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MaREA4Galaxy: Metabolic reaction enrichment analysis and visualization of RNA-seq data within Galaxy

We present MaREA4Galaxy, a user-friendly tool that allows a user to characterize and to graphically compare groups of samples with different transcriptional regulation of metabolism, as estimated from cross-sectional RNA-seq data. The tool is available as plug-in for the widely-used Galaxy platform...

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Autores principales: Damiani, Chiara, Rovida, Lorenzo, Maspero, Davide, Sala, Irene, Rosato, Luca, Di Filippo, Marzia, Pescini, Dario, Graudenzi, Alex, Antoniotti, Marco, Mauri, Giancarlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191582/
https://www.ncbi.nlm.nih.gov/pubmed/32373287
http://dx.doi.org/10.1016/j.csbj.2020.04.008
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author Damiani, Chiara
Rovida, Lorenzo
Maspero, Davide
Sala, Irene
Rosato, Luca
Di Filippo, Marzia
Pescini, Dario
Graudenzi, Alex
Antoniotti, Marco
Mauri, Giancarlo
author_facet Damiani, Chiara
Rovida, Lorenzo
Maspero, Davide
Sala, Irene
Rosato, Luca
Di Filippo, Marzia
Pescini, Dario
Graudenzi, Alex
Antoniotti, Marco
Mauri, Giancarlo
author_sort Damiani, Chiara
collection PubMed
description We present MaREA4Galaxy, a user-friendly tool that allows a user to characterize and to graphically compare groups of samples with different transcriptional regulation of metabolism, as estimated from cross-sectional RNA-seq data. The tool is available as plug-in for the widely-used Galaxy platform for comparative genomics and bioinformatics analyses. MaREA4Galaxy combines three modules. The Expression2RAS module, which, for each reaction of a specified set, computes a Reaction Activity Score (RAS) as a function of the expression level of genes encoding for the associated enzyme. The MaREA (Metabolic Reaction Enrichment Analysis) module that allows to highlight significant differences in reaction activities between specified groups of samples. The Clustering module which employs the RAS computed before as a metric for unsupervised clustering of samples into distinct metabolic subgroups; the Clustering tool provides different clustering techniques and implements standard methods to evaluate the goodness of the results.
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spelling pubmed-71915822020-05-05 MaREA4Galaxy: Metabolic reaction enrichment analysis and visualization of RNA-seq data within Galaxy Damiani, Chiara Rovida, Lorenzo Maspero, Davide Sala, Irene Rosato, Luca Di Filippo, Marzia Pescini, Dario Graudenzi, Alex Antoniotti, Marco Mauri, Giancarlo Comput Struct Biotechnol J Research Article We present MaREA4Galaxy, a user-friendly tool that allows a user to characterize and to graphically compare groups of samples with different transcriptional regulation of metabolism, as estimated from cross-sectional RNA-seq data. The tool is available as plug-in for the widely-used Galaxy platform for comparative genomics and bioinformatics analyses. MaREA4Galaxy combines three modules. The Expression2RAS module, which, for each reaction of a specified set, computes a Reaction Activity Score (RAS) as a function of the expression level of genes encoding for the associated enzyme. The MaREA (Metabolic Reaction Enrichment Analysis) module that allows to highlight significant differences in reaction activities between specified groups of samples. The Clustering module which employs the RAS computed before as a metric for unsupervised clustering of samples into distinct metabolic subgroups; the Clustering tool provides different clustering techniques and implements standard methods to evaluate the goodness of the results. Research Network of Computational and Structural Biotechnology 2020-04-17 /pmc/articles/PMC7191582/ /pubmed/32373287 http://dx.doi.org/10.1016/j.csbj.2020.04.008 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Damiani, Chiara
Rovida, Lorenzo
Maspero, Davide
Sala, Irene
Rosato, Luca
Di Filippo, Marzia
Pescini, Dario
Graudenzi, Alex
Antoniotti, Marco
Mauri, Giancarlo
MaREA4Galaxy: Metabolic reaction enrichment analysis and visualization of RNA-seq data within Galaxy
title MaREA4Galaxy: Metabolic reaction enrichment analysis and visualization of RNA-seq data within Galaxy
title_full MaREA4Galaxy: Metabolic reaction enrichment analysis and visualization of RNA-seq data within Galaxy
title_fullStr MaREA4Galaxy: Metabolic reaction enrichment analysis and visualization of RNA-seq data within Galaxy
title_full_unstemmed MaREA4Galaxy: Metabolic reaction enrichment analysis and visualization of RNA-seq data within Galaxy
title_short MaREA4Galaxy: Metabolic reaction enrichment analysis and visualization of RNA-seq data within Galaxy
title_sort marea4galaxy: metabolic reaction enrichment analysis and visualization of rna-seq data within galaxy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191582/
https://www.ncbi.nlm.nih.gov/pubmed/32373287
http://dx.doi.org/10.1016/j.csbj.2020.04.008
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