Please use this identifier to cite or link to this item: https://doi.org/10.1089/cmb.2007.0154
DC FieldValue
dc.titleRB-finder: An improved distance-based sliding window method to detect recombination breakpoints
dc.contributor.authorLee, W.-H.
dc.contributor.authorSung, W.-K.
dc.date.accessioned2013-07-04T08:24:12Z
dc.date.available2013-07-04T08:24:12Z
dc.date.issued2008
dc.identifier.citationLee, W.-H., Sung, W.-K. (2008). RB-finder: An improved distance-based sliding window method to detect recombination breakpoints. Journal of Computational Biology 15 (7) : 881-898. ScholarBank@NUS Repository. https://doi.org/10.1089/cmb.2007.0154
dc.identifier.issn10665277
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41296
dc.description.abstractRecombination 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. © Mary Ann Liebert, Inc. 2008.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1089/cmb.2007.0154
dc.sourceScopus
dc.subjectGenotyping
dc.subjectPhylogeny
dc.subjectRecombination detection
dc.subjectSliding window
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1089/cmb.2007.0154
dc.description.sourcetitleJournal of Computational Biology
dc.description.volume15
dc.description.issue7
dc.description.page881-898
dc.description.codenJCOBE
dc.identifier.isiut000259449800017
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.