CRAVAT: Cancer-related analysis of variants toolkit

Christopher Douville, Hannah Carter, Rick Kim, Noushin Niknafs, Mark Diekhans, Peter D. Stenson, David N. Cooper, Michael Ryan, Rachel Karchin

Research output: Contribution to journalArticlepeer-review

Abstract

Summary: Advances in sequencing technology have greatly reduced the costs incurred in collecting raw sequencing data. Academic laboratories and researchers therefore now have access to very large datasets of genomic alterations but limited time and computational resources to analyse their potential biological importance. Here, we provide a web-based application, Cancer-Related Analysis of Variants Toolkit, designed with an easy-to-use interface to facilitate the high-throughput assessment and prioritization of genes and missense alterations important for cancer tumorigenesis. Cancer-Related Analysis of Variants Toolkit provides predictive scores for germline variants, somatic mutations and relative gene importance, as well as annotations from published literature and databases. Results are emailed to users as MS Excel spreadsheets and/or tab-separated text files.

Original languageEnglish (US)
Pages (from-to)647-648
Number of pages2
JournalBioinformatics
Volume29
Issue number5
DOIs
StatePublished - Mar 2013

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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