Abstract

You may already know that there are different types of -omic sciences; out of these, metabolomics is most closely related to phenotypes. Metabolomics involves the study of different types of matrices, such as blood, urine, tissues, in various organisms including plants. It focuses on studying the very small molecules which are called metabolites, to better understand matters linked to the metabolism. However, studying metabolites is not a piece of cake since it requires several critical steps which still have some major bottlenecks. Metabolomics is still quite a young science, and has many kinds of specific challenges.

About This Material

This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.

Questions this will address

• What are the main steps for gas chromatography-mass spectrometry (GC-MS) data processing for untargeted metabolomic analysis?
• How to conduct metabolomic GC-MS data analysis from preprocessing to annotation using Galaxy?

Learning Objectives

• To confirm you have already comprehend the diversity of MS pre-processing analysis.
• To discover the principal functions of the metaMS package for GC-MS data processing available in Galaxy.
• To evaluate the potential of two Galaxy-based workflow approaches when dealing with GC-MS metabolomic analysis.