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Metabolomics Data Analysis Workshop

Image of the front page of the metabolomics data analysis course


6 and 7 September 2022


0900 - 1700


Course will be held online


Gavin Blackburn and Clement Regnault


The Polyomics Metabolomics Pipeline is a new platform for the analysis of metabolomics data, developed in-house by Polyomics and published in Bioinformatics. This is online course over two days where participants will learn the practical aspects of conducting a metabolomics experiment, from adopting the best study design to performing the processing, analysis and interpretation of the resulting data including statistical analysis using Metaboanalyst and biochemical analysis using KEGG.

It is advised that attendees have two computer monitors so they can follow along with the tutorial in real time.

Intended Learning Outcomes

  1. To investigate the varied possibilities of metabolomics
  2. To learn the principals of data analysis in metabolomics
  3. To become familiar in using the Polyomics Metabolomics Pipeline (PMP)
  4. To appreciate the checks and controls required to design a good metabolomics extraction protocol
  5. Statistical concepts in metabolomics
  6. To gain an understanding of what evidence is required to identify a metabolite in metabolomics
  7. To understand how to use prior knowledge in your system as well as biochemistry to interpret your data set

Course fee


Cancellation policy

A refund will be issued if a booking is cancelled more than one week prior to the workshop.

Target group

This course is aimed at staff and students who wish to deepen their practical understanding of metabolomics experiment design and data processing.

It is anticipated that you have an understanding of the applications and uses of chromatography and mass spectrometry and that you are working on metabolomics and/or already have a data set of your own (though for practical reasons you will not be able to use this in the workshop).

By the end of the course, you should be comfortable processing metabolomics raw data and can begin to work on your own data sets.

Local Organiser

Rachael Munro, Glasgow Polyomics

Registration and enquiries

Click to book. Please provide a budget centre or PO number for the course fee.