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Dynamic links and evolutionary history in simulated gene regulatory networks

Steiner, T, Jin, Y, Schramm, L and Sendhoff, B (2009) Dynamic links and evolutionary history in simulated gene regulatory networks In: Handbook of Research on Computational Methodologies in Gene Regulatory Networks. UNSPECIFIED, pp. 498-522. ISBN 9781605666853

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Abstract

In this chapter, we describe the use of evolutionary methods for the in silico generation of artificial gene regulatory networks (GRNs). These usually serve as models for biological networks and can be used for enhancing analysis methods in biology. We clarify our motivation in adopting this strategy by showing the importance of detailed knowledge of all processes, especially the regulatory dynamics of interactions undertaken during gene expression. To illustrate how such a methodology works, two different approaches to the evolution of small-scale GRNs with specified functions, are briefly reviewed and discussed. Thereafter, we present an approach to evolve medium sized GRNs with the ability to produce stable multi-cellular growth. The computational method employed allows for a detailed analysis of the dynamics of the GRNs as well as their evolution. We have observed the emergence of negative feedback during the evolutionary process, and we suggest its implication to the mutational robustness of the regulatory network which is further supported by evidence observed in additional experiments. © 2010, IGI Global.

Item Type: Book Section
Authors :
NameEmailORCID
Steiner, TUNSPECIFIEDUNSPECIFIED
Jin, Yyaochu.jin@surrey.ac.ukUNSPECIFIED
Schramm, LUNSPECIFIEDUNSPECIFIED
Sendhoff, BUNSPECIFIEDUNSPECIFIED
Date : 1 December 2009
Identification Number : 10.4018/978-1-60566-685-3.ch021
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:15
Last Modified : 17 May 2017 15:10
URI: http://epubs.surrey.ac.uk/id/eprint/838525

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