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The Prevalence of Multifurcations in Tree-space and Their Implications for Tree-search

机译:树空间中多分支的盛行及其对树搜索的启示

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Phylogenetic tree-search is a major aspect of many evolutionary studies. Several tree rearrangement algorithms are available for tree-search, but it is hard to draw general conclusions about their relative performance because many effects are data set specific and can be highly dependent on individual implementations (e.g., RAxML or phyml). Using only the structure of the rearrangements proposed by the Nearest Neighbor Interchange (NNI) algorithm, we show tree-search can prematurely terminate if it encounters multifurcating trees. We validate the relevance of this result by demonstrating that in real data the majority of possible bifurcating trees potentially encountered during tree-search are actually multifurcations, which suggests NNI would be expected to perform poorly. We also show that the star-decomposition algorithm is a special case of two other popular tree-search algorithms, subtree pruning and regrafting (SPR) and tree bisection and reconnection (TBR), which means that these two algorithms can efficiently escape when they encounter multifurcations. We caution against the use of the NNI algorithm and for most applications we recommend the use of more robust tree-search algorithms, such as SPR and TBR.
机译:系统发育树的研究是许多进化研究的主要方面。几种树重排算法可用于树搜索,但是很难得出关于它们的相对性能的一般结论,因为许多影响是特定于数据集的,并且可能高度依赖于各个实现(例如,RAxML或phyml)。仅使用最近邻居交换(NNI)算法提出的重排结构,我们显示如果树搜索遇到多叉树,则可以过早终止。我们通过证明在真实数据中,在树搜索过程中可能会遇到的大多数分支树实际上是多分支,来验证此结果的相关性,这表明NNI的性能较差。我们还表明,星形分解算法是其他两种流行的树搜索算法(子树修剪和移植(SPR)以及树二等分和重新连接(TBR))的特例,这意味着这两种算法在遇到时可以有效地逃脱分叉。我们告诫不要使用NNI算法,并且对于大多数应用程序,我们建议使用更强大的树搜索算法,例如SPR和TBR。

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