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