González-Pérez, AbelLópez Bigas, Núria2019-01-312019-01-312013Gonzalez-Perez A, Mustonen V, Reva B, Ritchie GR, Creixell P, Karchin R et al. Computational approaches to identify functional genetic variants in cancer genomes. Nat Methods. 2013;10(8):723-9. DOI: 10.1038/nmeth.25621548-7091http://hdl.handle.net/10230/36463The International Cancer Genome Consortium (ICGC) aims to catalog genomic abnormalities in tumors from 50 different cancer types. Genome sequencing reveals hundreds to thousands of somatic mutations in each tumor but only a minority of these drive tumor progression. We present the result of discussions within the ICGC on how to address the challenge of identifying mutations that contribute to oncogenesis, tumor maintenance or response to therapy, and recommend computational techniques to annotate somatic variants and predict their impact on cancer phenotype.application/pdfeng© Springer Nature Publishing AG. Gonzalez-Perez A, Mustonen V, Reva B, Ritchie GR, Creixell P, Karchin R et al. Computational approaches to identify functional genetic variants in cancer genomes. Nat Methods. 2013; 10(8):723-9. DOI 10.1038/nmeth.2562 [http://dx.doi.org/10.1038/nmeth.2562]info:eu-repo/semantics/articlehttp://dx.doi.org/10.1038/nmeth.2562Cancer genomicsComputational biology and bioinformaticsGenetic variationSequence annotationinfo:eu-repo/semantics/openAccess