DriverDBv2: A database for human cancer driver gene research

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DriverDBv2, a database which incorporates ~13000 cases of exome-seq and >9500 cancer-related RNA-seq datasets, in addition to annotation databases and published bioinformatics algorithms dedicated to driver gene/mutation identification. The database provides four functions, ‘Cancer’, ‘Gene’, ‘GeneSet’, and ‘Meta-Analysis’, to help researchers visualize the relationships between cancers and driver genes/mutations.
  • The ‘Cancer’ section summarizes the calculated results of driver genes by 15 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 and expression information of a driver gene. It provides four main panels to describe a driver gene in distinct aspects.
  • The ‘GeneSet’ section allows researchers to visualize the mutations, expression levels and clinical profiles of customer-defined genes, datasets and clinical data.
  • The ‘Meta-Analysis’ function is provided for researchers to identify driver genes in customer-defined samples. We provide a list of clinical criteria, such as ICD-O-3 histology, tumor stage, distant metastasis and lymph node status, to help researchers to select a sub-group of well-defined cancer samples according to one or multiple clinical parameters for driver gene identification. The user will receive a notification email with a Result ID, and then visualized driver gene results in the ‘Result and Download’ section when the job is completed.
Cancer

Example: Sarcoma(TCGA,US)
Gene

Example: TP53
GeneSet

Example: KRAS, NRAS and RAF in Colon_adenocarcinoma(TCGA,US)
Meta-analysis

Results&Download



Citation:
Chung, I. F., et al. (2016). "DriverDBv2: a database for human cancer driver gene research." Nucleic Acids Res 44(D1): D975-979.

 Schematic representation of DriverDBv2 



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Prof. Wang's Lab, National Yang-Ming University