An ant colony algorithm for multiple sequence alignment in bioinformatics

Moss, Jonathan and Johnson, Colin G. (2003) An ant colony algorithm for multiple sequence alignment in bioinformatics. In: Pearson, David W. and Steele, Nigel C. and Albrecht, Rudolf F., eds. Springer Computer Series. Springer pp. 182-186. ISBN 3-211-00743-1. (The full text of this publication is not available from this repository)

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http://www.cs.kent.ac.uk/pubs/2003/1707

Abstract

This paper describes a the application of ant colony optimization algorithms, which draw inspiration from the way ants organize themselves in searching for food, to the well-known bioinformatics problem of aligning several protein sequences.

Item Type: Conference or workshop item (UNSPECIFIED)
Additional information: Conference Information: International Conference on Artificial Neural Nets and Genetic Algorithms
Uncontrolled keywords: swarm intelligence; DNA sequences; protein sequences
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:01
Last Modified: 07 May 2014 15:04
Resource URI: http://kar.kent.ac.uk/id/eprint/13988 (The current URI for this page, for reference purposes)
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