首页> 外文会议>Biocomputing and Emergent Computation Conference Skovde, Sweden 1-2 September 1997 >Molecular Phylogenetic Trees Are Inferred by Using Minimum Model-based Complexity
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Molecular Phylogenetic Trees Are Inferred by Using Minimum Model-based Complexity

机译:通过使用基于模型的最小复杂度来推断分子系统树

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摘要

In this paper, we introduce a new concept of data complexity which we call "model-based complexity". Then, this concept is applied to the reconstruction of phylogenetic tree from DNA sequences and a computer simulation is employed to examine the efficiency of this method. The results suggest that minimum model-based complexity method has good asymptotic property compared with traditional maximum likeli-hood method or its modification by Akaike's AIC in the case that the multifurcate tree is considered as a candidate topology of tree and/or longer sequences more than 3000-bp could be used in reconstructing phy-logenetic tree.
机译:在本文中,我们介绍了数据复杂性的新概念,我们称之为“基于模型的复杂性”。然后,将该概念应用于从DNA序列重建系统树的过程中,并通过计算机仿真来检验该方法的效率。结果表明,在将多叉树视为树和/或更长序列的候选拓扑的情况下,与传统的最大似然法或Akaike的AIC修改相比,基于最小模型的复杂度方法具有良好的渐近性。 3000bp可用于重建系统发育树。

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