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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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Publikationstyp
Artikel: Sammelbandbeitrag/Buchkapitel
Schlagwörter
Analysis ; Integration ; Metabolic Networks ; Metabolomics ; Visualization
ISSN (print) / ISBN
1064-3745
e-ISSN
1940-6029
Bandtitel
Computational Methods and Data Analysis for Metabolomics
Zeitschrift
Methods in Molecular Biology
Quellenangaben
Band: 2104,
Seiten: 361-386
Verlag
Springer
Verlagsort
Berlin [u.a.]
Nichtpatentliteratur
Publikationen
Begutachtungsstatus
Peer reviewed
Institut(e)
Research Unit Analytical BioGeoChemistry (BGC)