Data Mining Techniques for the Life Sciences

Volume 1415 of the series Methods in Molecular Biology pp 399-406


Functional Analysis of Metabolomics Data

  • Mónica ChagoyenAffiliated withComputational Systems Biology Group (CNB-CSIC)
  • , Javier López-IbáñezAffiliated withComputational Systems Biology Group (CNB-CSIC)
  • , Florencio PazosAffiliated withComputational Systems Biology Group (CNB-CSIC) Email author 

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Metabolomics aims at characterizing the repertory of small chemical compounds in a biological sample. As it becomes more massive and larger sets of compounds are detected, a functional analysis is required to convert these raw lists of compounds into biological knowledge. The most common way of performing such analysis is “annotation enrichment analysis,” also used in transcriptomics and proteomics. This approach extracts the annotations overrepresented in the set of chemical compounds arisen in a given experiment. Here, we describe the protocols for performing such analysis as well as for visualizing a set of compounds in different representations of the metabolic networks, in both cases using free accessible web tools.

Key words

Metabolomics Metabolic pathway Metabolite Functional enrichment Metabolism Bioinformatics