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

Articolo
Data di Pubblicazione:
2020
Abstract:
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Galaxy; Metabolism; RNA-seq; Sample stratification; TCGA
Elenco autori:
Graudenzi, Alex
Autori di Ateneo:
GRAUDENZI ALEX
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/383690
Pubblicato in:
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
Journal
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