Functional Analysis of Metabolomics Data.
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.
Computational Systems Biology Group (CNB-CSIC), C/ Darwin, 3, Madrid, 28049, Spain.
Mónica
M
Chagoyen
Computational Systems Biology Group (CNB-CSIC), C/ Darwin, 3, Madrid, 28049, Spain.
Javier
J
López-Ibáñez
Computational Systems Biology Group (CNB-CSIC), C/ Darwin, 3, Madrid, 28049, Spain. pazos@cnb.csic.es.
Florencio
F
Pazos
D066289:Data Curation; D020869:Gene Expression Profiling; D020407:Internet; D053858:Metabolic Networks and Pathways; D055432:Metabolomics / Q000379:methods*; D014584:User-Computer Interface
Bioinformatics; Functional enrichment; Metabolic pathway; Metabolism; Metabolite; Metabolomics