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从有根三元组计算最小的多标签系统发育树。

Computing a smallest multilabeled phylogenetic tree from rooted triplets.

机构信息

Institut Gaspard Monge-Université Paris-Est, 5 boulevard Descartes, Champs-sur-Marne, 77454 Marne-la-Vallée, France.

出版信息

IEEE/ACM Trans Comput Biol Bioinform. 2011 Jul-Aug;8(4):1141-7. doi: 10.1109/TCBB.2010.77.

Abstract

We investigate the computational complexity of inferring a smallest possible multilabeled phylogenetic tree (MUL tree) which is consistent with each of the rooted triplets in a given set. This problem has not been studied previously in the literature. We prove that even the very restricted case of determining if there exists a MUL tree consistent with the input and having just one leaf duplication is an NP-hard problem. Furthermore, we show that the general minimization problem is difficult to approximate, although a simple polynomial-time approximation algorithm achieves an approximation ratio close to our derived inapproximability bound. Finally, we provide an exact algorithm for the problem running in exponential time and space. As a by-product, we also obtain new, strong inapproximability results for two partitioning problems on directed graphs called ACYCLIC PARTITION and ACYCLIC TREE-PARTITION.

摘要

我们研究了推断与给定集合中每个有根三元组一致的最小可能多标签系统发育树 (MUL 树) 的计算复杂性。这个问题在文献中以前没有被研究过。我们证明了,即使是确定是否存在与输入一致且只有一个叶重复的 MUL 树的非常受限的情况也是一个 NP 难问题。此外,我们表明,一般的最小化问题难以近似,尽管一个简单的多项式时间近似算法可以达到我们推导的不可近似下界的接近逼近比。最后,我们提供了一个在指数时间和空间内运行的精确算法。作为副产品,我们还为两个有向图上的划分问题——无圈划分和无圈树划分,获得了新的、强的不可近似结果。

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