Workflow4Metabolomics (W4M): A User-Friendly Metabolomics Platform for Analysis of Mass Spectrometry and Nuclear Magnetic Resonance Data

Investor logo

Warning

This publication doesn't include Faculty of Education. It includes Faculty of Science. Official publication website can be found on muni.cz.
Authors

DELPORTE Cedric TREMBLAY-FRANCO Marie GUITTON Yann CANLET Cecile WEBER Ralf J. M. HECHT Helge PRICE Elliott James KLÁNOVÁ Jana JOLY Charlotte DALLE Celine ST-VANNE Julien THEVENOT Etienne SCHMITZ Isabelle CHEREAU Sylvain DECHAUMET Sylvain DIEME Binta GIACOMONI Franck LE CORGUILLE Gildas PETERA Melanie SOUARD Florence

Year of publication 2025
Type Article in Periodical
Magazine / Source Current Protocols
MU Faculty or unit

Faculty of Science

Citation
web https://currentprotocols.onlinelibrary.wiley.com/doi/epdf/10.1002/cpz1.70095
Doi http://dx.doi.org/10.1002/cpz1.70095
Keywords annotation; chemometrics; GC-MS; LC-MS; NMR; statistics; untargeted metabolomics
Description Various spectrometric methods can be used to conduct metabolomics studies. Nuclear magnetic resonance (NMR) or mass spectrometry (MS) coupled with separation methods, such as liquid or gas chromatography (LC and GC, respectively), are the most commonly used techniques. Once the raw data have been obtained, the real challenge lies in the bioinformatics required to conduct: (i) data processing (including preprocessing, normalization, and quality control); (ii) statistical analysis for comparative studies (such as univariate and multivariate analyses, including PCA or PLS-DA/OPLS-DA); (iii) annotation of the metabolites of interest; and (iv) interpretation of the relationships between key metabolites and the relevant phenotypes or scientific questions to be addressed. Here, we will introduce and detail a stepwise protocol for use of the Workflow4Metabolomics platform (W4M), which provides user-friendly access to workflows for processing of LC-MS, GC-MS, and NMR data. Those modular and extensible workflows are composed of existing standalone components (e.g., XCMS and CAMERA packages) as well as a suite of complementary W4M-implemented modules. This tool suite is accessible worldwide through a web interface and is hosted on UseGalaxy France. The extensible Virtual Research Environment (VRE) provided offers pre-configured workflows for metabolomics communities (platforms, end users, etc.), as well as possibilities for sharing among users. By providing a consistent ecosystem of tools and workflows through Galaxy, W4M makes it possible to process MS and NMR data from hundreds of samples using an ordinary personal computer, after step-by-step workflow optimization. (c) 2025 Wiley Periodicals LLC.Basic Protocol 1: W4M account creation, working history preparation, and data uploadSupport Protocol 1: How to prepare an NMR zip fileSupport Protocol 2: How to convert MS data from proprietary format to open formatSupport Protocol 3: How to get help with W4M (IFB forum) and how to report a problem on the GitHub repositoryBasic Protocol 2: LC-MS data processingAlternate Protocol 1: GC-MS data processingAlternate Protocol 2: NMR data processingBasic Protocol 3: Statistical analysisBasic Protocol 4: Annotation of metabolites from LC-MS dataAlternate Protocol 3: Annotation of metabolites from NMR data
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.