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Random Tree-Puzzle Leads to the Yule–Harding Distribution

机译:随机树拼图导致Yule-Harding分布

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摘要

Approaches to reconstruct phylogenies abound and are widely used in the study of molecular evolution. Partially through extensive simulations, we are beginning to understand the potential pitfalls as well as the advantages of different methods. However, little work has been done on possible biases introduced by the methods if the input data are random and do not carry any phylogenetic signal. Although Tree-Puzzle (Strimmer K, von Haeseler A. 1996. Quartet puzzling: a quartet maximum-likelihood method for reconstructing tree topologies. Mol Biol Evol. 13:964–969; Schmidt HA, Strimmer K, Vingron M, von Haeseler A. 2002. Tree-Puzzle: maximum likelihood phylogenetic analysis using quartets and parallel computing. Bioinformatics 18:502–504) has become common in phylogenetics, the resulting distribution of labeled unrooted bifurcating trees when data do not carry any phylogenetic signal has not been investigated. Our note shows that the distribution converges to the well-known Yule–Harding distribution. However, the bias of the Yule–Harding distribution will be diminished by a tiny amount of phylogenetic information. maximum likelihood, phylogenetic reconstruction, Tree-Puzzle, tree distribution, Yule–Harding distribution.
机译:重建系统发育的方法比比皆是,并广泛用于分子进化研究。部分通过广泛的模拟,我们开始了解潜在的陷阱以及不同方法的优点。但是,如果输入数据是随机的并且不携带任何系统发生信号,则对于方法引入的可能偏差的工作很少。尽管Tree-Puzzle(Strimmer K,von Haeseler A. 1996.四方令人困惑:用于重建树形拓扑的四方最大似然方法。MolBiol Evol。13:964–969; Schmidt HA,Strimmer K,Vingron M,von Haeseler A 。2002. Tree-Puzzle:使用四重奏和并行计算的最大似然系统发育分析(生物信息学18:502–504)已在系统发育学中变得很普遍,尚未研究当数据不携带任何系统发育信号时带标签的无根分叉树的分布情况。 。我们的注释表明,该分布收敛于著名的Yule-Harding分布。但是,少量的系统发育信息将减少Yule-Harding分布的偏差。最大似然,系统发育重建,Tree-Puzzle,树木分布,Yule-Harding分布。

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