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DIMet: Differential analysis of Isotope-labeled targeted Metabolomics data

Presentation

DIMet is a bioinformatics pipeline for differential and time-course analysis of targeted isotope-labeled metabolomics data.

DIMet supports the differential analysis of targeted tracer metabolomics data, which is offered in four modes:

• pairwise differential analysis,
• time-course,
• multigroup analysis, or
• entire labeling profiles comparison (bi-variate analysis)

To do so, DIMet accepts three types of measures: a) isotopologues’ quantifications, b) fractional contributions (also known as mean enrichment), c) full metabolites’ abundances.

Moreover, DIMet offers a pathway-based omics integration between Transcriptomics and Isotope-labeled targeted Metabolomics, using Metabolograms.

This Wiki provides instructions and examples for configuring and running DIMet in command line. It assumes that you have already installed DIMet as it is explained in the README.

To use our new DIMet Galaxy, please visit 4 Using DIMet Galaxy

Important

When using DIMet, please cite:

Galvis J, Guyon J, Dartigues B, Hecht H, Grüning B, Specque F, Soueidan H, Karkar S, Daubon T, Nikolski M. DIMet: An open-source tool for Differential analysis of targeted Isotope-labeled Metabolomics data. Bioinformatics 2024; btae282. https://doi.org/10.1093/bioinformatics/btae282

This documentation is divided into the following sections (click on each section name to expand the content):

• 1 Using DIMet in the command line

  • 1.1 Using DIMet

    • 1.1.1 Using DIMet with provided datasets

    • 1.1.2 Available analyses

  • 1.2 Organising your data for the analysis

    • 1.2.1 Data files

    • 1.2.2 Configuration files

• 2 Statistical tests

• 3 Output

• 4 Using DIMet Galaxy

Getting help

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