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Genome Rearrangement Phylogeny Using Weighbor

机译:基因组重新排列用肉霉素

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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.
机译:通过改变基因组内基因的顺序和滞留性的操作,进化在整个基因组上运行。这种类型的数据为深入进化重排事件的发现提供了新的机会。已经提出了几种基于距离的系统发育重建方法[12,21,19],其使用邻居连接(NJ)[16],其中K重排事件后的预期断点或反转距离。在本文中,我们研究了断点和反转距离的方差。结果与LikeBor [5]相结合,使用真正的进化距离估计器的方差改进了NJ的改进版本,得到了两种新方法,Ligkbor-IeBP和Ligkbor-EDE。实验显示新方法具有比以前所有基于距离的方法更好的准确性,并且对模型参数误操作良好是强大的。

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