Introduction to Metabolomics Analysis

Date:

 Tuesday 20 Friday 23 March 2018

Venue: 

European Bioinformatics Institute (EMBL-EBI) - Wellcome Genome Campus, Hinxton, Cambridge,  CB10 1SD, United Kingdom

Application opens: 

Monday September 18 2017

Application deadline: 

Friday January 12 2018

Participation: 

Open application with selection

Contact: 

Emily Rees

Registration fee: 

£300

Overview

This course will provide an introduction to metabolomics data analysis using publicly available software and tools. Participants will become familiar with the current state of data sharing and data standards in metabolomics, particularly through using the EMBL-EBI’s MetaboLights repository. There will be a large practical component, where participants will learn through hands-on tutorials on data submission, and using a workflow-based approach and compute infrastructure for data analysis, under the guidance of the lecturers and teaching assistants.

Audience

This course is aimed at researchers who are new to the field of metabolomics and wish to learn the basics. Perhaps you normally work in a different field and have had the opportunity to send off some samples for metabolite profiling but are unsure about how to process your results – this course is for you. Due to the limited time available on the course, we will primarily focus on a basic introduction to metabolomics with a worked example using LC-MS data. The course assumes little prior knowledge of using bioinformatics tools.

Syllabus, tools and resources

During this course you will learn about:

  • Basic metabolomics
  • Study design for metabolomics
  • Metabolomics resources: MetaboLights, Phenomenal, MetaboFlow

Outcomes

After this course you should be able to:

  • Discuss basic analytical methods in metabolomics, and factors that contribute to designing a successful metabolomics study
  • Use standardized workflows to perform basic metabolomics analysis
  • Use of and submission to metabolomics databases
  • Evaluate the issues of data sharing and data standards in metabolomics and best practice

Programme

A full programme is not yet available. The course will cover the following major themes:

-       Introduction to metabolomics

-       Data sharing and analysis

-       Experimental design

-       Workflows and analysis