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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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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. |
format | Online Article Text |
id | pubmed-7904194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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