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首页> 外文期刊>BMC Bioinformatics >An analytical upper bound on the number of loci required for all splits of a species tree to appear in a set of gene trees
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An analytical upper bound on the number of loci required for all splits of a species tree to appear in a set of gene trees

机译:分析物种树的所有分裂出现在一组基因树中所需的基因座数量的上限

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Background Many methods for species tree inference require data from a sufficiently large sample of genomic loci in order to produce accurate estimates. However, few studies have attempted to use analytical theory to quantify “sufficiently large”. Results Using the multispecies coalescent model, we report a general analytical upper bound on the number of gene trees n required such that with probability q , each bipartition of a species tree is represented at least once in a set of n random gene trees. This bound employs a formula that is straightforward to compute, depends only on the minimum internal branch length of the species tree and the number of taxa, and applies irrespective of the species tree topology. Using simulations, we investigate numerical properties of the bound as well as its accuracy under the multispecies coalescent. Conclusions Our results are helpful for conservatively bounding the number of gene trees required by the ASTRAL inference method, and the approach has potential to be extended to bound other properties of gene tree sets under the model.
机译:背景技术许多种树推断的方法需要来自足够大的基因组基因座样本的数据,以便产生准确的估计值。但是,很少有研究尝试使用分析理论来量化“足够大”。结果使用多物种合并模型,我们报告了所需的基因树数量n的一般分析上限,这样,概率为q时,物种树的每个划分在n个随机基因树的集合中至少代表一次。此范围采用了一个易于计算的公式,仅取决于物种树的最小内部分支长度和分类单元的数量,并且无论物种树的拓扑结构如何都适用。使用模拟,我们研究了绑定的数值属性及其在多物种合并下的准确性。结论我们的结果有助于保守地限定ASTRAL推理方法所需的基因树的数量,并且该方法具有扩展到绑定模型下基因树集其他属性的潜力。

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