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NetworkTrail--a web service for identifying and visualizing deregulated subnetworks.
Stöckel, Daniel; Müller, Oliver; Kehl, Tim; Gerasch, Andreas; Backes, Christina; Rurainski, Alexander; Keller, Andreas; Kaufmann, Michael; Lenhof, Hans-Peter.
Afiliação
  • Stöckel D; Center for Bioinformatics, Saarland University, 66041 Saarbrücken, Germany. dstoeckel@bioinf.uni-sb.de
Bioinformatics ; 29(13): 1702-3, 2013 Jul 01.
Article em En | MEDLINE | ID: mdl-23625999
ABSTRACT
UNLABELLED The deregulation of biochemical pathways plays a central role in many diseases like cancer or Parkinsons's disease. In silico tools for calculating these deregulated pathways may help to gain new insights into pathogenic mechanisms and may open novel avenues for therapy stratification in the sense of personalized medicine. Here, we present NetworkTrail, a web service for the detection of deregulated pathways and subgraphs in biological networks. NetworkTrail uses a state-of-the-art integer linear programming-based approach for this task and offers interfaces to the Biological Network Analyzer (BiNA) and Cytoscape Web for visualizing the resulting subnetworks. By providing an accessible interface to otherwise hard-to-use command line tools, the new web service enables non-experts to quickly and reliably carry out this type of network analyses. AVAILABILITY AND IMPLEMENTATION NetworkTrail is a JavaServer Pages-based web service. The algorithm for finding deregulated subnetworks has been implemented in C++. NetworkTrail is available at http//networktrail.bioinf.uni-sb.de/.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Perfilação da Expressão Gênica Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2013 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Perfilação da Expressão Gênica Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2013 Tipo de documento: Article País de afiliação: Alemanha