Abstract | ||
---|---|---|
Here we introduce our application of the wavelet analysis method to DNA sequences. In the signal processing field, Fourier transform is popular for analyzing wave data. However, although this method can process frequency information, it fails to handle locational data. In contrast, the wavelet method accommodates both locational and frequency information for wave analysis. The wavelet method is now increasing in its importance for signal processing. Fast Fourier transform is already applied to biological sequence analysis using correlations. [1]We introduce a new method, called wavelet profile, for biological sequence analysis. Our method is based on multiresolution analysis of wavelet transform, offering data decomposition in several scaling at the same time. We applied our wavelet profile method to identifying gene loci among O. sativa genomic sequences. |
Year | DOI | Venue |
---|---|---|
2002 | 10.1109/CSB.2002.1039368 | CSB |
Keywords | Field | DocType |
wavelet profile method,wave analysis,wavelet profile,frequency information,multiresolution analysis,biological sequence analysis,oryza sativa dna sequence,new method,wavelet analysis method,data decomposition,wavelet profiles,wavelet method,fast fourier transform,fourier transform,sequence analysis,genetics,sequences,dna,data analysis,signal analysis,fourier transforms,wavelet analysis,dna sequence,dna sequence analysis,signal processing,frequency,wavelet transforms,fast fourier transforms,information analysis | Harmonic wavelet transform,Computer science,Second-generation wavelet transform,Discrete wavelet transform,Bioinformatics,Cascade algorithm,Stationary wavelet transform,Wavelet packet decomposition,Wavelet,Wavelet transform | Conference |
ISBN | Citations | PageRank |
0-7695-1653-X | 4 | 0.55 |
References | Authors | |
2 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nobuyuki Kawagashira | 1 | 4 | 0.55 |
Yasuhiro Ohtomo | 2 | 5 | 1.00 |
Kazuo Murakami | 3 | 5 | 1.00 |
Ken-ichi Matsubara | 4 | 193 | 15.33 |
Kawai Jun | 5 | 82 | 5.77 |
P Carninci | 6 | 118 | 10.53 |
Yoshihide Hayashizaki | 7 | 286 | 31.47 |
Shoshi Kikuchi | 8 | 12 | 1.59 |