Detecting interspecific recombination with a pruned probabilistic divergence measure

Husmeier, D. , Wright, F. and Milne, I. (2005) Detecting interspecific recombination with a pruned probabilistic divergence measure. Bioinformatics, 21(9), pp. 1797-1806. (doi:10.1093/bioinformatics/bti151)

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Abstract

Motivation: A promising sliding-window method for the detection of interspecific recombination in DNA sequence alignments is based on the monitoring of changes in the posterior distribution of tree topologies with a probabilistic divergence measure. However, as the number of taxa in the alignment increases or the sliding-window size decreases, the posterior distribution becomes increasingly diffuse. This diffusion blurs the probabilistic divergence signal and adversely affects the detection accuracy. The present study investigates how this shortcoming can be redeemed with a pruning method based on post-processing clustering, using the Robinson–Foulds distance as a metric in tree topology space. Results: An application of the proposed scheme to three synthetic and two real-world DNA sequence alignments illustrates the amount of improvement that can be obtained with the pruning method. The study also includes a comparison with two established recombination detection methods: Recpars and the DSS (difference of sum of squares) method.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Husmeier, Professor Dirk
Authors: Husmeier, D., Wright, F., and Milne, I.
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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