ Contact: da1@sanger.ac.uk Supplementary Information: Supplementary data are available at Bioinformatics online.

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