Centre for Research Informatics Training

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Metabolomics data analysis

Event details

Starting Tue 8 Jun 2027
Craik-Marshall (map, venue information)
in-person

Sessions

  • 8 June 2027 — 09:30 to 17:30 — Craik-Marshall
  • 9 June 2027 — 09:30 to 17:30 — Craik-Marshall

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About the course

Metabolomics aims to identify and quantify the complete biochemical composition of a biological sample. As genomic, transcriptomic, and proteomic datasets continue to expand, there is an increasing need to understand the metabolic phenotypes that genes and proteins ultimately influence.

This course provides an introductory overview of metabolomics and its applications in life sciences and environmental research. Participants will be introduced to different techniques used to extract metabolites and analyse samples to generate metabolomics data, including high-performance liquid chromatography (HPLC), gas chromatography-mass spectrometry (GC-MS), and nuclear magnetic resonance (NMR) spectroscopy.

The course also covers approaches for analysing metabolomics datasets, identifying metabolites using online databases, and relating metabolomic measurements to metabolic pathways.

By the end of the course, participants should have a broad understanding of metabolomics technologies and be able to analyse and interpret metabolomics data in a biological context.

Teaching is primarily hands-on, with short presentations and demonstrations introducing the concepts and methods used in metabolomics studies.

Intended audience

This course is suitable for:

  • researchers interested in metabolomics and its applications in life sciences and environmental research
  • participants who want an introduction to metabolomics technologies and data analysis
  • researchers interested in integrating metabolomics with other omics approaches
  • participants with little or no prior experience of metabolomics data analysis

No prior experience in metabolomics is required.

Prerequisites

No prior experience in metabolomics data analysis is required.

Course fees

All fees are per full training day.

Category Fee
Industry full charge £130.00
Academic / Government / charity concessionary £65.00
Cambridge University staff members / postdocs / visitors £65.00
Cambridge University registered students Free
Cambridge University registered students non-attendance £22.00
Special events Per event

Payment options will be provided in booking confirmation emails sent after registration.

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