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Computational Methods to Investigate the Impact of miRNAs on Pathways.
Alaimo, Salvatore; Micale, Giovanni; La Ferlita, Alessandro; Ferro, Alfredo; Pulvirenti, Alfredo.
Afiliação
  • Alaimo S; Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
  • Micale G; Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
  • La Ferlita A; Department of Physics and Astronomy, University of Catania, Catania, Italy.
  • Ferro A; Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
  • Pulvirenti A; Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy. apulvirenti@dmi.unict.it.
Methods Mol Biol ; 1970: 183-209, 2019.
Article em En | MEDLINE | ID: mdl-30963494
Pathway analysis is a wide class of methods allowing to determine the alteration of functional processes in complex diseases. However, biological pathways are still partial, and knowledge coming from posttranscriptional regulators has started to be considered in a systematic way only recently. Here we will give a global and updated view of the main pathway and subpathway analysis methodologies, focusing on the improvements obtained through the recent introduction of microRNAs as regulatory elements in these frameworks.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Transdução de Sinais / Biologia Computacional / Perfilação da Expressão Gênica / MicroRNAs / Redes Reguladoras de Genes Limite: Humans Idioma: En Revista: Methods Mol Biol Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Transdução de Sinais / Biologia Computacional / Perfilação da Expressão Gênica / MicroRNAs / Redes Reguladoras de Genes Limite: Humans Idioma: En Revista: Methods Mol Biol Ano de publicação: 2019 Tipo de documento: Article