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基于一致序列多样性分析的启动子预测方法
引用本文:张文燕,武栓虎,王敏强.基于一致序列多样性分析的启动子预测方法[J].生物信息学,2012,10(3):211-216.
作者姓名:张文燕  武栓虎  王敏强
作者单位: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
基金项目: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。

关 键 词:启动子预测  真核生物  CpG岛  区间位置权重矩阵

Algorithm for Promoter Prediction Based on Analysis of Consensus Sequences VaCation
ZHANG Wen-yan , WU Shuan-hu , WANG Min-qiang.Algorithm for Promoter Prediction Based on Analysis of Consensus Sequences VaCation[J].China Journal of Bioinformation,2012,10(3):211-216.
Authors:ZHANG Wen-yan  WU Shuan-hu  WANG Min-qiang
Institution:ZHANG Wen - yan , WU Shuan - hu , WANG Min - qiang ( 1. School of Computer, Yantai University, Yantai Shandong 264005, China 2: School of Life Sciences, Yantai University, Yantai Shandong 264005, China)
Abstract: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.
Keywords:promoter prediction  eukaryotic biology  CpG island  Interval Position Weight Matrix
本文献已被 CNKI 维普 万方数据 等数据库收录!
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