Unraveling codon usage of <i>Escherichia coli</i> using machine learning
Type de record:
paper
Créateur:
BifYunXuaShi
Éditeur:
ope
Hôte:
Abstract
Machine learning is used to investigate the codon usage of protein-encoding genes, which is one of the fundamental questions of molecular biology. The presentation, parameter learning, and decoding of the conditional random field (CRF) model are implemented and then utilized to analyze the codon usage of the genes of
Escherichia coli
and its phages. Most genes of
E. coli
use codons conforming to the weights of the model determined by all
E. coli
genes. Phages use the codons like their host
E. coli
. Finally, the study evaluates the codon usage of several example genes in the context of the model. These results help to understand the codon usage in
E. coli
.
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