Metabolomics Data Processing and Data Analysis

Life and Environmental Sciences
Monday 21st October (00:00) - Friday 15th November 2019 (23:59)
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Metabolomics Data Processing and Data Analysis

Register for the next course run: 21 October 2019 - 15 November 2019

Course Overview

This online course explores the tools and approaches that are used to process and analyse metabolomics data. You will investigate the challenges that are typically encountered in the analysis of metabolomics data, and provide solutions to overcome these problems. The course is delivered using a combination of short videos, articles, discussions, and online workshops with step-by-step instructions and test data sets. We provide quizzes, polls and peer review exercises each week, so that you can review your learning throughout the course.

The material is delivered over a four week period, with an estimated learning time of four hours per week. We support your learning via social discussions where you will be able post questions and comments to the team of educators and the other learners on the course. In the final week of the course there is a live question and answer session with the entire team of educators. If you do not have time to complete the course during the 4-week period you will retain access to the course material to revisit, as you are able.

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Topics Covered

  • An introduction to metabolomics
  • An overview of the untargeted metabolomics workflow
  • The influence of experimental design and data acquisition on data analysis and data quality
  • Processing of NMR data
  • Processing direct infusion mass spectrometry data
  • Processing liquid chromatography-mass spectrometry data
  • Reporting standards and data repositories
  • Data analysis, detecting outliers and drift, and pre-treatment methods
  • Univariate data analysis
  • Multivariate data analysis (including unsupervised and supervised approaches)
  • The importance of statistical validation of results
  • Computational approaches for metabolite identification and translation of results into biological knowledge
  • What are the future challenges for data processing and analysis in metabolomics

Preview the full course programme here



The course would be ideally suited to MSc / PhD students or scientists who are in the early stages of analysing metabolomics data. No previous knowledge of the data processing and statistical analysis approaches is assumed, but a basic understanding of the metabolome, and the analytical techniques applied in the metabolomics field would be beneficial. A pre-course recommended reading list will be provided.

 Course Access

Course Platform Information

Joining the Course

  • This course is hosted in online learning environment FutureLearn
  • We will need to share your email with FutureLearn in order to register you for this course
  • After registering via our online shop, you will receive an email with a course link to join. If you do not received this email within a week of your registration, please contact us:

Course Information

  • Registration is open until the last day of the course run at 5pm, London UK time
  • After registration closes, we are unable to issue invitations to delegates to join the course
  • Course materials and discussion boards will be maintained and monitored by Educators until the end of the course run
  • As BMTC Alumni, you are able to email us at any time (even after the course finishes) to discuss any problems / issues you are having with your metabolomics investigations:


Early-bird Registration


Register now this rate

Rate expires: 4 October 2019



Standard Registration


Rate pending

Rate expires: 15 November 2019



Please read the Birmingham Metabolomics Training Centre's Conditions and Cancellation Policy prior to registering.