Metabolomics data in the context of metabolic networks: closing the loop in the workflow

 

Metabolomics datasets are the outcome of biochemical events ruled by enzymatic reactions. All these reactions, and related substrates and products, can be gathered in a single mathematical object called a metabolic network. In this webinar, we will discuss how these networks are built, how we can model them into mathematical formalism (graph) and how we can use these graphs to provide biochemical insight on metabolic fingerprints. We will also show that network analysis can be incluced in the metabolite identification process.

This webinar is aimed at individuals who wish to learn more about the analysing metabolomics networks. No prior knowledge of bioinformatics is required, but an understanding of metabolomics would be useful.

This webinar was recorded on 6 July 2018. The slides from this webinar can be downloaded below.

It is best viewed in full screen mode using Google Chrome.

See the EMBL-EBI training pages for a list of upcoming webinars.

About this course

Author(s): 
Fabien Jourdan
Learning objectives: 
  • Describe where metabolic pathways/networks come from
  • Outline the process of pathway mapping and enrichment
  • Compare networks and pathway approaches
  • Describe how to extract sub-networks from a fingerprint
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