一种新的序列不相似性测量方法及其在系统发育中的应用

Xiao-hui Niu, Nana Li, Feng Shi, Xue-yan Li
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引用次数: 0

摘要

我们提出了一种新的计算方法来测量两个生物序列之间的距离。一个生物序列可以量化为一个有20个状态的马尔可夫链。计算随机状态转移矩阵作为生物序列的定量指标。利用Kullback-Leibler判别信息作为多样性指标,衡量两状态转移矩阵中每对行之间的不相似性。两个序列之间的距离定义为每个氨基酸出现可能性的加权平均值。我们说明了它的应用在重建真兽目系统发育使用连接的h链氨基酸序列。这种系统发育与人们普遍接受的真瑟利亚人的系统发育是一致的。
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A Novel Measurement of Sequence Dissimilarity and Its Application to Phylogeny
We present a new computational approach to measure the distance between two biological sequences. A biological sequence quantifies as a Markov Chain with 20 states. Stochastic state transition matrix is computed as the quantitative index of the biological sequence. The Kullback-Leibler discrimination information is used as a diversity indicator to measure the dissimilarity of each pair of the rows in the two state transition matrix. Distance between the two sequences is defined as the average value with the weight of the occurrence possibility of each amino acid. We illustrate its application in reconstructing a phylogeny of the Eutherian orders using concatenated H-stranded amino acid sequences. This phylogeny is consistent with the commonly accepted one for the Eutherians.
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