Stochastic evolution and multifractal classification of prokaryotes

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.

Mutual Information for Examining Correlations in Dna

“…The twenty virtual non-coding regions are generated by the latest version of our software for exploring mutations in DNA [21]. It implements the following in silico operations:…”