RB-Finder: An Improved Distance-Based Sliding Window Method to Detect Recombination Breakpoints

نویسندگان

  • Wah-Heng Lee
  • Wing-Kin Sung
چکیده

Recombination detection is important before inferring phylogenetic relationships. This will eventually lead to a better understanding of pathogen evolution, more accurate genotyping, and advancements in vaccine development. In this paper, we introduce RB-Finder, a fast and accurate distance-based window method to detect recombination in a multiple sequence alignment. Our method introduces a more informative distance measure and a novel weighting strategy to reduce the window size sensitivity problem and hence improve the accuracy of breakpoint detection. Furthermore, our method is faster than existing phylogeny-based methods since we do not need to construct and compare complex phylogenetic trees. When compared with the current best method Pruned-PDM, our method is a few hundred times more efficient. Experimental evaluation of RB-Finder using synthetic and biological datasets showed that our method is more accurate than existing phylogeny-based methods. We also show how our method has potential use in other related applications such as genotyping.

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عنوان ژورنال:
  • Journal of computational biology : a journal of computational molecular cell biology

دوره 15 7  شماره 

صفحات  -

تاریخ انتشار 2007