Probabilistic divergence measures for detecting interspecies recombination

Husmeier, D. and Wright, F. (2001) Probabilistic divergence measures for detecting interspecies recombination. Bioinformatics, 17(Sup 1), S123-S131. (doi:10.1093/bioinformatics/17.suppl_1.S123)

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Abstract

This paper proposes a graphical method for detecting interspecies recombination in multiple alignments of DNA sequences. A fixed-size window is moved along a given DNA sequence alignment. For every position, the marginal posterior probability over tree topologies is determined by means of a Markov chain Monte Carlo simulation. Two probabilistic divergence measures are plotted along the alignment, and are used to identify recombinant regions. The method is compared with established detection methods on a set of synthetic benchmark sequences and two real-world DNA sequence alignments.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Husmeier, Professor Dirk
Authors: Husmeier, D., and Wright, F.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Bioinformatics
ISSN:1367-4803
ISSN (Online):1460-2059

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