RT Journal Article
SR Electronic
T1 CRAVAT 4: Cancer-Related Analysis of Variants Toolkit
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 162859
DO 10.1101/162859
A1 Masica, David L.
A1 Douville, Christopher
A1 Tokheim, Collin
A1 Bhattacharya, Rohit
A1 Kim, RyangGuk
A1 Moad, Kyle
A1 Ryan, Michael C.
A1 Karchin, Rachel
YR 2017
UL http://biorxiv.org/content/early/2017/07/12/162859.abstract
AB Cancer sequencing studies are increasingly comprehensive and well-powered, returning long lists of somatic mutations that can be difficult to sort and interpret. Diligent analysis and quality control can require multiple computational tools of distinct utility and producing disparate output, creating additional challenges for the investigator. The Cancer-Related Analysis of Variants Toolkit (CRAVAT) is an evolving suite of informatics tools for mutation interpretation that includes mutation projecting and quality control, impact prediction and extensive annotation, gene- and mutation-level interpretation including joint prioritization of all nonsilent consequence types, and structural and mechanistic visualization. Results from CRAVAT submissions are explored in an interactive, user-friendly web-environment with dynamic filtering and sorting designed to highlight the most informative mutation, even in the context of very large studies. CRAVAT can be run on a public web-portal, in the cloud, or downloaded for local use, and is easily integrated with other methods for cancer omics analysis.Conflict of interest All authors declare no potential conflict of interest.