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- W2587296543 abstract "Codon usage is biased between lowly and highly expressed genes in a genome-specific manner. This universal bias has been well assessed in some unicellular species, but remains problematic to assess in more complex species. We propose a new method to compute codon usage bias based on genome wide translational data. A new technique based on sequencing of ribosome protected mRNA fragments (Ribo-seq) allowed us to rank genes and compute codon usage bias with high precision for a great variety of species, including mammals. Genes ranking using Ribo-Seq data confirms the influence of the tRNA pool on codon usage bias and shows a decreasing bias in multicellular species. Ribo-Seq analysis also makes possible to detect preferred codons without information on genes function." @default.
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- W2587296543 date "2017-02-07" @default.
- W2587296543 modified "2023-10-18" @default.
- W2587296543 title "Ribo-seq enlightens codon usage bias" @default.
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- W2587296543 doi "https://doi.org/10.1093/dnares/dsw062" @default.
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