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基于遗传算法的启动子序列多粒度结构分析
引用本文:吴彦,王立宏,赵宪佳.基于遗传算法的启动子序列多粒度结构分析[J].青岛大学学报(自然科学版),2009,22(2):11-14.
作者姓名:吴彦  王立宏  赵宪佳
作者单位:1. 青岛大学数学科学学院,青岛,266071
2. 烟台大学计算机学院,烟台,264005
3. 青岛大学国际学院,青岛,266071
摘    要:采用遗传算法对启动子序列数据集抽取不同长度的最优模糊子序列模式,以此分析启动子的结构。实验发现:适当调整子序列模式与样本序列的匹配程度阈值,可以发现局部频繁模式,除较长的TATA盒外还发现了其他一些模式,而在阈值较低时算法得到CpG岛。

关 键 词:遗传算法  启动子  模糊子序列模式

Multiple-Granular Structure Analysis of Promoters Based on Genetic Algorithm
WU Yan,WANG Li-hong,ZHAO Xian-jia.Multiple-Granular Structure Analysis of Promoters Based on Genetic Algorithm[J].Journal of Qingdao University(Natural Science Edition),2009,22(2):11-14.
Authors:WU Yan  WANG Li-hong  ZHAO Xian-jia
Institution:1.College of Mathematics;Qingdao University;Qingdao 266071;China;2.School of Computer Science & Technology;Yantai University;Yantai 264005;China
Abstract:Genetic algorithm is employed to extract optimal fuzzy sub-sequence patterns with different lengths to find the structure of promoters. Experiments show that,some local frequent pattern can be found with respect to suitable threshold of match between sub-sequence and sample sequences.And then a long TATA box and some other new patterns are obtained.CpG island also appears frequently w.r.t low threshold value.
Keywords:genetic algorithm  promoter  fuzzy sub-sequence pattern  
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