A Bayesian approach to discriminate between alternative DNA sequence segmentations

Husmeier, D. and Wright, F. (2002) A Bayesian approach to discriminate between alternative DNA sequence segmentations. Bioinformatics, 18(2), pp. 226-234. (doi:10.1093/bioinformatics/18.2.226)

Full text not currently available from Enlighten.

Abstract

Motivation: As a result of recombination or rate variation, a DNA sequence alignment may have a mosaic structure, where different segments correspond to different evolutionary histories. While several methods have been developed to predict DNA mosaic structures, they do not properly address the question of whether the predicted segmentation itself is statistically significant, or whether it is significantly better than an alternative mosaic structure predicted with another method. The objective of the present article is to devise an approximate Bayesian hypothesis test to discriminate between alternative candidate mosaic structures. Results: We have applied the proposed discrimination scheme to various synthetic and real-world DNA sequence alignments. On the synthetic data, the algorithm identified the true mosaic structure in nine out of ten cases. On the real-world sequence alignments, it selected the same mosaic structures as predicted in the literature.

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

University Staff: Request a correction | Enlighten Editors: Update this record