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Genome Rearrangement Phylogeny Using Weighbor
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Genome Rearrangement Phylogeny Using Weighbor
Li-San Wang 6 
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Department of Computer Sciences, University of Texas, 78712 Austin, TX, USA |
Abstract
Evolution operates on whole genomes by operations that change the order and strandedness of genes within the genomes. This
type of data presents new opportunities for discoveries about deep evolutionary rearrangement events. Several distance-based
phylogenetic reconstruction methods have been proposed [12],[21],[19] that use neighbor joining (NJ) [16] with the expected breakpoint or inversion distances after k rearrangement events. In this paper we study the variance of the breakpoint and inversion distances. The result is combined
with Weighbor [5], an improved version of NJ using the variance of true evolutionary distance estimators, to yield two new methods, Weighbor-IEBP
and Weighbor-EDE. Experiments show the new methods have better accuracy than all previous distance-based methods, and are
robust against model parameter misspecifications.
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