Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/28400
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Type: Conference paper
Title: Signal processing and statistical methods in analysis of text and DNA
Author: Berryman, M.
Allison, A.
Carpena, P.
Abbott, D.
Citation: Biomedical applications of micro- and nanotechnology : 16-18 December 2002, Melbourne, Australia / Dan V. Nicolau, Abraham P. Lee (eds.), pp. 231-240
Publisher: SPIE
Publisher Place: CDROM
Issue Date: 2002
Series/Report no.: Proceedings of SPIE--the International Society for Optical Engineering ; 4937.
ISBN: 0-8194-4732-3
ISSN: 0277-786X
Conference Name: International Symposium on Smart Materials, Nano- and Micro-Smart Systems (2002 : Melbourne, Australia)
Statement of
Responsibility: 
Matthew J. Berryman, Andrew G. Allison, Pedro Carpena, and Derek Abbott
Abstract: A number of signal processing and statistical methods can be used in analyzing either pieces of text or DNA sequences. These techniques can be used in a number of ways, such as determining authorship of documents, finding genes in DNA, and determining phylogenetic and linguistic trees. Signal processing methods such as spectrograms provide useful new tools in the area of genomic information science. In particular, fractal analysis of DNA "signals" has provided a new way of classifying organisms.
Description: © 2003 COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
RMID: 0020022516
DOI: 10.1117/12.469071
Appears in Collections:Electrical and Electronic Engineering publications

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