Back to Search
Start Over
Enhanced effective codon numbers to understand codon usage bias.
- Source :
-
Biosystems . Oct2022, Vol. 220, pN.PAG-N.PAG. 1p. - Publication Year :
- 2022
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ENTROPY (Information theory)
*GENOMES
*INFORMATION theory
*GENES
Subjects
Details
- Language :
- English
- ISSN :
- 03032647
- Volume :
- 220
- Database :
- Academic Search Index
- Journal :
- Biosystems
- Publication Type :
- Academic Journal
- Accession number :
- 158748250
- Full Text :
- https://doi.org/10.1016/j.biosystems.2022.104734