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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2020
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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. |
format | Online Article Text |
id | pubmed-7191582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
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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