Probabilistic divergence measures for detecting interspecies recombination

Bioinformatics. 2001:17 Suppl 1:S123-31. doi: 10.1093/bioinformatics/17.suppl_1.s123.

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.

MeSH terms

  • Computational Biology
  • DNA / genetics
  • Dengue Virus / genetics
  • Genetic Techniques / statistics & numerical data
  • Hepatitis B virus / genetics
  • Humans
  • Markov Chains
  • Models, Genetic
  • Models, Statistical*
  • Monte Carlo Method
  • Phylogeny
  • Recombination, Genetic*
  • Sequence Alignment / statistics & numerical data
  • Species Specificity

Substances

  • DNA