Workflow4Metabolomics

The software tool Workflow4Metabolomics (W4M) is an open-source and collaborative online platform for computational metabolomics that allows for the integration, exchange, and running of individual modules and workflows. It is built upon the Galaxy web-based platform technology and provides an ergonomic environment for the evaluation and chaining of algorithms for data pre-processing, statistical analysis, and annotation. W4M is available for use through its homepage, and can also be downloaded as a virtual machine for local installation.

Topic

Systems biology;Metabolomics;Computational biology

Detail

  • Operation: Spectral analysis

  • Software interface: Web user interface

  • Language: R

  • License: GNU General Public License v3.0

  • Cost: Free

  • Version name: -

  • Credit: Biogenouest®, Lifegrid (Auvergne), the IDEALG project, IFB and MetaboHUB grants.

  • Input: -

  • Output: -

  • Contact: https://workflow4metabolomics.org/people

  • Collection: -

  • Maturity: -

Publications

  • Create, run, share, publish, and reference your LC-MS, FIA-MS, GC-MS, and NMR data analysis workflows with the Workflow4Metabolomics 3.0 Galaxy online infrastructure for metabolomics.
  • Guitton Y, et al. Create, run, share, publish, and reference your LC-MS, FIA-MS, GC-MS, and NMR data analysis workflows with the Workflow4Metabolomics 3.0 Galaxy online infrastructure for metabolomics. Create, run, share, publish, and reference your LC-MS, FIA-MS, GC-MS, and NMR data analysis workflows with the Workflow4Metabolomics 3.0 Galaxy online infrastructure for metabolomics. 2017; 93:89-101. doi: 10.1016/j.biocel.2017.07.002
  • https://doi.org/10.1016/j.biocel.2017.07.002
  • PMID: 28710041
  • PMC: -
  • Workflow4Metabolomics: a collaborative research infrastructure for computational metabolomics.
  • Giacomoni F, et al. Workflow4Metabolomics: a collaborative research infrastructure for computational metabolomics. Workflow4Metabolomics: a collaborative research infrastructure for computational metabolomics. 2015; 31:1493-5. doi: 10.1093/bioinformatics/btu813
  • https://doi.org/10.1093/bioinformatics/btu813
  • PMID: 25527831
  • PMC: PMC4410648

Download and documentation

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