Fuzzy clustering of stochastic models for molecular phylogenetics
Author(s)
D. Pham, Tuan
Beck, Dominik
Crane, Denis
Griffith University Author(s)
Year published
2005
Metadata
Show full item recordAbstract
A new method for the study of molecular phylogenetics based on fuzzy c-means clustering of Markov models is proposed. This approach is able to cluster whole sequences or genomes into groups whose boundaries overlap, and to reconstruct the phylogenetic trees that graphically describe the evolutionary relationships between organisms. The method is applied to examine the similarities and evolutionary relationships of a large data set of complet.e mammalian mitochondrial genomes.A new method for the study of molecular phylogenetics based on fuzzy c-means clustering of Markov models is proposed. This approach is able to cluster whole sequences or genomes into groups whose boundaries overlap, and to reconstruct the phylogenetic trees that graphically describe the evolutionary relationships between organisms. The method is applied to examine the similarities and evolutionary relationships of a large data set of complet.e mammalian mitochondrial genomes.
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Journal Title
WSEAS Transactions on Biology and Biomedicine
Volume
2
Issue
1