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. Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference. Springer, Vienna, Austria, pp. 182-186. ISBN 978-3-211-00743-3. E-ISBN 978-3-7091-0646-4. (doi:10.1007/978-3-7091-0646-4_33) (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:13988)
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. | |
Official URL: http://dx.doi.org/10.1007/978-3-7091-0646-4_33 |
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: | Book section |
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DOI/Identification number: | 10.1007/978-3-7091-0646-4_33 |
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: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Mark Wheadon |
Date Deposited: | 24 Nov 2008 18:01 UTC |
Last Modified: | 05 Nov 2024 09:47 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/13988 (The current URI for this page, for reference purposes) |
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