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CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
Published on: November 10, 2023
Consistency analysis of metabolic correlation networks.
Mark Müller-Linow1, Wolfram Weckwerth, Marc-Thorsten Hütt
1Bioinformatics Group, Department of Biology, Darmstadt University of Technology, 64287 Darmstadt, Germany. muellerlinow@bio.tu-darmstadt.de
BMC Systems Biology
|September 26, 2007
Summary
Metabolic correlation networks change over time, showing distinct organizing principles from metabolic reaction maps. Their temporal dynamics offer new insights into metabolic system organization.
Area of Science:
- Systems Biology
- Metabolomics
- Network Analysis
Background:
- Metabolic correlation networks are built from metabolite covariances in metabolomics data.
- They bridge the gap between metabolic network topology and dynamic fluctuations.
Purpose of the Study:
- To analyze temporal changes in metabolic correlation networks.
- To compare metabolite positions in correlation networks versus genome-derived metabolic networks.
Main Methods:
- Analysis of correlation networks over time (day/night course).
- Comparison of metabolite proximity in correlation networks and metabolic networks.
Main Results:
- Network similarity decreases with increasing time differences.
- Metabolite proximity in correlation networks does not indicate proximity in metabolic networks.
Conclusions:
- Organizing principles of correlation networks differ from metabolic reaction maps.
- Time-course data of correlation networks can reveal underlying organizing principles.
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