Literature DB >> 15388518

Stepwise detection of recombination breakpoints in sequence alignments.

Jinko Graham1, Brad McNeney, Françoise Seillier-Moiseiwitsch.   

Abstract

MOTIVATION: We propose a stepwise approach to identify recombination breakpoints in a sequence alignment. The approach can be applied to any recombination detection method that uses a permutation test and provides estimates of breakpoints.
RESULTS: We illustrate the approach by analyses of a simulated dataset and alignments of real data from HIV-1 and human chromosome 7. The presented simulation results compare the statistical properties of one-step and two-step procedures. More breakpoints are found with a two-step procedure than with a single application of a given method, particularly for higher recombination rates. At higher recombination rates, the additional breakpoints were located at the cost of only a slight increase in the number of falsely declared breakpoints. However, a large proportion of breakpoints still go undetected. AVAILABILITY: A makefile and C source code for phylogenetic profiling and the maximum chi2 method, tested with the gcc compiler on Linux and WindowsXP, are available at http://stat-db.stat.sfu.ca/stepwise/ CONTACT: jgraham@stat.sfu.ca.

Entities:  

Mesh:

Year:  2004        PMID: 15388518     DOI: 10.1093/bioinformatics/bti040

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  8 in total

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8.  Identifying recombinants in human and primate immunodeficiency virus sequence alignments using quartet scanning.

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  8 in total

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