Training materials
Target audience: Students
and Keywords: computer-science or Python or metabolomics or FAIR data
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hands-on tutorial
Hands-on for 'Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms)' tutorial
•• intermediateMetabolomics metabolomics -
hands-on tutorial
Hands-on for 'SQL with Python' tutorial
•• intermediateSoftware engineering data-science SQL Python jupyter-notebook -
hands-on tutorial
Hands-on for 'Mass spectrometry: LC-MS preprocessing with XCMS' tutorial
•• intermediateMetabolomics metabolomics -
hands-on tutorial
Hands-on for 'Mass spectrometry imaging: Finding differential analytes' tutorial
•• intermediateMetabolomics metabolomics -
hands-on tutorial
Hands-on for 'Mass spectrometry: LC-MS analysis' tutorial
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hands-on tutorial
Hands-on for 'Mass spectrometry : GC-MS analysis with metaMS package' tutorial
• beginnerMetabolomics metabolomics -
hands-on tutorial
Hands-on for 'Mass spectrometry: LC-MS data processing' tutorial
• beginnerMetabolomics metabolomics -
hands-on tutorial
Hands-on for 'Mass spectrometry imaging: Examining the spatial distribution of analytes' tutorial
• beginnerMetabolomics metabolomics