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Mathematical Modeling Approaches in Plant Metabolomics

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Plant Metabolomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1778))

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.

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Acknowledgments

This work was supported by the Austrian Science Fund (FWF), Project I 2071, and the Vienna Metabolomics Center ViMe at the University of Vienna.

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Author notes

  1. Lisa Fürtauer and Jakob Weiszmann contributed equally to this work.

Authors and Affiliations

  1. Department of Ecogenomics and Systems Biology, Faculty of Life Sciences, University of Vienna, Vienna, Austria

    Lisa Fürtauer, Jakob Weiszmann, Wolfram Weckwerth & Thomas Nägele

  2. Vienna Metabolomics Center, University of Vienna, Vienna, Austria

    Jakob Weiszmann, Wolfram Weckwerth & Thomas Nägele

  3. Department Biology I, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Austria

    Thomas Nägele

Authors
  1. Lisa Fürtauer
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  2. Jakob Weiszmann
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  3. Wolfram Weckwerth
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  4. Thomas Nägele
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Corresponding author

Correspondence to Thomas Nägele .

Editor information

Editors and Affiliations

  1. Plant Metabolomics Laboratory, Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa (ITQB NOVA), Oeiras, Portugal

    Carla António

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Fürtauer, L., Weiszmann, J., Weckwerth, W., Nägele, T. (2018). Mathematical Modeling Approaches in Plant Metabolomics. In: António, C. (eds) Plant Metabolomics. Methods in Molecular Biology, vol 1778. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7819-9_24

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  • DOI: https://doi.org/10.1007/978-1-4939-7819-9_24

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7818-2

  • Online ISBN: 978-1-4939-7819-9

  • eBook Packages: Springer Protocols

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