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Journal articles
Ribo-seq enlightens codon usage bias
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.
Cited literature [24 references]
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01610054
Contributor : Eric Rivals <>
Submitted on : Wednesday, October 4, 2017 - 12:22:35 PM
Last modification on : Tuesday, March 17, 2020 - 2:25:27 AM
Contributor : Eric Rivals <>
Submitted on : Wednesday, October 4, 2017 - 12:22:35 PM
Last modification on : Tuesday, March 17, 2020 - 2:25:27 AM
File
Paulet-etal-dsw062-annote.pdf
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Distributed under a Creative Commons Attribution 4.0 International License
