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

Nucleic acids research | Jan 30, 2014

http://www.ncbi.nlm.nih.gov/pubmed/24214964

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.

Pubmed ID: 24214964 RIS Download

Mesh terms: Databases, Nucleic Acid | Exome | Genes, Neoplasm | High-Throughput Nucleotide Sequencing | Humans | Internet | Molecular Sequence Annotation | Mutation

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Mouse Genome Informatics (Data, Gene Annotation)

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