Codon Usage Bias Measured Through Entropy Approach

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dc.creatorSadovsky, Michael G.
dc.creatorPutintzeva, Julia A.
dc.date2007-06-14
dc.date.accessioned2026-07-07T08:10:05Z
dc.date.available2026-07-07T08:10:05Z
dc.descriptionCodon usage bias measure is defined through the mutual entropy calculation of real codon frequency distribution against the quasi-equilibrium one. This latter is defined in three manners: (1) the frequency of synonymous codons is supposed to be equal (i.e., the arithmetic mean of their frequencies); (2) it coincides to the frequency distribution of triplets; and, finally, (3) the quasi-equilibrium frequency distribution is defined as the expected frequency of codons derived from the dinucleotide frequency distribution. The measure of bias in codon usage is calculated for 125 bacterial genomes.
dc.description15 pages, 1 figure
dc.identifierhttps://arxiv.org/abs/0706.2077
dc.identifierhttp://arxiv.org/abs/0706.2077
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/131735
dc.subjectGenomics
dc.titleCodon Usage Bias Measured Through Entropy Approach
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