Codon Evolution : Mechanisms and Models
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| Title: | Codon Evolution : Mechanisms and Models |
|---|---|
| Description: | 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. |
| Authors: | Gina M. Cannarozzi, Adrian Schneider |
| Resource Type: | eBook. |
| Subjects: | Evolutionary genetics--Mathematical models, Evolutionary genetics--Computer simulation, Molecular evolution--Mathematical models, Molecular evolution--Computer simulation |
| Categories: | SCIENCE / Life Sciences / Evolution |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Codon Evolution : Mechanisms and Models – Name: Abstract Label: Description Group: Ab Data: 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gina+M%2E+Cannarozzi%22">Gina M. Cannarozzi</searchLink><br /><searchLink fieldCode="AR" term="%22Adrian+Schneider%22">Adrian Schneider</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Evolutionary+genetics--Mathematical+models%22">Evolutionary genetics--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Evolutionary+genetics--Computer+simulation%22">Evolutionary genetics--Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Molecular+evolution--Mathematical+models%22">Molecular evolution--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Molecular+evolution--Computer+simulation%22">Molecular evolution--Computer simulation</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Life+Sciences+%2F+Evolution%22">SCIENCE / Life Sciences / Evolution</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 572.86 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Evolutionary genetics--Mathematical models Type: general – SubjectFull: Evolutionary genetics--Computer simulation Type: general – SubjectFull: Molecular evolution--Mathematical models Type: general – SubjectFull: Molecular evolution--Computer simulation Type: general Titles: – TitleFull: Codon Evolution : Mechanisms and Models Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gina M. Cannarozzi – PersonEntity: Name: NameFull: Adrian Schneider – PersonEntity: Name: NameFull: Gina M. Cannarozzi – PersonEntity: Name: NameFull: Adrian Schneider IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2012 – D: 04 M: 02 Type: profile Y: 2014 Identifiers: – Type: isbn-print Value: 9780199601165 – Type: isbn-electronic Value: 9780191624179 Titles: – TitleFull: Codon Evolution : Mechanisms and Models Type: main |
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