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基因识别问题及其算法实现

A New Method for Identifying DNA Sequences and Its Algorithm

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【作者】 杨东张洋宋阳

【Author】 YANG Dong~1,ZHANG Yang~2,SONG Yang~3 (1.Hefei National Laboratory for Physical Science at the Microscale,School of Chemistry and Materials Science, University of Science and Technology of China,Hefei 230026,China) (2.Department of Mathematics,University of Science and Technology of China,Hefei 230026,China) (3.Department of Electronic Science and Technology,University of Science and Technology of China,Hefei 230026,China)

【机构】 中国科学技术大学化学系,合肥微尺度国家实验室中国科学技术大学数学系中国科学技术大学电子工程与信息科学系

【摘要】 主要基于DNA序列的信噪比特征来进行基因识别.首先给出了Voss映射、Z-curve映射以及实数映射下对应的功率谱和信噪比三个公式,并用实例验证了碱基的3-周期现象与映射的选取无关.其次对于基因阈值的预测,提出了基于位置判定和基于距离平方的两种最优化方法,并对代表性生物的阈值判定结果作了分析比较.最后,提出了基于信噪比特征的基因识别算法,并预测了几种生物的基因编码区域.

【Abstract】 In this paper,gene identification is based on DNA sequences of SNR characteristics. Firstly,We define the SNRs and power spectrums of different mapping,verifying the relationless of mapping and 3-Base periodicity by real example.Secondly,two kinds of optimization methods based on the prediction of gene threshold value are presented and analyse the results of prediction.At last,the algorithm of identifying gene founded on the SNRS feature is proposed,which predict several biological gene coding region successfully

【关键词】 基因预测阈值信噪比
【Key words】 gene predictionthreshold valuesignal to noise ratio(SNR)
  • 【文献出处】 数学的实践与认识 ,Mathematics in Practice and Theory , 编辑部邮箱 ,2013年14期
  • 【分类号】TN911.4;O242.1
  • 【被引频次】1
  • 【下载频次】262
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