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Models of Genetic Regulatory Networks

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Computation in Cells and Tissues

Part of the book series: Natural Computing Series ((NCS))

Abstract

This chapter provides a short review of the modelling of Genetic Regulatory Networks (GRNs). GRNs have a basic requirement to model (at least) some parts of a biological system using some kind of logical formalism. They represent the set of all interactions among genes and their products for determining the temporal and spatial patterns of expression of a set of genes. The origin of modelling the regulation of gene expression goes back to the Nobel-prize winning work of Lwoff, Jacob and Monod on the mechanisms underlying the behaviour of bacterial viruses that switch between so-called lytic and lysogenic states. Some of the circuit-based approaches to GRNs such as the work of Kauffman, Thomas, and Shapiro and Adam are discussed.

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Author information

Authors and Affiliations

  1. Science and Technology Research Centre, University of Hertfordshire, AL10 9AB, UK

    M. Schilstra

  2. Institute for Systems Biology, Seattle, WA, 98103-8904, USA

    H. Bolouri

  3. Division of Biology 156-29, California Institute of Technology, 91125, CA, USA

    H. Bolouri

Authors
  1. M. Schilstra
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  2. H. Bolouri
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Editor information

Editors and Affiliations

  1. Institute for Systems Biology, Seattle, 98103, WA, USA

    Hamid Bolouri

  2. Department of Computer Science, University of Sheffield, S1 4DP, Sheffield, UK

    Mike Holcombe

  3. School of Biochemestry and Molecular Biology, University of Leeds, Leeds, LS2 9JT, UK

    J. Howard Parish

  4. Future Technologies Group, Intelligent Systems Lab, BTexact Technologies, Ipswich, IP5 3RE, UK

    Richard Tateson

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© 2004 Springer-Verlag Berlin Heidelberg

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Schilstra, M., Bolouri, H. (2004). Models of Genetic Regulatory Networks. In: Paton, R., Bolouri, H., Holcombe, M., Parish, J.H., Tateson, R. (eds) Computation in Cells and Tissues. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-06369-9_8

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  • DOI: https://doi.org/10.1007/978-3-662-06369-9_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05569-0

  • Online ISBN: 978-3-662-06369-9

  • eBook Packages: Springer Book Archive

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