CodonO -- codon usage bias analysis within and across genomes

What you can do:
Measure synonymous codon usage bias within and across genomes.
Highlights:
  • Synonymous codon usage biases are associated with various biological factors, such as gene expression level, gene length, gene translation initiation signal, protein amino acid composition, protein structure, tRNA abundance, mutation frequency and patterns, and GC compositions.
  • Quantification of codon usage bias helps understand evolution of living organisms.
  • A codon usage bias pipeline is demanding for codon usage bias analyses within and across genomes.
  • Here we present a CodonO webserver service as a user-friendly tool for codon usage bias analyses across and within genomes in real time.
Keywords:
  • Base Composition
  • Codon
  • GC Rich Sequence/genetics
  • Genetic Code
  • usage bias
This record last updated: 04-21-2014
Report a missing or misdirected URL.

The Health Sciences Library System supports the Health Sciences at the University of Pittsburgh.

© 1996 - 2023 Health Sciences Library System, University of Pittsburgh. All rights reserved.