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Proceedings Paper

Stochastic evolution and multifractal classification of prokaryotes
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Paper Abstract

We introduce a model for simulating mutation of prokaryote DNA sequences. Using that model we can then evaluated traditional techniques like parsimony and maximum likelihood methods for computing phylogenetic relationships. We also use the model to mimic large scale genomic changes, and use this to evaluate multifractal and related information theory techniques which take into account these large changes in determining phylogenetic relationships.

Paper Details

Date Published: 30 April 2003
PDF: 9 pages
Proc. SPIE 5110, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems, (30 April 2003); doi: 10.1117/12.484914
Show Author Affiliations
Matthew J. Berryman, The Univ. of Adelaide (Australia)
Andrew G. Allison, The Univ. of Adelaide (Australia)
Derek Abbott, The Univ. of Adelaide (Australia)


Published in SPIE Proceedings Vol. 5110:
Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems
Sergey M. Bezrukov; Hans Frauenfelder; Frank Moss, Editor(s)

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