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CHASM and SNVBox: toolkit for detecting biologically important single nucleotide mutations in cancer.
Wong, Wing Chung; Kim, Dewey; Carter, Hannah; Diekhans, Mark; Ryan, Michael C; Karchin, Rachel.
Afiliação
  • Wong WC; Department of Biomedical Engineering and Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA.
Bioinformatics ; 27(15): 2147-8, 2011 Aug 01.
Article em En | MEDLINE | ID: mdl-21685053
ABSTRACT

SUMMARY:

Thousands of cancer exomes are currently being sequenced, yielding millions of non-synonymous single nucleotide variants (SNVs) of possible relevance to disease etiology. Here, we provide a software toolkit to prioritize SNVs based on their predicted contribution to tumorigenesis. It includes a database of precomputed, predictive features covering all positions in the annotated human exome and can be used either stand-alone or as part of a larger variant discovery pipeline. AVAILABILITY AND IMPLEMENTATION MySQL database, source code and binaries freely available for academic/government use at http//wiki.chasmsoftware.org, Source in Python and C++. Requires 32 or 64-bit Linux system (tested on Fedora Core 8,10,11 and Ubuntu 10), 2.5*≤ Python <3.0*, MySQL server >5.0, 60 GB available hard disk space (50 MB for software and data files, 40 GB for MySQL database dump when uncompressed), 2 GB of RAM.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Software / Análise Mutacional de DNA / Neoplasias Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2011 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Software / Análise Mutacional de DNA / Neoplasias Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2011 Tipo de documento: Article País de afiliação: Estados Unidos