期刊文献+

基于傅里叶分析的蛋白质编码区预测中功率谱密度计算方法研究 被引量:6

Study on Power Spectrum Density Computation Methods for Protein Coding Regions Prediction
下载PDF
导出
摘要 提出一种新的功率谱算法——多滑动窗周期图法.新算法和传统周期图功率谱密度算法在ALLSEQ和HMR195两个DNA序列集上进行了基因预测实验.以近似相关系数AC作为预测准确率测度,实验结果表明,新算法的预测准确率比基于传统周期图法的傅里叶分析基因预测算法有较大提高. A widely used algorithm called traditional periodogram(TP) has been applied in experiments of prediction of protein coding regions.Then a new algorithm of power spectrum density(PSD) computation called multi-sliding-window periodogram(MSWP) is proposed and used in the experiments.Measured with approximate correlation(AC) for overall prediction accuracy,the new algorithm has outperformance comparing with the other TP based Fourier analysis gene prediction algorithms by taking HMR195 and ALLSEQ(also called BG570) as test datasets.
出处 《宁夏大学学报(自然科学版)》 CAS 北大核心 2011年第2期134-138,共5页 Journal of Ningxia University(Natural Science Edition)
基金 宁夏自然科学基金资助项目(NZ1024)
关键词 傅里叶分析 周期图 功率谱密度计算 多滑动窗 蛋白质编码区预测 Fourier analysis periodogram power spectrum density computation multi-sliding windows protein coding regions prediction
  • 相关文献

参考文献14

  • 1MAHMOOD A, JULIEN E, ELIATHAMBY A. Signal processing in sequence analysis: advances in eukaryotic gene prediction[J]. IEEE Journal of Selected Topics in Signal Processing, 2008,2 (3) : 310-321. 被引量:1
  • 2CHEN Bo, JI Ping. Visualization of the protein-coding regions with a self adaptive spectral rmation approach [J]. Nucleic Acids Research,2011,39(1) : e3. 被引量:1
  • 3VOSS R F. Evolution of long-range fractal correlations and 1/f noise in DNA base sequences[J]. Phy Rev Lett,1992,68(25) :3805-3808. 被引量:1
  • 4T1WARI S, RAMACHANDRAN S, BHATTACHARYA A, et al. Prediction of probable genes by Fourier anaysis of ge nomic sequences[J]. Oxford Journals,1997,13(3) :263-270. 被引量:1
  • 5MAHMOOD A, ELIATHAMBY A, JULIEN E. Optimizing period-3 methods for eukaryotic gene prediction[C]//Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008) , Las Vegas, NV : IEEE, 2008 : 521-624. 被引量:1
  • 6马宝山,朱义胜.一种用于基因预测的FIR数字滤波器[J].电子学报,2007,35(9):1710-1713. 被引量:8
  • 7GEORGE T, THOMAS T. Discrete wavelet trans forms de-noising in eukaryotic gene splicing[J]. Elec trical and Electronic Engineering, 2010, 11 (S1) S1-S50. 被引量:1
  • 8王玉,饶妮妮,匡斌,袁祚涌.基于小波变换技术预测DNA序列的编码区[J].电子学报,2007,35(1):141-144. 被引量:6
  • 9MENA-CHALCO JP, CARRER H, ZANA Y, et al Identification of protein coding regions using the modi fied Gabor-wavelet transform[J]. IEEE/ACM trans actions on computational biology and bioinforrnatics 2008,5(2) : 198-207. 被引量:1
  • 10YAN M, LIN Z S, ZHANG C T. A new Fourier transform approach for protein coding measure based on the format of the Z curve[J]. Bioinformatics, 1998,14(8) : 685-690. 被引量:1

二级参考文献15

  • 1R B Farber,A S Lapedes,Sirotkin K M.Determination of eukaryotic protein coding regions using neural networks and information theory[J].J Mol Biol,1992,226(2):471-479. 被引量:1
  • 2S V Buldyrev,et al.Long-range correlation properties of coding and noncoding DNA sequences:Genbank analysis[J].Phys Rev E,1995,51(5):5084-5094. 被引量:1
  • 3S Dong,D B Searls.Gene structure prediction by linguistic methods[J].Genomics,1994,23(3):540-551. 被引量:1
  • 4W Lee,L Luo.Periodicity of base correlation in nucleotide sequence[J].Phys Rev E,1997,56(1):848-851. 被引量:1
  • 5John A Berger,Sanjit K Mitra,Marco Carli,et al.Visualization and analysis of DNA sequences using DNA walks[J].Journal of the Franklin Institute,2004,341(1-2):37-53. 被引量:1
  • 6D Anasstassiou.Frequency-domain analysis of bio-molecular sequences[J].J.Bioinformatics,2000,16(12):1073-1081. 被引量:1
  • 7Stephane Mallat.A Wavelet Tour of Signal Processing.Academic Press[M].Sept.15,1999. 被引量:1
  • 8S Tiwari,S Ramachandran,A Bhattacharya,et al.Prediction of probable genes by Fourier analysis of genomic sequences[J].CABIOS,1997,13(3):263-270. 被引量:1
  • 9M Burset,R Guigó.Evaluation of Gene Structure prediction program[J].Genomics,1996,34(3):353-367. 被引量:1
  • 10J W Fickett.The Gene identification problem:An overview for developers[J].Comput Chem,1996,20(1):103-119. 被引量:1

共引文献13

同被引文献60

引证文献6

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部