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Nucleic Acids Research Advance Access originally published online on May 30, 2007
Nucleic Acids Research 2007 35(Web Server issue):W132-W136; doi:10.1093/nar/gkm392
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Nucleic Acids Research, 2007, Vol. 35, No. suppl_2 W132-W136
© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Articles

CodonO: codon usage bias analysis within and across genomes

Michael C. Angellotti, Shafquat B. Bhuiyan, Guorong Chen and Xiu-Feng Wan*

Systems Biology Laboratory, Department of Microbiology, Miami University, Oxford, OH 45056, USA

*To whom correspondence should be addressed. Tel: +1-513-529-0426; Fax: +1-513-529-2431; Email: wanhenry{at}yahoo.com

Received January 31, 2007. Revised April 4, 2007. Accepted May 1, 2007.

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. The webserver is available at http//www.sysbiology.org/CodonO. Contact: wanhenry{at}yahoo.com.

Present address: Xiu-Feng Wan, Molecular Virology and Vaccine Branch, Influenza Division, CDC, Atlanta, GA 30333, USA


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