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

Autor: Martín Garrido-Rodriguez, Daniel Lopez-Lopez, Francisco M Ortuno, María Peña-Chilet, Eduardo Muñoz, Marco A Calzado, Joaquin Dopazo
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: PLoS Computational Biology, Vol 17, Iss 2, p e1008748 (2021)
Druh dokumentu: article
ISSN: 1553-734X
1553-7358
DOI: 10.1371/journal.pcbi.1008748
Popis: 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.
Databáze: Directory of Open Access Journals
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