PT  - JOURNAL ARTICLE
AU  - David L. Masica
AU  - Christopher Douville
AU  - Collin Tokheim
AU  - Rohit Bhattacharya
AU  - RyangGuk Kim
AU  - Kyle Moad
AU  - Michael C. Ryan
AU  - Rachel Karchin
TI  - CRAVAT 4: Cancer-Related Analysis of Variants Toolkit
AID  - 10.1101/162859
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 162859
4099  - http://biorxiv.org/content/early/2017/07/12/162859.short
4100  - http://biorxiv.org/content/early/2017/07/12/162859.full
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.