DocumentCode :
1164934
Title :
A Novel Representation Approach to DNA Sequence and Its Application
Author :
Wang, Shi-Yuan ; Tian, Feng-Chun ; Liu, Xiao ; Wang, Jia
Volume :
16
Issue :
4
fYear :
2009
fDate :
4/1/2009 12:00:00 AM
Firstpage :
275
Lastpage :
278
Abstract :
The representation of a DNA sequence is the first stage of genome analysis. A wide variety of approaches has been proposed for different applications in bioinformatics. In this letter, based on the principle of symbolic dynamics, a novel representation approach is proposed, which maps DNA sequence into 3-D chaotic sequences of sawtooth function and completely conserve its biological information. With the application of the new representation approach to DNA sequence, three extended Kalman filters are used to implement gene prediction. Simulation results are presented to illustrate the validity and feasibility of the proposed representation approach to DNA sequence.
Keywords :
DNA; Kalman filters; bioinformatics; genetics; 3D chaotic sequences; DNA sequence; bioinformatics; biological information; extended Kalman filters; gene prediction; genome analysis; Bioinformatics; Biological system modeling; Chaos; Chaotic communication; DNA; Discrete Fourier transforms; Genomics; Predictive models; Proteins; Sequences; Biological information; DNA sequence; extended Kalman filter; gene prediction; symbolic dynamics;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2009.2014291
Filename :
4785267
Link To Document :
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