URL: https://github.com/eduardporta/e-Driver
Proper Citation: e-Driver (RRID:SCR_002674)
Description: Software tool to identify cancer driver genes based on linear annotations of biological regions such as protein domains.Uses information on three-dimensional structures of mutated proteins to identify specific structural features. Then algorithm analyzes whether these features are enriched in cancer somatic mutations and are candidate driver genes.
Resource Type: standalone software, software application, software resource
Defining Citation: PMID:25064568
Keywords: Identify cancer driver genes, candidate driver genes, perl, protein, mutated proteins, cancer somatic mutations, bio.tools
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