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Software and Methods for Computational Flux Balance Analysis

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Metabolic Pathway Engineering

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2096))

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Abstract

As genetic engineering of organisms has grown easier and more precise, computational modeling of metabolic systems has played an increasingly important role in both guiding experimental interventions and in understanding the results of metabolic perturbations.

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Acknowledgments

This work was funded by the U.S. Department of Energy’s Bioenergy Technologies Office (DOE-BETO). This work was authored in part by Alliance for Sustainable Energy, LLC, the Manager and Operator of the National Renewable Energy Laboratory for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. The views expressed in the chapter do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains, and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes.

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Authors and Affiliations

  1. Biosciences Center, National Renewable Energy Laboratory, Golden, CO, USA

    Peter C. St. John & Yannick J. Bomble

Authors
  1. Peter C. St. John
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  2. Yannick J. Bomble
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Corresponding author

Correspondence to Peter C. St. John .

Editor information

Editors and Affiliations

  1. National Renewable Energy Laboratory, Golden, CO, USA

    Michael E. Himmel

  2. National Renewable Energy Laboratory, Golden, CO, USA

    Yannick J. Bomble

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St. John, P.C., Bomble, Y.J. (2020). Software and Methods for Computational Flux Balance Analysis. In: Himmel, M., Bomble, Y. (eds) Metabolic Pathway Engineering. Methods in Molecular Biology, vol 2096. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0195-2_13

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  • DOI: https://doi.org/10.1007/978-1-0716-0195-2_13

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-0194-5

  • Online ISBN: 978-1-0716-0195-2

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