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OncodriveFML: a general framework to identify coding and non-coding regions with cancer driver mutations
2016
Genome Biology
Distinguishing the driver mutations from somatic mutations in a tumor genome is one of the major challenges of cancer research. This challenge is more acute and far from solved for non-coding mutations. Here we present OncodriveFML, a method designed to analyze the pattern of somatic mutations across tumors in both coding and non-coding genomic regions to identify signals of positive selection, and therefore, their involvement in tumorigenesis. We describe the method and illustrate its
doi:10.1186/s13059-016-0994-0
pmid:27311963
pmcid:PMC4910259
fatcat:whg3hamnbjgq5d23kuztyr2pdq