CRAVAT 4: Cancer-related analysis of variants toolkit

David L. Masica, Christopher Douville, Collin Tokheim, Rohit Bhattacharya, Ryang Guk Kim, Kyle Moad, Michael C. Ryan, Rachel Karchin

Research output: Contribution to journalArticle

Abstract

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-RelatedAnalysis of Variants Toolkit (CRAVAT) is an evolving suite of informatics tools for mutation interpretation that includes mutation mapping and quality control, impact prediction and extensive annotation, gene- and mutationlevel interpretation, including joint prioritization of all nonsilent mutation 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 mutations, 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. Cancer Res; 77(21); e35-38.

Original languageEnglish (US)
Pages (from-to)e35-e38
JournalCancer Research
Volume77
Issue number21
DOIs
StatePublished - Nov 1 2017

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Fingerprint Dive into the research topics of 'CRAVAT 4: Cancer-related analysis of variants toolkit'. Together they form a unique fingerprint.

  • Cite this

    Masica, D. L., Douville, C., Tokheim, C., Bhattacharya, R., Kim, R. G., Moad, K., Ryan, M. C., & Karchin, R. (2017). CRAVAT 4: Cancer-related analysis of variants toolkit. Cancer Research, 77(21), e35-e38. https://doi.org/10.1158/0008-5472.CAN-17-0338