Hands-on Data Analysis for Metabolomics, 15 – 19 June 2026, Imperial College, London

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Join the 5-day course covering data analysis for metabolic profiling studies using NMR spectroscopy and liquid chromatography-mass spectrometry. Lectures and hands-on tutorials with open-source software provide both theoretical background and practical experience. A great course for early-career researchers as well as experienced scientists!

Check the course shedule here: Schedule | Administration and support services | Imperial College London Want to join? Register HERE

By the end of the course you will be able to:

  • Describe the main ideas and concepts underlying untargeted metabolomics
  • Outline the characteristics of NMR & LCMS metabolomic data, and how these influence data analysis
  • Process both NMR and LCMS metabolomic data, ensuring high quality and reproducibility
  • Discuss the concepts, strengths and weaknesses of multivariate statistical techniques such as PCA and OPLS as applied to metabolomics data
  • Summarise the main data-driven techniques helping to identify unknown metabolites
  • Explain the main ideas behind pathway analysis with metabolite data
  • Apply all these tools to your own data with confidence and understanding

Learning and teaching methods

The course consists of:

  • Lectures covering the computational metabolomics techniques
  • Hands-on practical sessions analysing example data sets
  • Discussion and Q&A sessions addressing key data analysis topics