Positive Systems pp 111-118

Modeling and Simulation of Genetic Regulatory Networks

  • Hidde de Jong
Invited Session: Modelling and Identification of Biological Systems
Part of the Lecture Notes in Control and Information Science book series (LNCIS, volume 294)


The analysis of genetic regulatory networks will much benefit from the recent upscaling to the genomic level of experimental methods in molecular biology. In addition to high-throughput experimental methods, mathematical and bioinformatics approaches are indispensable for the analysis of genetic regulatory networks. Given the size and complexity of most networks of biological interest, an intuitive comprehension of their behavior is often difficult, if not impossible to obtain. A variety of methods for the modeling and simulation of genetic regulatory networks have been proposed in the literature. In this tutorial, the two principal approaches that have been used will be reviewed: methods based on di!erential equation models and stochastic models. In addition, we will indicate some alternative methods that have emerged in response to the difficulties encountered in applying the classical approaches.


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Authors and Affiliations

  • Hidde de Jong
    • 1
  1. 1.Institut National de Recherche en Informatique et en Automatique (INRIA), Unité de recherche Rhône-Alpes, 655 avenue de l’Europe, Montbonnot, 38334 Saint Ismier CedexFrance

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