Codon Evolution : Mechanisms and Models
Book Details
Format
Hardback or Cased Book
ISBN-10
019960116X
ISBN-13
9780199601165
Publisher
Oxford University Press
Imprint
Oxford University Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Feb 23rd, 2012
Print length
298 Pages
Weight
812 grams
Dimensions
25.10 x 19.20 x 2.00 cms
Product Classification:
Applied mathematicsTaxonomy & systematicsEvolutionGenetics (non-medical)
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The the first authoritative and up-to-date review of evolution at the codon level, investigating the mechanisms and particularities of coding regions using the latest statistical analyses and codon-based models of evolution.
Codon-based models of evolution are a relatively new addition to the toolkit of computational biologists, and in recent years remarkable progress has been made in this area. The study of evolution at the codon level captures information contained in both amino acid and synonymous DNA substitutions. By combining these two types of information, codon analyses are more powerful than those of either amino acid or DNA evolution alone. This is a clear benefit for most evolutionary analyses, including phylogenetic reconstruction, detection of selection, ancestral sequence reconstruction, and alignment of coding DNA. Despite the theoretical advantages of codon based models, their relative complexity delayed their widespread use. Only in recent years, when large-scale sequencing projects produced sufficient genomic data and computational power increased, did their usage become more common. In Codon Evolution, leading researchers in the field of molecular evolution provide the latest insights from codon-based analyses of genetic sequences. The first part of the book provides comprehensive coverage of the developments of various types of codon substitution models such as parametric and empirical models used in maximum likelihood as well as Bayesian frameworks. Subsequent chapters examine the use of codon models to infer selection and other applications of codon models to biological systems. The second part of the book focuses on codon usage bias. Both the underlying mechanisms as well as current methods to analyse codon usage bias are presented.
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