Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers

Abstract

Large-scale cancer genome sequencing has uncovered thousands of gene mutations, but distinguishing tumor driver genes from functionally neutral passenger mutations is a major challenge. We analyzed 800 cancer genomes of eight types to find single-nucleotide variants (SNVs) that precisely target phosphorylation machinery, important in cancer development and… (More)
DOI: 10.1038/msb.2012.68

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@inproceedings{Reimand2013SystematicAO, title={Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers}, author={J{\"u}ri Reimand and Gary D. Bader}, booktitle={Molecular systems biology}, year={2013} }