Chen Shuang-ping, Han Kai, Ma Meng, Wang Xu-fa. The Joint Multi-fractal Analysis of the Base Sequence of Chromosomes[J]. Journal of Electronics & Information Technology, 2008, 30(2): 298-301. doi: 10.3724/SP.J.1146.2006.01111
Citation:
Chen Shuang-ping, Han Kai, Ma Meng, Wang Xu-fa. The Joint Multi-fractal Analysis of the Base Sequence of Chromosomes[J]. Journal of Electronics & Information Technology, 2008, 30(2): 298-301. doi: 10.3724/SP.J.1146.2006.01111
Chen Shuang-ping, Han Kai, Ma Meng, Wang Xu-fa. The Joint Multi-fractal Analysis of the Base Sequence of Chromosomes[J]. Journal of Electronics & Information Technology, 2008, 30(2): 298-301. doi: 10.3724/SP.J.1146.2006.01111
Citation:
Chen Shuang-ping, Han Kai, Ma Meng, Wang Xu-fa. The Joint Multi-fractal Analysis of the Base Sequence of Chromosomes[J]. Journal of Electronics & Information Technology, 2008, 30(2): 298-301. doi: 10.3724/SP.J.1146.2006.01111
The multi-fractal spectrum of the DNA sequence of a chromosome reflects its probability distribution, and the joint multi-fractal spectrum of two DNA sequences can be used to discriminate their distributions. By employing joint multi-fractal spectrum to analyze the DNA sequences of chromosomes and randomly generated sequences according to predefined distributions, it has been shown that, different chromosomes of the same specie can be viewed as being generated from the same information source, and chromosomes of different species can not be thought so, but all are different from randomly generated sequences. The joint multi-fractal can also be used in other fields for signal modeling and analyzing.
Yu Z G, Anh V, and Lau K S. Measure representation andmultifractal analysis of complete genomes[J].Phys. Rev. E.2001,64(3):031903-031912[2]朱雪龙. 应用信息论基础. 北京:清华大学出版社, Mar. 2000:74-108.[3]Cover T M and Thomas J A. Elements of Information theory.Beijing: Tsinghua University Press, Nov. 2003: 1-50.[4]陈双平, 郑浩然, 刘金霞等. 离散稳恒信号的多重分形谱的计算及其应用[J].电子与信息学报.2007, 29(5):1054-1057浏览[5]Meneveau C, Sreenivasan K R, Kailasnath P, and Fan M S.Joint multifractal measures: Theory and applications toturbulence[J].Phys. Rev. A.1990, 41(2):894-913[6]Kravchenko A N, Bullock D G, and Boast C W. Jointmultifractal analysis of crop yield and terrain slope[J].Agron J.2000, 92(6):1279-1290[7]Zeleke T B and Si B C. Scaling properties of topographicindices and crop yield: Multifractal and joint multifractalapproaches[J].Agron J.2004, 96(4):1082-1090[8]Francois Schmitt S L and Schertzer D. Multifractal analysisof foreign exchange data[J].Applied Stochastic Models and DataAnalysis.1999, 15(1):29-533.0.CO;2-Z' target='_blank'>