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Bioinformatics. 2003 Jan;19(1):2-9.

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

Author information

  • Department of Zoology, University of Cambridge, UK. plio@hgmp.mrc.ac.uk

Abstract

MOTIVATION:

At a recent meeting, 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.

PMID:
12499286
[PubMed - indexed for MEDLINE]
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