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@odisce

Odiscé

Data Science team

Welcome to the public repository for the Odisce team, providing a comprehensive suite of packages for (metabol)omics data processing and analysis.

Detailed tutorials about this workflow can be found e.g. in the vignettes of the phenomis, ropls, and biosigner packages.

Feel free to contact us for any question.

Package Description Reference
Preprocessing
proFIA Preprocessing of FIA-HRMS data Delabrière et al. (2017). Bioinformatics
ptairMS Pre-processing PTR-TOF-MS Data Roquencourt et al. (2022). Bioinformatics
Spec2Xtract Pre-processing of MS/MS raw spectra Dechaumet et al.
Post-processing
phenomis Post-processing and univariate analysis of MS data Imbert et al. (2021) Sci. Data.
Statistics
ropls PCA, PLS(-DA) and OPLS(-DA) for multivariate analysis and feature selection of omics data Thévenot et al. (2015). J. Proteome Res.
biosigner Signature discovery from omics data Rinaudo et al. (2016). Front. Mol. Biosci.
ProMetIS Multi-omics phenotyping of the LAT and MX2 knockout mice Imbert et al. (2021) Sci. Data.
Annotation
Spec2Annot Annotation of MS/MS spectra Dechaumet et al.
biodb A library and a development framework for connecting to chemical and biological databases Roger et al.

Popular repositories

  1. phenomis phenomis Public

    Postprocessing and univariate analysis of omics data

    R 1 1

  2. Spec2Xtract Spec2Xtract Public

    R package used to extract mass spectra

    R 1

  3. Spec2Annot Spec2Annot Public

    R package used to annotate mass spectra

    R 1

  4. odisce.github.io odisce.github.io Public

    HTML

  5. .github .github Public

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