Metabolomics workshops

This course develops a metabolomics investigation from experimental design through data preparation and statistical interpretation. Lectures, practical work and group discussion connect analytical chemistry and data collection with reproducible analysis. Exercises cover R data handling and visualisation, xcms processing of untargeted mass-spectrometry data, quality control, missing values and compound annotation. The final module compares univariate tests, multiple-testing correction, principal-component methods, partial least squares and random forests for metabolomic matrices. Sessions: 16, 17, 18 and 20 November, 09:30–13:30, Europe/Berlin (CET, UTC+01:00); no session on 19 November. Live online training; fee €480. Familiarity with R is assumed; prior metabolomics experience is useful.

Learn metabolomics experimental design, LC-MS and imaging acquisition, quality control, data processing, compound annotation and modelling through lectures, practicals and public-data case studies. The course uses Galaxy and MetaboLights to teach standardised workflows, open data and submission practices, including lipidomics and biological interpretation. It is intended for researchers new to metabolomics; basic command-line or Galaxy familiarity helps. There are 30 selected places. Fees are £975 for academia and £1,275 for industry, including four nights’ accommodation and programme catering. Applications open 2 November 2026 and close at 23:59 UK time on 31 January 2027; decisions follow by 12 February.