Molecular Evolution and Phylogenetics
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| Title: | Molecular Evolution and Phylogenetics |
|---|---|
| Description: | During the last ten years, remarkable progress has occurred in the study of molecular evolution. Among the most important factors that are responsible for this progress are the development of new statistical methods and advances in computational technology. In particular, phylogenetic analysis of DNA or protein sequences has become a powerful tool for studying molecular evolution. Along with this developing technology, the application of the new statistical and computational methods has become more complicated and there is no comprehensive volume that treats these methods in depth. Molecular Evolution and Phylogenetics fills this gap and present various statistical methods that are easily accessible to general biologists as well as biochemists, bioinformatists and graduate students. The text covers measurement of sequence divergence, construction of phylogenetic trees, statistical tests for detection of positive Darwinian selection, inference of ancestral amino acid sequences, construction of linearized trees, and analysis of allele frequency data. Emphasis is given to practical methods of data analysis, and methods can be learned by working through numerical examples using the computer program MEGA2 that is provided. |
| Authors: | Masatoshi Nei, Sudhir Kumar |
| Resource Type: | eBook. |
| Subjects: | Molecular evolution, Molecular evolution--Statistical methods, Evolutionary genetics--Statistical methods, Phylogeny |
| Categories: | SCIENCE / Life Sciences / Evolution, SCIENCE / Life Sciences / Genetics & Genomics, SCIENCE / Life Sciences / Molecular Biology |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
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| Header | DbId: nlebk DbLabel: eBook Collection (EBSCOhost) An: 277646 RelevancyScore: 966 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 965.702392578125 |
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| Items | – Name: Title Label: Title Group: Ti Data: Molecular Evolution and Phylogenetics – Name: Abstract Label: Description Group: Ab Data: During the last ten years, remarkable progress has occurred in the study of molecular evolution. Among the most important factors that are responsible for this progress are the development of new statistical methods and advances in computational technology. In particular, phylogenetic analysis of DNA or protein sequences has become a powerful tool for studying molecular evolution. Along with this developing technology, the application of the new statistical and computational methods has become more complicated and there is no comprehensive volume that treats these methods in depth. Molecular Evolution and Phylogenetics fills this gap and present various statistical methods that are easily accessible to general biologists as well as biochemists, bioinformatists and graduate students. The text covers measurement of sequence divergence, construction of phylogenetic trees, statistical tests for detection of positive Darwinian selection, inference of ancestral amino acid sequences, construction of linearized trees, and analysis of allele frequency data. Emphasis is given to practical methods of data analysis, and methods can be learned by working through numerical examples using the computer program MEGA2 that is provided. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Masatoshi+Nei%22">Masatoshi Nei</searchLink><br /><searchLink fieldCode="AR" term="%22Sudhir+Kumar%22">Sudhir Kumar</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Molecular+evolution%22">Molecular evolution</searchLink><br /><searchLink fieldCode="DE" term="%22Molecular+evolution--Statistical+methods%22">Molecular evolution--Statistical methods</searchLink><br /><searchLink fieldCode="DE" term="%22Evolutionary+genetics--Statistical+methods%22">Evolutionary genetics--Statistical methods</searchLink><br /><searchLink fieldCode="DE" term="%22Phylogeny%22">Phylogeny</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Life+Sciences+%2F+Evolution%22">SCIENCE / Life Sciences / Evolution</searchLink><br /><searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Life+Sciences+%2F+Genetics+%26+Genomics%22">SCIENCE / Life Sciences / Genetics & Genomics</searchLink><br /><searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Life+Sciences+%2F+Molecular+Biology%22">SCIENCE / Life Sciences / Molecular Biology</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=277646 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 572.838 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Molecular evolution Type: general – SubjectFull: Molecular evolution--Statistical methods Type: general – SubjectFull: Evolutionary genetics--Statistical methods Type: general – SubjectFull: Phylogeny Type: general Titles: – TitleFull: Molecular Evolution and Phylogenetics Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Masatoshi Nei – PersonEntity: Name: NameFull: Sudhir Kumar – PersonEntity: Name: NameFull: Masatoshi Nei – PersonEntity: Name: NameFull: Sudhir Kumar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2000 – D: 04 M: 02 Type: profile Y: 2014 Identifiers: – Type: isbn-print Value: 9780195135855 – Type: isbn-print Value: 9780195135848 – Type: isbn-electronic Value: 9780195350517 – Type: isbn-electronic Value: 9780199881222 Titles: – TitleFull: Molecular Evolution and Phylogenetics Type: main |
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