School of Computing

An ant colony algorithm for multiple sequence alignment in bioinformatics

Jonathan D. Moss and Colin G. Johnson

In David W. Pearson, Nigel C. Steele, and Rudolf F. Albrecht, editors, Artificial Neural Networks and Genetic Algorithms, pages 182-196. Springer, April 2003.

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.

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Bibtex Record

@inproceedings{1707,
author = {Jonathan D. Moss and Colin G. Johnson},
title = {An ant colony algorithm for multiple sequence alignment in bioinformatics},
month = {April},
year = {2003},
pages = {182-196},
keywords = {determinacy analysis, Craig interpolants},
note = {},
doi = {},
url = {http://www.cs.kent.ac.uk/pubs/2003/1707},
    publication_type = {inproceedings},
    submission_id = {20181_1063819455},
    ISBN = {3-211-00743-1},
    booktitle = {Artificial Neural Networks and Genetic Algorithms},
    editor = {David W. Pearson and Nigel C. Steele and Rudolf F. Albrecht},
    publisher = {Springer},
    refereed = {yes},
}

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Last Updated: 21/03/2014