CodonO：基因组内及跨基因组的密码子使用偏好性分析。
CodonO: codon usage bias analysis within and across genomes.
作者信息
Angellotti Michael C, Bhuiyan Shafquat B, Chen Guorong, Wan Xiu-Feng
机构信息
Systems Biology Laboratory, Department of Microbiology, Miami University, Oxford, OH 45056, USA.
出版信息
Nucleic Acids Res. 2007 Jul;35(Web Server issue):W132-6. doi: 10.1093/nar/gkm392. Epub 2007 May 30.
UNLABELLED
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
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同义密码子使用偏好与多种生物学因素相关，如基因表达水平、基因长度、基因翻译起始信号、蛋白质氨基酸组成、蛋白质结构、tRNA丰度、突变频率和模式以及GC组成。密码子使用偏好的量化有助于理解生物的进化。密码子使用偏好分析流程对于基因组内和跨基因组的密码子使用偏好分析要求较高。在此，我们展示了一个CodonO网络服务器服务，作为一个用户友好的工具，用于实时进行跨基因组和基因组内的密码子使用偏好分析。该网络服务器可在http//www.sysbiology.org/CodonO获取。
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