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PaxtoolsR: pathway analysis in R using Pathway Commons.
Luna, Augustin; Babur, Özgün; Aksoy, Bülent Arman; Demir, Emek; Sander, Chris.
Afiliação
  • Luna A; Computational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Babur Ö; Computational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Aksoy BA; Computational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Demir E; Computational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Sander C; Computational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Bioinformatics ; 32(8): 1262-4, 2016 04 15.
Article em En | MEDLINE | ID: mdl-26685306
ABSTRACT

PURPOSE:

PaxtoolsR package enables access to pathway data represented in the BioPAX format and made available through the Pathway Commons webservice for users of the R language to aid in advanced pathway analyses. Features include the extraction, merging and validation of pathway data represented in the BioPAX format. This package also provides novel pathway datasets and advanced querying features for R users through the Pathway Commons webservice allowing users to query, extract and retrieve data and integrate these data with local BioPAX datasets. AVAILABILITY AND IMPLEMENTATION The PaxtoolsR package is compatible with versions of R 3.1.1 (and higher) on Windows, Mac OS X and Linux using Bioconductor 3.0 and is available through the Bioconductor R package repository along with source code and a tutorial vignette describing common tasks, such as data visualization and gene set enrichment analysis. Source code and documentation are at http//www.bioconductor.org/packages/paxtoolsr This plugin is free, open-source and licensed under the LGPL-3. CONTACT paxtools@cbio.mskcc.org or lunaa@cbio.mskcc.org.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos