hands-on tutorial

Hands-on for 'Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms)' tutorial

The questions this addresses are:
- What are the main steps of gas chromatography-mass spectrometry (GC-MS) data processing for metabolomic analysis?
- What similarity metrics can be used to compare a pair of mass spectra and what are the differences between them?
- Do you know any alternative tools that can be used in place of the individual steps of this workflow?

The objectives are:
- To learn about the key steps in the preprocessing and analysis of untargeted GC-MS metabolomics data.
- To explore what open-source alternative tools can be used in the analysis of GC-MS data, learn about their possible parametrisations.
- To analyse authentic data samples and compare them with a data library of human metabolome, composed from a collection of mostly endogenous compounds.

Licence: Creative Commons Attribution 4.0 International

Keywords: metabolomics

Target audience: Students

Resource type: hands-on tutorial

Authors: Helge Hecht, Matej Troják, Maxim Skoryk

Scientific topics: Metabolomics


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