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Identification of Druggable Cancer Driver Genes Amplified across TCGA Datasets

29 May 2014

Abstract excerpt

The Cancer Genome Atlas (TCGA) projects have advanced our understanding of the driver mutations, genetic backgrounds, and key pathways activated across cancer types. Analysis of TCGA datasets have mostly focused on somatic mutations and translocations, with less emphasis placed on gene amplifications. Here we describe a bioinformatics screening strategy to identify putative cancer driver genes amplified across...

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PMID: 24874471
DOI: 10.1371/journal.pone.0098293

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