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Updated: May 13, 2026
CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
Published on: November 10, 2023
SRV: an open-source toolbox to accelerate the recovery of metabolic biomarkers and correlations from metabolic
Vincent Navratil1, Clément Pontoizeau, Elise Billoir
1Centre de RMN à Très Hauts Champs, Institut des sciences analytiques, CNRS/ENS Lyon/UCB Lyon 1, Université de Lyon, 5 rue de la Doua, 69100 Villeurbanne, France.
Motivation:
Supervised multivariate statistical analyses are often required to analyze the high-density spectral information in metabolic datasets acquired from complex mixtures in metabolic phenotyping studies. Here we present an implementation of the SRV-Statistical Recoupling of Variables-algorithm as an open-source Matlab and GNU Octave toolbox. SRV allows the identification of similarity between consecutive variables resulting from the high-resolution bucketing. Similar variables are gathered to restore the spectral dependency within the datasets and identify metabolic NMR signals. The correlation and significance of these new NMR variables for a given effect under study can then be measured and represented on a loading plot to allow a visual and efficient identification of candidate biomarkers. Further on, correlations between these candidate biomarkers can be visualized on a two-dimensional pseudospectrum, representing a correlation map, helping to understand the modifications of the underlying metabolic network.
Availability:
SRV toolbox is encoded in MATLAB R2008A (Mathworks, Natick, MA) and in GNU Octave. It is available free of charge at http://www.prabi.fr/redmine/projects/srv/repository with a tutorial.
Contact:
benjamin.blaise@chu-lyon.fr or vincent.navratil@univ-lyon1.fr.
