Pietro Liò1. 1. 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.
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.
Authors: Donald E Mager; Evgeny Kobrinsky; Amirali Masoudieh; Anna Maltsev; Darrell R Abernethy; Nikolai M Soldatov Journal: Biophys J Date: 2007-06-22 Impact factor: 4.033
Authors: Christopher D Herring; Marni Raffaelle; Timothy E Allen; Elenita I Kanin; Robert Landick; Aseem Z Ansari; Bernhard Ø Palsson Journal: J Bacteriol Date: 2005-09 Impact factor: 3.490
Authors: Wouter Meuleman; Judith Y M N Engwegen; Marie-Christine W Gast; Lodewyk F A Wessels; Marcel J T Reinders Journal: BMC Bioinformatics Date: 2009-01-30 Impact factor: 3.169