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Sequence-Length Requirements for Phylogenetic Methods

机译:系统发育方法的序列长度要求

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We study the sequence lengths required by neighbor-joining, greedy parsimony, and a phylogenetic reconstruction method (DCM_(NJ)+MP) based on disk-covering and the maximum parsimony criterion. We use extensive simulations based on random birth-death trees, with controlled deviations from ultrametricity, to collect data on the scaling of sequence-length requirements for each of the three methods as a function of the number of taxa, the rate of evolution on the tree, and the deviation from ultrametricity. Our experiments show that DCM_(NJ)+MP has consistently lower sequence-length requirements than the other two methods when trees of high topological accuracy are desired, although all methods require much longer sequences as the deviation from ultrametricity or the height of the tree grows. Our study has significant implications for large-scale phylogenetic reconstruction (where sequence-length requirements are a crucial factor), but also for future performance analyses in phylogenetics (since deviations from ultrametricity are proving pivotal).
机译:我们研究了相邻连接,贪婪简约和基于磁盘覆盖和最大简约准则的系统发育重建方法(DCM_(NJ)+ MP)所需的序列长度。我们使用基于随机出生-死亡树的广泛模拟,并控制与超度的偏差,以收集关于三种方法中每种方法的序列长度要求的缩放比例的数据,该数据是分类单元数量,进化速率的函数。树,以及与超度的偏差。我们的实验表明,当需要高拓扑精度的树时,DCM_(NJ)+ MP始终比其他两种方法更低的序列长度要求,尽管随着超测度或树高的增长,所有方法都需要更长的序列。我们的研究对大规模系统发育重建(序列长度要求是至关重要的因素)具有重要意义,而且对于系统发育学的未来性能分析也具有重大意义(因为从超度学角度的偏差被证明是至关重要的)。

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