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A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways

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...

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Detalles Bibliográficos
Autores principales: Garrido-Rodriguez, Martín, Lopez-Lopez, Daniel, Ortuno, Francisco M., Peña-Chilet, María, Muñoz, Eduardo, Calzado, Marco A., Dopazo, Joaquin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904194/
https://www.ncbi.nlm.nih.gov/pubmed/33571195
http://dx.doi.org/10.1371/journal.pcbi.1008748
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author Garrido-Rodriguez, Martín
Lopez-Lopez, Daniel
Ortuno, Francisco M.
Peña-Chilet, María
Muñoz, Eduardo
Calzado, Marco A.
Dopazo, Joaquin
author_facet Garrido-Rodriguez, Martín
Lopez-Lopez, Daniel
Ortuno, Francisco M.
Peña-Chilet, María
Muñoz, Eduardo
Calzado, Marco A.
Dopazo, Joaquin
author_sort Garrido-Rodriguez, Martín
collection PubMed
description 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.
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spelling pubmed-79041942021-03-02 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 PLoS Comput Biol Research Article 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. Public Library of Science 2021-02-11 /pmc/articles/PMC7904194/ /pubmed/33571195 http://dx.doi.org/10.1371/journal.pcbi.1008748 Text en © 2021 Garrido-Rodriguez et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Garrido-Rodriguez, Martín
Lopez-Lopez, Daniel
Ortuno, Francisco M.
Peña-Chilet, María
Muñoz, Eduardo
Calzado, Marco A.
Dopazo, Joaquin
A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways
title A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways
title_full A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways
title_fullStr A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways
title_full_unstemmed A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways
title_short A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways
title_sort versatile workflow to integrate rna-seq genomic and transcriptomic data into mechanistic models of signaling pathways
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904194/
https://www.ncbi.nlm.nih.gov/pubmed/33571195
http://dx.doi.org/10.1371/journal.pcbi.1008748
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