Dates and registration

Course lead

Professor Tim Ebbels
Reader in Computational Bioinformatics

To fully benefit from this course, attendees will ideally have a basic knowledge of analytic chemistry techniques.

This 5 day course provides a comprehensive overview of data analysis for metabolic profiling studies with data acquired from NMR spectroscopy and Liquid Chromatography-Mass Spectrometry. It combines lectures and tutorial sessions to ensure a thorough understanding of the theory and practical applications.

Day 1

Introductory lectures on NMR and LC-MS

Day 2

Lectures and tutorials covering pre-processing metabolomic NMR and LC-MS data

Day 3

Lectures and tutorials covering study design, univariate statistics and exploratory multivariate statistics including PCA

Day 4

Advanced multivariate statistical techniques such as PLS and Orthogonal PLS, including tips and tricks for data analysis

Day 5

Metabolite identification with LCMS and NMR data and pathway analysis with metabolite data.