Abstract
Summary: Correspondence analysis of codon usage data is a widely used method in sequence analysis, but the variability in amino acid composition between proteins is a confounding factor when one wants to analyse synonymous codon usage variability. A simple and natural way to cope with this problem is to use within-group correspondence analysis. There is, however, no user-friendly implementation of this method available for genomic studies. Our motivation was to provide to the community a Web facility to easily study synonymous codon usage on a subset of data available in public genomic databases. © Oxford University Press 2004; all rights reserved.
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CITATION STYLE
Charif, D., Thioulouse, J., Lobry, J. R., & Perrière, G. (2005). Online synonymous codon usage analyses with the ade4 and seqinR packages. Bioinformatics, 21(4), 545–547. https://doi.org/10.1093/bioinformatics/bti037
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