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A general additive distance with time-reversibility and rate variation among nucleotide sites.

机译:核苷酸位点之间具有时间可逆性和速率变化的一般加性距离。

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摘要

As additivity is a very useful property for a distance measure, a general additive distance is proposed under the stationary time-reversible (SR) model of nucleotide substitution or, more generally, under the stationary, time-reversible, and rate variable (SRV) model, which allows rate variation among nucleotide sites. A method for estimating the mean distance and the sampling variance is developed. In addition, a method is developed for estimating the variance-covariance matrix of distances, which is useful for the statistical test of phylogenies and molecular clocks. Computer simulation shows (i) if the sequences are longer than, say, 1000 bp, the SR method is preferable to simpler methods; (ii) the SR method is robust against deviations from time-reversibility; (iii) when the rate varies among sites, the SRV method is much better than the SR method because the distance is seriously underestimated by the SR method; and (iv) our method for estimating the sampling variance is accurate for sequences longer than 500 bp. Finally, a test is constructed for testing whether DNA evolution follows a general Markovian model.
机译:由于可加性对于距离度量非常有用,因此建议在核苷酸取代的固定时间可逆(SR)模型下或更一般地在固定,时间可逆和速率变量(SRV)下提出一般加法距离模型,允许核苷酸位点之间的速率变化。开发了一种估计平均距离和采样方差的方法。此外,开发了一种估计距离的方差-协方差矩阵的方法,该方法可用于系统发育和分子钟的统计测试。计算机仿真表明:(i)如果序列长于例如1000 bp,则SR方法优于简单方法; (ii)SR方法对于抵抗时间可逆性具有鲁棒性; (iii)当站点之间的比率不同时,SRV方法比SR方法要好得多,因为SR方法会严重低估距离; (iv)对于超过500 bp的序列,我们估计抽样方差的方法是准确的。最后,构建一个测试以测试DNA进化是否遵循一般的马尔可夫模型。

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