Bootstrap confidence levels for phylogenetic trees
Bootstrap confidence levels for phylogenetic trees
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DOI：
10.1073/pnas.93.14.7085
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发表时间：
1996-07-09
影响因子：
11.1
通讯作者：
Holmes, S
中科院分区：
文献类型：
--
作者：
Efron, B;Halloran, E;Holmes, S
进化树通常由DNA或RNA序列数据估计，我们应该对估计的树有多大的信心？1985年，Felsenstein [Felsenstein，J.（1985）Evolution 39，783-791]建议使用自举法来回答这个问题。费尔森斯坦的方法，在概念上是一个简单的应用程序的引导，被广泛使用，但已被批评为偏见的遗传学文献。本文讨论了自举法在树问题中的应用。我们表明，Felsenstein的方法是没有偏见的，但它可以被纠正，以更好地符合标准的置信水平和假设检验的想法。这些修正可以通过使用这里提出的更精细的bootstrap方法来进行，代价是相当多的计算。
Evolutionary trees are often estimated from DNA or RNA sequence data, How much confidence should we have in the estimated trees? In 1985, Felsenstein [Felsenstein, J. (1985) Evolution 39, 783-791] suggested the use of the bootstrap to answer this question. Felsenstein's method, which in concept is a straightforward application of the bootstrap, is widely used, but has been criticized as biased in the genetics literature. This paper concerns the use of the bootstrap in the tree problem. We shown that Felsenstein's method is not biased, but that it can be corrected to better agree with standard ideas of confidence levels and hypothesis testing. These corrections can be made by using the more elaborate bootstrap method presented here, at the expense of considerably more computation.