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An algorithm for computing the gene tree probability under the multispecies coalescent and its application in the inference of population tree

机译:多物种合并下基因树概率的计算算法及其在种群树推断中的应用

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Motivation: Gene tree represents the evolutionary history of gene lineages that originate from multiple related populations. Under the multispecies coalescent model, lineages may coalesce outside the species (population) boundary. Given a species tree (with branch lengths), the gene tree probability is the probability of observing a specific gene tree topology under the multispecies coalescent model. There are two existing algorithms for computing the exact gene tree probability. The first algorithm is due to Degnan and Salter, where they enumerate all the so-called coalescent histories for the given species tree and the gene tree topology. Their algorithm runs in exponential time in the number of gene lineages in general. The second algorithm is the STELLS algorithm (2012), which is usually faster but also runs in exponential time in almost all the cases.
机译:动机:基因树代表了起源于多个相关种群的基因谱系的进化历史。在多物种合并模型下,宗族可以在物种(种群)边界之外合并。给定一个物种树(具有分支长度),基因树概率是在多物种合并模型下观察特定基因树拓扑的概率。现有两种用于计算确切基因树概率的算法。第一种算法归功于Degnan和Salter,他们列举了给定物种树和基因树拓扑的所有所谓的合并历史。他们的算法通常在基因谱系数量上以指数时间运行。第二种算法是STELLS算法(2012年),它通常更快,但在几乎所有情况下都以指数时间运行。

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