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

  • Published:2020 Issue: Volume:18 Page:993-999
  • ISSN:2001-0370
  • Container-title:Computational and Structural Biotechnology Journal
  • language:en
  • Short-container-title:Computational and Structural Biotechnology Journal

Author:

Damiani Chiara,Rovida Lorenzo,Maspero Davide,Sala Irene,Rosato Luca,Di Filippo Marzia,Pescini Dario,Graudenzi Alex,Antoniotti Marco,Mauri Giancarlo

Funder

Horizon 2020

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference18 articles.

1. The galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update;Afgan;Nucl Acids Res,2016

2. Fame, the flux analysis and modeling environment;Boele;BMC Syst Biol,2012

3. Linking alterations in metabolic fluxes with shifts in metabolite levels by means of kinetic modeling;Damiani,2016

4. popFBA: tackling intratumour heterogeneity with Flux Balance Analysis;Damiani;Bioinformatics,2017

5. Integration of single-cell rna-seq data into metabolic models to characterize tumour cell populations;Damiani;PLOS Computat Biol,2018
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