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De Novo Pathway Enrichment with KeyPathwayMiner.
Alcaraz, Nicolas; Hartebrodt, Anne; List, Markus.
Afiliação
  • Alcaraz N; Department of Biology, The Bioinformatics Centre, University of Copenhagen, Copenhagen, Denmark.
  • Hartebrodt A; TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
  • List M; TUM School of Life Sciences, Technical University of Munich, Freising, Germany. markus.list@wzw.tum.de.
Methods Mol Biol ; 2074: 181-199, 2020.
Article em En | MEDLINE | ID: mdl-31583639
Biomolecular networks such as protein-protein interaction networks provide a static picture of the interplay of genes and their products, and, consequently, they fail to capture dynamic changes taking place during the development of complex diseases. KeyPathwayMiner is a software platform designed to fill this gap by integrating previous knowledge captured in molecular interaction networks with OMICS datasets (DNA microarrays, RNA sequencing, genome-wide methylation studies, etc.) to extract connected subnetworks with a high number of deregulated genes. This protocol describes how to use KeyPathwayMiner for integrated analysis of multi-omics datasets in the network analysis tool Cytoscape and in a stand-alone web application available at https://keypathwayminer.compbio.sdu.dk .
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional Limite: Animals / Humans Idioma: En Revista: Methods Mol Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Dinamarca

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional Limite: Animals / Humans Idioma: En Revista: Methods Mol Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Dinamarca