ArticleEURASIP journal on bioinformatics & systems biology2007
Variation in the correlation of G + C composition with synonymous codon usage bias among bacteria.
Article in EURASIP journal on bioinformatics & systems biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- GC content mismatch of transgene destabilizes RNA virus genomes.Journal of virology · 2026Article
- Measure of synonymous codon usage diversity among genes in bacteria.BMC bioinformatics · 2009Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
G + C composition at the third codon position (GC3) is widely reported to be correlated with synonymous codon usage bias. However, no quantitative attempt has been made to compare the extent of this correlation among different genomes. Here, we applied Shannon entropy from information theory to measure the degree of GC3 bias and that of synonymous codon usage bias of each gene. The strength of the correlation of GC3 with synonymous codon usage bias, quantified by a correlation coefficient, varied widely among bacterial genomes, ranging from -0.07 to 0.95. Previous analyses suggesting that the relationship between GC3 and synonymous codon usage bias is independent of species are thus inconsistent with the more detailed analyses obtained here for individual species.
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Registered trials
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