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Using Genome-Scale Metabolic Networks for Analysis, Visualization, and Integration of Targeted Metabolomics Data
- Source :
- Computational Methods and Data Analysis for Metabolomics ISBN: 9781071602386
- Publication Year :
- 2020
- Publisher :
- Springer US, 2020.
-
Abstract
- 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.
- Subjects :
- 0301 basic medicine
business.industry
Computer science
0206 medical engineering
Genome scale
Context (language use)
02 engineering and technology
Computational biology
Metabolomics data
Visualization
Flux balance analysis
Biological pathway
03 medical and health sciences
Metabolic pathway
030104 developmental biology
Data visualization
Metabolomics
business
020602 bioinformatics
Targeted metabolomics
Subjects
Details
- ISBN :
- 978-1-07-160238-6
- ISBNs :
- 9781071602386
- Database :
- OpenAIRE
- Journal :
- Computational Methods and Data Analysis for Metabolomics ISBN: 9781071602386
- Accession number :
- edsair.doi...........15d5601ead02e3fe710ad087a2f83476