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Measuring guide-tree dependency of inferred gaps in progressive aligners

机译:测量渐进式对准器中推断的间隙的引导树依赖性

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Motivation: Multiple sequence alignments are generally reconstructed using a progressive approach that follows a guide-tree. During this process, gaps are introduced at a cost to maximize residue pairing, but it is unclear whether inferred gaps reflect actual past events of sequence insertions or deletions. It has been found that patterns of inferred gaps in alignments contain information towards the true phylogeny, but it is as yet unknown whether gaps are simply reflecting information that was already present in the guide-tree. Results: We here develop a framework to disentangle the phylogenetic signal carried by gaps from that which is already present in the guide-tree. Our results indicate that most gaps are incorrectly inserted in patterns that, nevertheless, follow the guide-tree. Thus, most gap patterns in current alignments are not informative per se. This affects different programs to various degrees, PRANK being the most sensitive to the guide-tree.
机译:动机:通常使用遵循指导树的渐进方法重建多个序列比对。在此过程中,引入缺口的代价是使残基配对最大化,但是尚不清楚推断的缺口是否反映了序列插入或缺失的实际过去事件。已经发现,比对中推断出的缺口的模式包含有关真实系统发育的信息,但是尚不清楚缺口是否仅反映了指南树中已经存在的信息。结果:我们在这里建立了一个框架,以区分由缺口携带的系统发育信号与引导树中已经存在的信号。我们的结果表明,大多数间隙都错误地插入了遵循指导树的模式中。因此,当前对准中的大多数间隙模式本身并不能提供信息。这在不同程度上影响了不同的程序,PRANK对引导树最为敏感。

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