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IEEE Computer Society Bioinformatics Conference (CSB'02)
Stanford, California
August 14-August 16
ISBN: 0-7695-1653-X
ASCII Text
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Nobuyuki Kawagashira, Yasuhiro Ohtomo, Kazuo Murakami, Kenichi Matsubara, Jun Kawai, Piero Carninci, Yoshihide Hayashizaki, Shoshi Kikuchi, "Wavelet Profiles: Their Application in Oryza sativa DNA Sequence Analysis," Computational Systems Bioinformatics Conference, International IEEE Computer Society, pp. 345, IEEE Computer Society Bioinformatics Conference (CSB'02), 2002.
 
 
BibTex
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@article{ 10.1109/CSB.2002.1039368,
author = {Nobuyuki Kawagashira and Yasuhiro Ohtomo and Kazuo Murakami and Kenichi Matsubara and Jun Kawai and Piero Carninci and Yoshihide Hayashizaki and Shoshi Kikuchi},
title = {Wavelet Profiles: Their Application in Oryza sativa DNA Sequence Analysis},
journal ={Computational Systems Bioinformatics Conference, International IEEE Computer Society},
volume = {0},
year = {2002},
isbn = {0-7695-1653-X},
pages = {345},
doi = {http://doi.ieeecomputersociety.org/10.1109/CSB.2002.1039368},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computational Systems Bioinformatics Conference, International IEEE Computer Society
TI - Wavelet Profiles: Their Application in Oryza sativa DNA Sequence Analysis
SN - 0-7695-1653-X
SP
EP
A1 - Nobuyuki Kawagashira,
A1 - Yasuhiro Ohtomo,
A1 - Kazuo Murakami,
A1 - Kenichi Matsubara,
A1 - Jun Kawai,
A1 - Piero Carninci,
A1 - Yoshihide Hayashizaki,
A1 - Shoshi Kikuchi,
PY - 2002
KW - null
VL - 0
JA - Computational Systems Bioinformatics Conference, International IEEE Computer Society
ER -
 
Nobuyuki Kawagashira, National Institute of Agrobiological Sciences
Yasuhiro Ohtomo, Foundation for Advancement of International Science
Kazuo Murakami, Foundation for Advancement of International Science
Kenichi Matsubara, Foundation for Advancement of International Science
Jun Kawai, RIKEN (The Institute of Physical and Chemical Research)
Piero Carninci, RIKEN (The Institute of Physical and Chemical Research)
Yoshihide Hayashizaki, RIKEN (The Institute of Physical and Chemical Research)
Shoshi Kikuchi, National Institute of Agrobiological Sciences
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.
Citation:
Nobuyuki Kawagashira, Yasuhiro Ohtomo, Kazuo Murakami, Kenichi Matsubara, Jun Kawai, Piero Carninci, Yoshihide Hayashizaki, Shoshi Kikuchi, "Wavelet Profiles: Their Application in Oryza sativa DNA Sequence Analysis," csb, pp.345, IEEE Computer Society Bioinformatics Conference (CSB'02), 2002
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