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CRAVAT: cancer-related analysis of variants toolkit

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...

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Detalles Bibliográficos
Autores principales: Douville, Christopher, Carter, Hannah, Kim, Rick, Niknafs, Noushin, Diekhans, Mark, Stenson, Peter D., Cooper, David N., Ryan, Michael, Karchin, Rachel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3582272/
https://www.ncbi.nlm.nih.gov/pubmed/23325621
http://dx.doi.org/10.1093/bioinformatics/btt017
Descripción
Sumario: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. Availability: http://www.cravat.us/ Contact: karchin@jhu.edu Supplementary information: Supplementary data are available at Bioinformatics online.