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GARD: a genetic algorithm for recombination detection

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Kosakovsky Pond, Sergei L., Posada, David, Gravenor, Michael B., Woelk, Christopher H., Frost, Simon D.W.·2006·Bioinformatics

Abstract

Motivation: Phylogenetic and evolutionary inference can be severely misled if recombination is not accounted for, hence screening for it should be an essential component of nearly every comparative study. The evolution of recombinant sequences can not be properly explained by a single phylogenetic tree, but several phylogenies may be used to correctly model the evolution of non-recombinant fragments. Results: We developed a likelihood-based model selection procedure that uses a genetic algorithm to search multiple sequence alignments for evidence of recombination breakpoints and identify putative recombinant sequences. GARD is an extensible and intuitive method that can be run efficiently in parallel. Extensive simulation studies show that the method nearly always outperforms other available tools, both in terms of power and accuracy and that the use of GARD to screen sequences for recombination ensures good statistical properties for methods aimed at detecting positive selection. Availability: Freely available Contact: spond@ucsd.edu

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Metadata

Authors
Kosakovsky Pond, S. L., Posada, D., Gravenor, M. B., Woelk, C. H., & Frost, S. D. W.
Venue
Bioinformatics
Published
2006-11-16
Volume
22
Issue
24
Pages
3096-3098
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2112011866
Cited by
808
References
0
FWCI
6.14
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: GARD: a genetic algorithm for recombination detection. https://app.cochat.ai/papers/10.1093/bioinformatics/btl474
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Kosakovsky Pond, S. L., Posada, D., Gravenor, M. B., Woelk, C. H., & Frost, S. D. W. (2006). GARD: a genetic algorithm for recombination detection. Bioinformatics. https://doi.org/10.1093/bioinformatics/btl474

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