These materials were part of the ‘Introduction to Metabolomics analysis’ 2026 course. Please refer to the course pages to check details about the live event and the original programme.

The contents table below outlines the different sessions that were included in the course, as well as the format of the materials (slides/videos/practicals) and each session’s trainer. Either proceed through the materials using the arrows at the end of each page or pick your topic of interest from the table below to skip straight to it.

 Presentation slides –  View or download the slides

 Recorded lectures – Watch the lecture videos 

 Practicals – View or download the slides, exercises, datasets, analysis scripts and results

Format	Subject	Trainer
	Introduction to Metabolomics	Noemi Tejera Hernandez
	Experimental design and quality control in metabolomics (2025 version)	Lorraine Brennan
	Introduction to LC-MS platforms, data types and quality assessment of data	Warwick Dunn
	Galaxy in Metabolomics	Melanie Föll and Yann Guitton
	Data Reuse	Juan Antonio Vizcaino
	Keynote talk – Lipidomics	Nils Hoffmann
	Methods and resources
	Statistical analysis (Data modelling)	Goncalo Correia
	Metabolite Identification	Elena Chekmeneva
	MS data processing in mzmine	Steffen Heuckeroth
	Data pre-processing: lecture & practical (XCMS)	Ibrahim Karaman
	Functional analyses for biological interpretation: lecture and practical	Christina Schmidt and Denes Turei
	MetaboLights data and workflows: lecture and tutorial	Thomas Payne, Noemi Tejera Hernandez and Ozgur Yurekten
	Pathways with Reactome (2024 version)	Krishna Kumar Tiwari
	Spatial single-cell metabolomics (2024 version)	Theodore Alexandrov
	Other Metabolomics materials
	LC/GC-MS: Data acquisition and Data processing (MS1 and MSn) (2023 version)	Marynka Ulaszewska
	WikiPathways (2023 version)	Egon Willighagen