基于一致序列多样性分析的启动子预测方法  

Algorithm for Promoter Prediction Based on Analysis of Consensus Sequences Variation

作　　者：张文燕[1] 武栓虎[1] 王敏强[2] 

机构地区：[1]烟台大学计算机学院,山东烟台264005 [2]烟台大学生命科学学院,山东烟台264005

出　　处：《生物信息学》2012年第3期211-216,共6页Chinese Journal of Bioinformatics

基　　金：国家自然科学基金(61070118)

摘　　要：基于启动子的以下特点:(1)启动子区域有一些一致序列,但对于不同的启动子,一致序列在个别碱基上会有所改变,具有多样性;(2)一致序列的位置并不固定,总是在某个范围内波动;(3)大部分的真核生物启动子都和CpG岛有关。提出了一个新的启动子预测方法,即采用了一种新的统计建模策略,并首次提出了区间位置权重矩阵(IPWM)概率模型。大规模序列测试结果表明,新的启动子预测系统具有较好的敏感性和特异性。Based on the following features of promoters ： （ 1 ） Promoter regions include some consistent sequences , however, consistent sequence has diversity because of nucleotide variation for different promoters ; （ 2 ） Positions of consistent sequence are not fixed, instead, their positions are actually more likely to fluctuate in an approximate re- gion;（3 ） Most of the eukaryotic promoters are related with CpG island. A new method is presented for promoter prediction which adopts a new statistical modeling, and it is the first time to present a new concept ＂Interval Position Weight Matrix＂ probability model. Experimental results on large sequences show that the new promoter prediction system is efficient with higher sensitivity and specificity.

关 键 词：启动子预测 真核生物 CPG岛 区间位置权重矩阵 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]