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• W4285403938 abstract "Codon usage bias is a well recognized phenomenon but the relative influence of its major causes: G+C content, mutational biases, and selection, are often difficult to disentangle. This paper presents methods to calculate modified effective codon numbers that allow the investigation of the sources of codon bias and how genes or organisms have their codon biases shaped. In particular, it demonstrates that variation in codon usage bias across organisms is likely driven more by likely mutational forces while the variation in codon usage bias within genomes is likely driven by codon selectional forces." @default.
• W4285403938 created "2022-07-14" @default.
• W4285403938 creator A5048530830 @default.
• W4285403938 date "2022-10-01" @default.
• W4285403938 modified "2023-09-30" @default.
• W4285403938 title "Enhanced effective codon numbers to understand codon usage bias" @default.
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• W4285403938 doi "https://doi.org/10.1016/j.biosystems.2022.104734" @default.
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