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Estimating evolutionary distances between genomic sequences from spaced-word matches

机译:从间隔词匹配估计基因组序列之间的进化距离

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摘要

Alignment-free methods are increasingly used to calculate evolutionary distances between DNA and protein sequences as a basis of phylogeny reconstruction. Most of these methods, however, use heuristic distance functions that are not based on any explicit model of molecular evolution. Herein, we propose a simple estimator dN of the evolutionary distance between two DNA sequences that is calculated from the number N of (spaced) word matches between them. We show that this distance function is more accurate than other distance measures that are used by alignment-free methods. In addition, we calculate the variance of the normalized number N of (spaced) word matches. We show that the variance of N is smaller for spaced words than for contiguous words, and that the variance is further reduced if our spaced-words approach is used with multiple patterns of ‘match positions’ and ‘don’t care positions’. Our software is available online and as downloadable source code at: .
机译:无序列比的方法越来越多地用于计算DNA和蛋白质序列之间的进化距离,作为系统发育重建的基础。但是,大多数这些方法使用的启发式距离函数并非基于分子进化的任何明确模型。在此,我们提出了两个DNA序列之间进化距离的简单估计量dN,该估计量是根据两个词之间的(间隔)单词匹配数N计算得出的。我们表明,此距离函数比无对齐方法使用的其他距离度量更为准确。另外,我们计算(间隔的)单词匹配的归一化数量N的方差。我们发现,间隔词的N的方差小于连续词的N的方差,并且如果我们的间隔词方法与“匹配位置”和“无关位置”的多种模式一起使用,则方差会进一步减小。我们的软件可在线获得,也可以从以下位置下载源代码。

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