Skip to main content

A Fitness-Landscape for the Evolution of Uptake Signal Sequences on Bacterial DNA

Chu, Dominique and Rowe, Jonathan (2005) A Fitness-Landscape for the Evolution of Uptake Signal Sequences on Bacterial DNA. In: Capcarrere, Mathieu S. and Freitas, Alex A. and Bentley, Peter J. and Johnson, Colin G. and Timmis, Jon, eds. Advances in Artificial Life 8th European Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 845-853. ISBN 978-3-540-28848-0. E-ISBN 978-3-540-31816-3. (doi:10.1007/11553090_85) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14279)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1007/11553090_85

Abstract

In a recent article Chu et al. presented a computational model investigating the evolutionary origin of so-called uptake signal sequences in bacteria. In that contribution the authors used an agent-based approach. The main aim of this article is to understand the fitness-landscape on which the agents operate. We propose such a fitness- landscape and discuss its implications. This opens the possibility to use GAs for future simulations rather than the computationally expensive agent-based model.

Item Type: Book section
DOI/Identification number: 10.1007/11553090_85
Uncontrolled keywords: Biology evolution modelling
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Dominique Chu
Date Deposited: 24 Nov 2008 18:02 UTC
Last Modified: 16 Feb 2021 12:25 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14279 (The current URI for this page, for reference purposes)
Chu, Dominique: https://orcid.org/0000-0002-3706-2905
  • Depositors only (login required):