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秋算法——现实系统发育树杂交网络的计算。

Autumn Algorithm-Computation of Hybridization Networks for Realistic Phylogenetic Trees.

出版信息

IEEE/ACM Trans Comput Biol Bioinform. 2018 Mar-Apr;15(2):398-410. doi: 10.1109/TCBB.2016.2537326. Epub 2016 Mar 2.

Abstract

A minimum hybridization network is a rooted phylogenetic network that displays two given rooted phylogenetic trees using a minimum number of reticulations. Previous mathematical work on their calculation has usually assumed the input trees to be bifurcating, correctly rooted, or that they both contain the same taxa. These assumptions do not hold in biological studies and "realistic" trees have multifurcations, are difficult to root, and rarely contain the same taxa. We present a new algorithm for computing minimum hybridization networks for a given pair of "realistic" rooted phylogenetic trees. We also describe how the algorithm might be used to improve the rooting of the input trees. We introduce the concept of "autumn trees", a nice framework for the formulation of algorithms based on the mathematics of "maximum acyclic agreement forests". While the main computational problem is hard, the run-time depends mainly on how different the given input trees are. In biological studies, where the trees are reasonably similar, our parallel implementation performs well in practice. The algorithm is available in our open source program Dendroscope 3, providing a platform for biologists to explore rooted phylogenetic networks. We demonstrate the utility of the algorithm using several previously studied data sets.

摘要

一个最小杂交网络是一个有根系统发生网络,它使用最少的网状结构来显示两个给定的有根系统发生树。以前关于它们计算的数学工作通常假设输入树是分支的、正确有根的,或者它们都包含相同的分类群。这些假设在生物学研究中并不成立,“现实”的树有多叉分枝,难以有根,并且很少包含相同的分类群。我们提出了一种新的算法,用于计算给定的“现实”有根系统发生树对的最小杂交网络。我们还描述了如何使用该算法来改进输入树的有根性。我们引入了“秋季树”的概念,这是一个很好的框架,用于基于“最大非循环一致森林”的数学来制定算法。虽然主要的计算问题是困难的,但运行时间主要取决于给定输入树的差异程度。在生物学研究中,当树相当相似时,我们的并行实现实际上表现良好。该算法可在我们的开源程序 Dendroscope 3 中使用,为生物学家提供了一个探索有根系统发生网络的平台。我们使用几个以前研究过的数据集展示了该算法的实用性。

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