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PhenomeScape: a cytoscape app to identify differentially regulated sub-networks using known disease associations.
Soul, Jamie; Dunn, Sara L; Hardingham, Tim E; Boot-Handford, Ray P; Schwartz, Jean-Marc.
Afiliação
  • Soul J; Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK.
  • Dunn SL; Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK.
  • Hardingham TE; Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK.
  • Boot-Handford RP; Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK.
  • Schwartz JM; Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK.
Bioinformatics ; 32(24): 3847-3849, 2016 12 15.
Article em En | MEDLINE | ID: mdl-27559157
ABSTRACT
PhenomeScape is a Cytoscape app which provides easy access to the PhenomeExpress algorithm to interpret gene expression data. PhenomeExpress integrates protein interaction networks with known phenotype to gene associations to find active sub-networks enriched in differentially expressed genes. It also incorporates cross-species phenotypes and associations to include results from animal models of disease. With expression data imported into PhenomeScape, the user can quickly generate and visualise interactive sub-networks. PhenomeScape thus enables researchers to use prior knowledge of a disease to identify differentially regulated sub-networks and to generate an overview of altered biologically processes specific to that disease. AVAILABILITY AND IMPLEMENTATION Freely available for download at https//github.com/soulj/PhenomeScape CONTACT jamie.soul@postgrad.manchester.ac.uk or jean-marc.schwartz@manchester.ac.uk.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenótipo / Software / Mapas de Interação de Proteínas Tipo de estudo: Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenótipo / Software / Mapas de Interação de Proteínas Tipo de estudo: Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Reino Unido