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A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways.
Garrido-Rodriguez, Martín; Lopez-Lopez, Daniel; Ortuno, Francisco M; Peña-Chilet, María; Muñoz, Eduardo; Calzado, Marco A; Dopazo, Joaquin.
Afiliação
  • Garrido-Rodriguez M; Clinical Bioinformatics Area, Fundación Progreso y Salud (FPS), Hospital Virgen del Rocío, Sevilla, Spain.
  • Lopez-Lopez D; Departamento de Biología Celular, Fisiología e Inmunología, Universidad de Córdoba, Córdoba, Spain.
  • Ortuno FM; Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.
  • Peña-Chilet M; Hospital Universitario Reina Sofía, Córdoba, Spain.
  • Muñoz E; Clinical Bioinformatics Area, Fundación Progreso y Salud (FPS), Hospital Virgen del Rocío, Sevilla, Spain.
  • Calzado MA; Computational Systems Medicine, Institute of Biomedicine of Seville (IBIS), Sevilla, Spain.
  • Dopazo J; Clinical Bioinformatics Area, Fundación Progreso y Salud (FPS), Hospital Virgen del Rocío, Sevilla, Spain.
PLoS Comput Biol ; 17(2): e1008748, 2021 02.
Article em En | MEDLINE | ID: mdl-33571195
ABSTRACT
MIGNON is a workflow for the analysis of RNA-Seq experiments, which not only efficiently manages the estimation of gene expression levels from raw sequencing reads, but also calls genomic variants present in the transcripts analyzed. Moreover, this is the first workflow that provides a framework for the integration of transcriptomic and genomic data based on a mechanistic model of signaling pathway activities that allows a detailed biological interpretation of the results, including a comprehensive functional profiling of cell activity. MIGNON covers the whole process, from reads to signaling circuit activity estimations, using state-of-the-art tools, it is easy to use and it is deployable in different computational environments, allowing an optimized use of the resources available.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transdução de Sinais / Biologia Computacional / Genômica / RNA-Seq Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transdução de Sinais / Biologia Computacional / Genômica / RNA-Seq Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article