Signal processing and statistical methods in analysis of text and DNA

Matthew J. Berryman; Andrew G. Allison; Pedro Carpena; Derek Abbott

doi:10.1117/12.469071

14 November 2002 Signal processing and statistical methods in analysis of text and DNA

Matthew J. Berryman, Andrew G. Allison, Pedro Carpena, Derek Abbott

Proceedings Volume 4937, Biomedical Applications of Micro- and Nanoengineering; (2002) https://doi.org/10.1117/12.469071
Event: SPIE's International Symposium on Smart Materials, Nano-, and Micro- Smart Systems, 2002, Melbourne, Australia

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.

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Matthew J. Berryman, Andrew G. Allison, Pedro Carpena, and Derek Abbott "Signal processing and statistical methods in analysis of text and DNA", Proc. SPIE 4937, Biomedical Applications of Micro- and Nanoengineering, (14 November 2002); https://doi.org/10.1117/12.469071

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