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1. 哈尔滨工程大学自动化学院,黑龙江,哈尔滨,150001
2. 剑桥大学癌症分子研究中心,剑桥,英国
3. 哈尔滨工程大学自动化学院黑龙江哈尔滨,150001
4. 剑桥大学癌症分子研究中心英国剑桥
Published:2011
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WANG Ke-jun, L, Jun-jie, et al. A New Method for Identification of Eukaryotic Gene Splice Sites[J]. Acta Electronica Sinica, 2011, 39(5): 1210-1213.
剪接位点识别是基因组分析的关键步骤.为提高真核基因剪接位点识别的精度
提出一种融合多种信息的方法.在采用序列信息与剪接位点信号信息的基础上
增加剪接调控元件信息
并引入结构信息
针对供体位点与受体位点的不同特点
为其建立不同的识别模型.实验结果表明:该方法对剪接位点的识别具有较好的效果
其识别精度可达95%以上.
Splicing site recognition is the key step in the genome analysis.To improve the identification accuracy of eukaryotic gene splicing sites
a variety of information fusion recognition method of splicing sites is proposed.Based on the using sequence information and splicing site signal information
we increased splicing regulatory element information
and proposed the structure information.By analyzing the different characteristics of donor sites and acceptor sites
donor sites identification signal model
acceptor sites identification signal model
donor sites identification sequence model
acceptor sites identification sequence model were built respectively.Our results show that the accuracy of splice site recognition is greater than 95%
suggesting that the method has great potential to achieve a good performance for splice sites identification.
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