Paper
30 April 2003 Stochastic evolution and multifractal classification of prokaryotes
Author Affiliations +
Proceedings Volume 5110, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems; (2003) https://doi.org/10.1117/12.484914
Event: SPIE's First International Symposium on Fluctuations and Noise, 2003, Santa Fe, New Mexico, United States
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Matthew J. Berryman, Andrew G. Allison, and Derek Abbott "Stochastic evolution and multifractal classification of prokaryotes", Proc. SPIE 5110, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems, (30 April 2003); https://doi.org/10.1117/12.484914
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Bacteria

Information theory

Computer simulations

Organisms

Stochastic processes

Statistical analysis

Biological research

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