Wavelets in bioinformatics and computational biology:: state of art and perspectives

被引：144
作者：
Liò, P
机构：
[1] Univ Cambridge, Dept Zool, Cambridge, England
[2] European Bioinformat Inst, Hinxton, Cambs, England
来源：
BIOINFORMATICS | 2003年 / 19卷 / 01期
关键词：
D O I：
10.1093/bioinformatics/19.1.2
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
Motivation: At a recent meetingdagger, the wavelet transform was depicted as a small child kicking back at its father, the Fourier transform. Wavelets are more efficient and faster than Fourier methods in capturing the essence of data. Nowadays there is a growing interest in using wavelets in the analysis of biological sequences and molecular biology-related signals. Results: This review is intended to summarize the potential of state of the art wavelets, and in particular wavelet statistical methodology, in different areas of molecular biology: genome sequence, protein structure and microarray data analysis. I conclude by discussing the use of wavelets in modeling biological structures.
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收藏
页码：2 / 9
页数：8
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