Metabolomics data processing is a complex and challenging field, with limited support and guidance available from either metabolomics community resources or training providers. This 3-day course is designed to specifically address challenges associated with untargeted metabolomics data processing, and is recommended for either (i) individuals who have already completed an introductory-level BMTC course, or (ii) delegates with existing intermediate experience operating LC-MS metabolomics, and will provide trainees with furthered skills in metabolomics data processing and analytics.

Delegates will be provided with real LC-MS datasets for hands-on analysis, and over the course of several sessions will be guided through various tools for metabolomic data processing and statistical analysis, including XCMS, univariate statistics, multivariate analysis, and annotation processing.

This course is led and delivered by three experts in the field of metabolomics data processing and statistical analysis and includes lectures to provide a detailed overview of the tools available to process and analyse metabolomics data, and computer workshops to give delegates hands-on experience using workflows and R-packages developed by Phenome Centre Birmingham.