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Technological developments and opportunities with Workflow4Metabolomics

Florence Souard
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Cédric Delporte
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Background Metabolomics data analysis is a complex and multistep process, which is constantly evolving with the development of new analytical technologies, mathematical methods, bioinformatics tools and databases. By a common effort from several institutional structures as MetaboHUB (French national infrastructure) and the IFB (French ELIXIR node), Workflow4Metabolomics (W4M) endeavours to break through the barriers that are obstructing data analysis practices in this field. Technological and methodological innovation Workflow4Metabolomics provides free open-source Galaxy-based workflow possibilities for MS- and NMR-based data analysis as well as training contents, to help the community getting access to advanced tools and data analysis knowledge. W4M latest updates include the integration of a new tool suit for GC-MS data analysis in its supported host, provided by RECETOX, Masaryk University (Czech EIRENE node). New training resources through the Galaxy Training Network (GTN) are also proposed, and Training Infrastructure as a Service (TIass) is now available at Results and impact By gathering a large variety of tools with standardised input/outputs, W4M’s portal increases LC/GC-MS(MS) and NMR workflows’ efficiency. We highlight how current advances, along with community training as through the yearly international school Workflow4Experimenters, contribute to comprehensive open data analysis practices worldwide.
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hal-04185176 , version 1 (22-08-2023)


  • HAL Id : hal-04185176 , version 1


Mélanie Pétéra, Yann Guitton, Charlotte Joly, Florence Souard, Etienne A Thévenot, et al.. Technological developments and opportunities with Workflow4Metabolomics. ISMB/ECCB 2023: The 31st Annual Intelligent Systems For Molecular Biology and the 22nd Annual European Conference on Computational Biology, Jul 2023, Lyon, France. ⟨hal-04185176⟩
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