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

研究成果: 雜誌貢獻文章同行評審

47 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
期刊Nucleic Acids Research
42
發行號D1
DOIs
出版狀態已發佈 - 一月 1 2014
對外發佈Yes

ASJC Scopus subject areas

  • Genetics

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