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DIMet is a bioinformatics pipeline for differential and time-course analysis of targeted isotope-labeled metabolomics data.
DIMet functionalities (Galvis J., et al. Bioinformatics, 2024). DIMet's automatic metabologram (right) can be projected onto a network using external tools such as Inkscape.
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
Note: Regarding the input formats and normalizations, visit our complementary tool TraceGroomer (https://github.com/cbib/TraceGroomer/wiki). TraceGroomer is also available in 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):
