An Entropy-Based Technique for Classifying Bacterial Chromosomes According to Synonymous Codon Usage
Genomics
2015-10-15 v1 Probability
Applications
Abstract
We present a framework based on conditional entropy and the Dirichlet distribution for classifying chromosomes based on the degree to which they use synonymous codons uniformly or preferentially, that is, whether or not codons that code for an amino acid appear with the same relative frequency. Applying the approach to a large collection of annotated bacterial chromosomes reveals three distinct groups of bacteria.
Keywords
Cite
@article{arxiv.1510.04180,
title = {An Entropy-Based Technique for Classifying Bacterial Chromosomes According to Synonymous Codon Usage},
author = {Andrew Hart and Servet Martínez},
journal= {arXiv preprint arXiv:1510.04180},
year = {2015}
}
Comments
22 pages, 3 figures