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Using genome-scale metabolic networks for analysis, visualization, and integration of targeted metabolomics data.
In: Computational Methods and Data Analysis for Metabolomics. Berlin [u.a.]: Springer, 2020. 361-386 (Methods Mol. Biol. ; 2104)
Interpretation of metabolomics data in the context of biological pathways is important to gain knowledge about underlying metabolic processes. In this chapter we present methods to analyze genome-scale models (GSMs) and metabolomics data together. This includes reading and mining of GSMs using the SBTab format to retrieve information on genes, reactions, and metabolites. Furthermore, the chapter showcases the generation of metabolic pathway maps using the Escher tool, which can be used for data visualization. Lastly, approaches to constrain flux balance analysis (FBA) by metabolomics data are presented.
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Publication type Article: Edited volume or book chapter
Keywords Analysis ; Integration ; Metabolic Networks ; Metabolomics ; Visualization
ISSN (print) / ISBN 1064-3745
Book Volume Title Computational Methods and Data Analysis for Metabolomics
Journal Methods in Molecular Biology
Quellenangaben Volume: 2104, Pages: 361-386
Publishing Place Berlin [u.a.]
Reviewing status Peer reviewed
Institute(s) Research Unit Analytical BioGeoChemistry (BGC)