£109.97

Elsevier Multivariate Analyses of Codon Usage Biases (Statistics for Bioinformatics)

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Description

A complete case study with all coding sequences from the bacteria Borrellia burgdorferi illustrates how multivariate analyses reveals evolutionary mechanisms acting at the molecular level. They are either mutationnal (symmetric and asymmetric directionnal mutation pressure) or selective (selection against head-on collisions or linked to gene expressivity or subcellular location). The main objective is to provide a complete and reproducible example of the power of multivariate analyses in this application field Review The distribution of the 64 codons is not uniform among coding sequences so that multivariate analyses provide an efficient way to reveal latent factors at the origin of the variability of codon usage About the Author Dr. Jean R. Lobry is a professor-researcher at Claude University Bernard Lyon as university lecturer since 1992 and then as a university professor in 2006

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
25 November 2018
Listed Since
18 July 2018

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