Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

We developed a software tool (SlidingBayes) for recombination analysis based on Bayesian phylogenetic inference. Sliding-Bayes provides a powerful approach for detecting potential recombination, especially between highly divergent sequences and complex HIV-1 recombinants for which simpler methods like neighbor joining (NJ) may be less powerful. SlidingBayes guides Markov Chain Monte Carlo (MCMC) sampling performed by MrBayes in a sliding window across the alignment (Bayesian scanning). The tool can be used for nucleotide and amino acid sequences and combines all the modeling possibilities of MrBayes with the ability to plot the posterior probability support for clustering of various combinations of taxa.

Original publication

DOI

10.1093/bioinformatics/bti139

Type

Journal article

Journal

Bioinformatics

Publication Date

01/04/2005

Volume

21

Pages

1274 - 1275

Keywords

Algorithms, Bayes Theorem, Chromosome Mapping, DNA, Viral, HIV-1, Models, Genetic, Models, Statistical, Phylogeny, Recombination, Genetic, Sequence Alignment, Sequence Analysis, DNA, Software