C3: Consensus Cancer Driver Gene Caller.

C3: Consensus Cancer Driver Gene Caller. Genomics Proteomics Bioinformatics. 2019 Aug 26;: Authors: Zhu CY, Zhou C, Chen YQ, Shen AZ, Guo ZM, Yang ZY, Ye XY, Qu S, Wei J, Liu Q Abstract Next-generation sequencing has allowed identification of millions of somatic mutations in human cancer cells. A key challenge in interpreting cancer genomes is to distinguish drivers of cancer development among available genetic mutations. To address this issue, we present the first web-based application, consensus cancer driver gene caller (C3), to identify the consensus driver genes using six different complementary strategies, i.e., frequency-based, machine learning-based, functional bias-based, clustering-based, statistics model-based, and network-based strategies. This application allows users to specify customized operations when calling driver genes, and provides solid statistical evaluations and interpretable visualizations on the integration results. C3 is implemented in Python and is freely available for public use at http://drivergene.rwebox.com/c3. PMID: 31465854 [PubMed - as supplied by publisher]
Source: Genomics Proteomics ... - Category: Genetics & Stem Cells Authors: Tags: Genomics Proteomics Bioinformatics Source Type: research