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DriverDB: an exome sequencing database for cancer driver gene identification.

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 (, 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.

Pubmed ID: 24214964


  • Cheng WC
  • Chung IF
  • Chen CY
  • Sun HJ
  • Fen JJ
  • Tang WC
  • Chang TY
  • Wong TT
  • Wang HW


Nucleic acids research

Publication Data

January 30, 2014

Associated Grants


Mesh Terms

  • Databases, Nucleic Acid
  • Exome
  • Genes, Neoplasm
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Internet
  • Molecular Sequence Annotation
  • Mutation