Display Settings:


Send to:

Choose Destination
See comment in PubMed Commons below
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



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.


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.

[PubMed - indexed for MEDLINE]
Free full text
PubMed Commons home

PubMed Commons

How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for HighWire
    Loading ...
    Write to the Help Desk