Course at EMBL-EBI

Introduction to metabolomics analysis

2026

This course will provide an introduction to metabolomics through lectures and hands-on sessions, using publicly available data, software, and tools. Participants will become familiar with standardised workflows as well as with the current state of experimental design, data acquisition (LC-MS, MS imaging), data processing and compound annotation, and modelling. In addition, they will learn about community standards and open data practices in metabolomics, particularly through the use of EMBL-EBI’s MetaboLights repository and Galaxy infrastructure. Participants will learn through hands-on tutorials how to use the tools available for data analysis and data submission. Additionally, case studies will be discussed to show how to employ the week’s learning.

Who is this course for?

This course is aimed at researchers who are new to the field of metabolomics and wish to learn about the process of conducting a metabolomics study. The course will benefit those who are planning to integrate metabolomics into their work, either moving into the field or as an investigator from other -omics. We will primarily focus on a basic introduction to metabolomics with worked examples using a predesigned LC-MS analysis workflow. Basic knowledge of programming languages can be an advantage (e.g. you understand the basic command line functioning, you can navigate Galaxy tutorials).

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What will I learn?

Learning outcomes

After the course, you should be able to:

  • Perform basic data processing, compound annotation, and modelling in metabolomics
  • Estimate what factors contribute to designing a successful metabolomics study
  • Describe the state-of-the-art in open science practices in metabolomics
  • Access and use public metabolomics resources
  • Cite the principles of creating a standardised workflow to perform metabolomics analysis

Course content

During this course, you will learn about: 

  • Basic metabolomics experimental design, acquisition, and analysis
  • Public metabolomics resources: Galaxy and MetaboLights
  • Open source metabolomics tools made available through customisable workflows
  • Case study based on a published/public example

Trainers

Elena Chekmeneva
Imperial College London
Thomas Payne
EMBL-EBI
Applications close
11 January 2026

27 April - 01 May 2026
European Bioinformatics Institute
United Kingdom
£925.00 academia / £1,225.00 industry
Contact
Juanita Riveros
Open application with selection
30 places

Organisers

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