Experimental investigation of the genetic text memory using Markov chain models

B. Ryabko, N. Usotskaya
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Abstract

The statistical structure of DNA-sequences is of a great interest to molecular biology, genetics and theory of evolution. One of the approaches is sequence modeling using Markov processes of different orders, and further statistical estimation of their parameters. This approach is evolved in the paper and the test for serial independence, suggested by Ryabko, Astola (Stat. Methodology, 2006), is used to investigate the genetic text ldquomemoryrdquo (or connectivity) in order to determine, if it stabilizes or not while the length of the considered genetic text part is increasing.
基于马尔可夫链模型的遗传文本记忆实验研究
dna序列的统计结构是分子生物学、遗传学和进化理论的重要研究领域。其中一种方法是使用不同阶的马尔可夫过程进行序列建模,并进一步对其参数进行统计估计。这一方法在论文中得到了发展,Ryabko, Astola (Stat. Methodology, 2006)提出的序列独立性测试用于研究遗传文本的记忆性(或连通性),以确定当所考虑的遗传文本部分的长度增加时,它是否稳定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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