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首页> 外文期刊>Journal of Bioinformatics and Computational Biology >OPTIMAL, EFFICIENT RECONSTRUCTION OF PHYLOGENETIC NETWORKS WITH CONSTRAINED RECOMBINATION
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OPTIMAL, EFFICIENT RECONSTRUCTION OF PHYLOGENETIC NETWORKS WITH CONSTRAINED RECOMBINATION

机译:受约束重组的最佳,高效地重建系统发育网络

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A phylogenetic network is a generalization of a phylogenetic tree, allowing structural properties that are not tree-like. In a seminal paper, Wang et al.1 studied the problem of constructing a phylogenetic network, allowing recombination between sequences, with the constraint that the resulting cycles must be disjoint. We call such a phylogenetic network a "galled-tree". They gave a polynomial-time algorithm that was intended to determine whether or not a set of sequences could be generated on galled-tree. Unfortunately, the algorithm by Wang et al. is incomplete and does not constitute a necessary test for the existence of a galled-tree for the data. In this paper, we completely solve the problem. Moreover, we prove that if there is a galled-tree, then the one produced by our algorithm minimizes the number of recombinations over all phylogenetic networks for the data, even allowing multiple-crossover recombinations. We also prove that when there is a galled-tree for the data, the galled-tree minimizing the number of recombinations is "essentially unique". We also note two additional results: first, any set of sequences that can be derived on a galled tree can be derived on a true tree (without recombination cycles), where at most one back mutation per site is allowed; second, the site compatibility problem (which is NP-hard in general) can be solved in polynomial time for any set of sequences that can be derived on a galled tree. Perhaps more important than the specific results about galled-trees, we introduce an approach that can be used to study recombination in general phylogenetic networks. This paper greatly extends the conference version that appears in an earlier work.8 PowerPoint slides of the conference talk can be found at our website.
机译:系统发育网络是系统发育树的概括,允许非树状的结构性质。在一个精细的纸张中,Wang等人研究了构建系统发育网络的问题,允许序列之间的重组,其约束必须不相交。我们称这种系统发育网络称为“壁画”。它们给出了一种多项式 - 时间算法,该算法旨在确定是否可以在壁式树上生成一组序列。不幸的是,Wang等人的算法。是不完整的,并且不构成对数据存在的粘合树的必要测试。在本文中,我们完全解决了这个问题。此外,我们证明,如果有薄树树,则我们算法产生的那个可以最小化对数据的所有系统发育网络上的重组次数,甚至允许多交叉重组。我们还证明了当数据有薄树的树时,最小化重组数量的壁画是“基本上独特的”。我们还注意到两种附加结果:首先,可以在真正的树上派生在粘合树上的任何可以衍生的序列(没有重组循环),其中允许每位站点的大多数后突变;其次,可以在任何可以导出在隐形树上的任何组序列中的多项式时间中解决了网站兼容性问题(通常是NP - 硬的)。也许比关于粘土树木的具体结果更重要,我们介绍一种可用于研究一般系统发育网络中的重组的方法。本文极大地扩展了早期工作中出现的会议版本。在我们的网站上可以找到会议谈话的PowerPoint幻灯片。

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