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EMBL-EBI course: Introduction to metabolomics analysis

28 March 2023 10:30 - 31 March 2023 16:00, Hinxton, Cambridge, United Kingdom


Introduction
Course content
Participants will become familiar 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 using the 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 used to discuss and 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. Attendees will gain an understanding of a standardised workflow, from experimental design to data acquisition and analysis. 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. The course assumes little prior knowledge of using bioinformatics tools.

Learning outcomes
After the course you should be able to:
  • Discuss 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 
  • Be familiar with the principles of creating a standardised workflow to perform basic metabolomics analysis

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

Useful links

Speakers
  • Elena Chekmeneva Imperial College London, United Kingdom
  • Melanie Föll University of Freiburg, Germany
  • Yann Guitton MetaboHub, France
  • Thomas Payne EMBL-EBI, United Kingdom
  • Daniel Thomas Lopez EMBL-EBI, United Kingdom
  • Rossana Zaru EMBL-EBI, United Kingdom
  • Gonçalo Correia Imperial College London, United Kingdom

Venue
EMBL-EBI

EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom

Useful links

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