DriverDB: An exome sequencing database for cancer driver gene identification

Wei Chung Cheng, I. Fang Chung, Chen Yang Chen, Hsing Jen Sun, Jun Jeng Fen, Wei Chun Tang, Ting Yu Chang, Tai-Tong Wong, Hsei Wei Wang

Research output: Contribution to journalArticle

47 Citations (Scopus)

Abstract

Exome sequencing (exome-seq) has aided in the discovery of a huge amount of mutations in cancers, yet challenges remain in converting oncogenomics data into information that is interpretable and accessible for clinical care. We constructed DriverDB (http://ngs.ym.edu.tw/driverdb/), a database which incorporates 6079 cases of exome-seq data, annotation databases (such as dbSNP, 1000 Genome and Cosmic) and published bioinformatics algorithms dedicated to driver gene/mutation identification. We provide two points of view, 'Cancer' and 'Gene', to help researchers to visualize the relationships between cancers and driver genes/mutations. The 'Cancer' section summarizes the calculated results of driver genes by eight computational methods for a specific cancer type/dataset and provides three levels of biological interpretation for realization of the relationships between driver genes. The 'Gene' section is designed to visualize the mutation information of a driver gene in five different aspects. Moreover, a 'Meta-Analysis' function is provided so researchers may identify driver genes in customer-defined samples. The novel driver genes/mutations identified hold potential for both basic research and biotech applications.

Original languageEnglish
JournalNucleic Acids Research
Volume42
Issue numberD1
DOIs
Publication statusPublished - Jan 1 2014
Externally publishedYes

ASJC Scopus subject areas

  • Genetics

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  • Cite this

    Cheng, W. C., Chung, I. F., Chen, C. Y., Sun, H. J., Fen, J. J., Tang, W. C., Chang, T. Y., Wong, T-T., & Wang, H. W. (2014). DriverDB: An exome sequencing database for cancer driver gene identification. Nucleic Acids Research, 42(D1). https://doi.org/10.1093/nar/gkt1025