metabolomics

Tutorials covering metabolomics

Material

You can view the tutorial materials in different languages by clicking the dropdown icon next to the slides () and tutorial () buttons below.

Metabolomics

Lesson Slides Hands-on Recordings Input dataset Workflows
Introduction to Metabolomics
Mass spectrometry imaging: Examining the spatial distribution of analytes
metabolomics mass spectrometry imaging imaging
Mass spectrometry imaging: Examining the spatial distribution of analytes
metabolomics mass spectrometry imaging imaging
Mass spectrometry imaging: Finding differential analytes
metabolomics mass spectrometry imaging imaging
Mass spectrometry imaging: Finding differential analytes
metabolomics mass spectrometry imaging imaging
Mass spectrometry: GC-MS analysis with the metaMS package
metabolomics exposomics gc-ms
Mass spectrometry: GC-MS analysis with the metaMS package
metabolomics exposomics gc-ms
Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms)
metabolomics exposomics gc-ms
Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms)
metabolomics exposomics gc-ms
Mass spectrometry: LC-MS analysis
metabolomics lc-ms
Mass spectrometry: LC-MS analysis
metabolomics lc-ms
Mass spectrometry: LC-MS data processing
metabolomics lc-ms
Mass spectrometry: LC-MS data processing
metabolomics lc-ms
Mass spectrometry: LC-MS preprocessing with XCMS
metabolomics lc-ms
Mass spectrometry: LC-MS preprocessing with XCMS
metabolomics lc-ms
Molecular formula assignment and mass recalibration with MFAssignR package
metabolomics exposomics lc-ms gc-ms
Molecular formula assignment and mass recalibration with MFAssignR package
metabolomics exposomics lc-ms gc-ms
Predicting EI+ mass spectra with QCxMS
metabolomics exposomics gc-ms computational-chemistry quantum-chemistry
Predicting EI+ mass spectra with QCxMS
metabolomics exposomics gc-ms computational-chemistry quantum-chemistry

Proteomics

Lesson Slides Hands-on Recordings Input dataset Workflows
Multiomics data analysis using MultiGSEA
multi-omics transcriptomics proteomics metabolomics

Contributors

This material was contributed to by:

Cécile Canlet avatar Cécile Canletorcid logoHelena Rasche avatar Helena Rascheorcid logoMatej Troják avatar Matej TrojákMaren Stillger avatar Maren Stillgerorcid logoYann Guitton avatar Yann Guittonorcid logoMaxim Skoryk avatar Maxim SkorykWorkflow4Metabolomics core team avatar Workflow4Metabolomics core teamorcid logoMelanie Föll avatar Melanie FöllJean-François Martin avatar Jean-François Martinorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoHelge Hecht avatar Helge Hechtorcid logoPavankumar Videm avatar Pavankumar VidemGildas Le Corguillé avatar Gildas Le Corguilléorcid logoBjörn Grüning avatar Björn GrüningSimeon Schum avatar Simeon Schumorcid logoKristina Gomoryova avatar Kristina Gomoryovaorcid logoJulia Jakiela avatar Julia Jakielaorcid logoBérénice Batut avatar Bérénice BatutSimon Bray avatar Simon Brayorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoMatthias Bernt avatar Matthias BerntJulien Saint-Vanne avatar Julien Saint-VanneThorben Stehling avatar Thorben StehlingMélanie Petera avatar Mélanie Petera

Funding

These individuals or organisations provided funding support for the development of this resource

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UFR
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MetaboHUB
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RFMF
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ELIXIR Europe