Genomics, Proteomics & Bioinformatics 2019;17(3):311-318

doi:10.1016/j.gpb.2018.10.004

C: Consensus Cancer Driver Gene Caller.

Chen-Yu ZHU 1 ; Chi ZHOU 1 ; Yun-Qin CHEN 2 ; Ai-Zong SHEN 3 ; Zong-Ming GUO 2 ; Zhao-Yi YANG 3 ; Xiang-Yun YE 4 ; Shen QU 5 ; Jia WEI 6 ; Qi LIU 7

Affiliations

+expand

Keywords

Cancer driver genes; Consensus; Data integration; Somatic mutation; Web server

Country

China

Language

English

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 (C), 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. C is implemented in Python and is freely available for public use at http://drivergene.rwebox.com/c3.