Mathematical Modeling Approaches in Plant Metabolomics
- Author(s)
- Lisa Fürtauer, Jakob Weiszmann, Wolfram Weckwerth, Thomas Nägele
- Abstract
The experimental analysis of a plant metabolome typically results in a comprehensive and multidimensional data set. To interpret metabolomics data in the context of biochemical regulation and environmental fluctuation, various approaches of mathematical modeling have been developed and have proven useful. In this chapter, a general introduction to mathematical modeling is presented and discussed in context of plant metabolism. A particular focus is laid on the suitability of mathematical approaches to functionally integrate plant metabolomics data in a metabolic network and combine it with other biochemical or physiological parameters.
- Organisation(s)
- Department of Ecogenomics and Systems Biology, Research Platform Vienna Metabolomics Center, Large-Instrument Facility for Mass Spectrometry in Life Sciences
- Volume
- 1778
- Pages
- 329-347
- DOI
- https://doi.org/10.1007/978-1-4939-7819-9_24
- Publication date
- 05-2018
- Publication status
- Published
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 106044 Systems biology, 106057 Metabolomics, 101028 Mathematical modelling
- Keywords
- Metabolomics, Plant biochemistry, Mathematical modeling, ODE, Jacobian matrix, Multivariate statistics, Time series analysis, Granger causality
- Portal url
- https://ucris.univie.ac.at/portal/en/publications/mathematical-modeling-approaches-in-plant-metabolomics(ab22b379-fd41-4acd-a45e-689690a38e22).html