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具有随机模式的完美串联重复模型以及用于生物序列中潜在周期性揭示的经验同质性检验多标准。

Model of perfect tandem repeat with random pattern and empirical homogeneity testing poly-criteria for latent periodicity revelation in biological sequences.

作者信息

Chaley Maria, Kutyrkin Vladimir

机构信息

Institute of Mathematical Problems of Biology of Russian Academy of Sciences, Institutskaya St, 4, 142290, Pushchino, Russia.

出版信息

Math Biosci. 2008 Jan;211(1):186-204. doi: 10.1016/j.mbs.2007.10.008. Epub 2007 Nov 5.

Abstract

A model of perfect tandem repeat with random pattern has been considered. It expands a notion of approximate tandem repeat and describes new kind of latent periodicity in biological sequences, which has been named profile periodicity. Based on this model, an original spectral-statistical approach has been proposed for the estimation of size of the periodicity pattern in sequences of approximate tandem repeats. In contrast to existing approaches, this is applicable in practical conditions of unrepresentative samples (for standard criteria). This approach is suitable and effective for preliminary automated revelation of latent periodicity. The advantages of the spectral-statistical approach to estimation of the periodicity pattern for approximate tandem repeats have been demonstrated in comparison with the other methods.

摘要

已经考虑了一种具有随机模式的完美串联重复模型。它扩展了近似串联重复的概念,并描述了生物序列中一种新的潜在周期性,这种周期性被称为轮廓周期性。基于该模型,提出了一种原始的光谱统计方法来估计近似串联重复序列中周期性模式的大小。与现有方法相比,该方法适用于非代表性样本的实际情况(符合标准准则)。这种方法适用于并有效地用于潜在周期性的初步自动揭示。与其他方法相比,已经证明了光谱统计方法在估计近似串联重复的周期性模式方面的优势。

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