title: CRAVAT: cancer-related analysis of variants toolkit.
abstract: CONCLUSIONS
  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.
  
  
  BACKGROUND
  http://www.cravat.us/
authors: Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA.
authors: Christopher
authors: C
authors: Douville
authors: Hannah
authors: H
authors: Carter
authors: Rick
authors: R
authors: Kim
authors: Noushin
authors: N
authors: Niknafs
authors: Mark
authors: M
authors: Diekhans
authors: Peter D
authors: PD
authors: Stenson
authors: David N
authors: DN
authors: Cooper
authors: Michael
authors: M
authors: Ryan
authors: Rachel
authors: R
authors: Karchin
mesh_terms: D023281:Genomics / Q000379:methods; D006801:Humans; D020407:Internet; D009154:Mutation; D009369:Neoplasms / Q000235:genetics*; D012984:Software