Course at EMBL-EBI

Introduction to metabolomics analysis

2024

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), processing, and modelling. In addition, they will learn about community standards and sharing in metabolomics, particularly through the use of EMBL-EBI’s MetaboLights repository and Galaxy infrastructure. Participants will learn through hands-on tutorials to use 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). We recommend these free resources or other similar ones:

What will I learn?

Learning outcomes

After the course you should be able to:

  • Perform basic data acquisition, processing, and modelling in metabolomics 
  • Estimate what factors contribute to designing a successful metabolomics study
  • Describe the issues of data standards and sharing in metabolomics
  • Access and use public metabolomics resources 
  • Cite the principles of creating a standardised workflow to perform basic metabolomics analysis
     

Course content

During this course you will learn about: 

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

Trainers

Theodore Alexandrov
EMBL Heidelberg
Elena Chekmeneva
Imperial College London
Gonçalo Correia
Imperial College London
Warwick (Rick) Dunn
University of Liverpool
Melanie Föll
University of Freiburg
Yann Guitton
Oniris, INRAE, Laberca
Matthew Lewis
Bruker Daltonics
Thomas Payne
EMBL-EBI
Krishna Kumar Tiwari
EMBL-EBI
This course has ended

14 – 17 May 2024
European Bioinformatics Institute
United Kingdom
£685.00 - inclusive of three nights accommodation and catering, including dinner
Contact
Meredith Willmott

Organisers

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