Isbn: 9781071601983 - statistical population genomics: 2090 (18 risultati)

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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access volume presents state-of-the-art inference methods in population genomics, focusing on data analysis based on rigorous statistical techniques. After introducing general concepts related to the biology of genomes and their evolution, the book covers state-of-the-art methods for the analysis of genomes in populations,including demography inference, population structure analysis and detection of selection, using both model-based inference and simulation procedures. Last but not least, it offers an overview of the current knowledge acquired by applying such methods to a large variety of eukaryotic organisms.Written in the highly successfulMethods in Molecular Biologyseries format, chapters include introductions to their respective topics, pointers to the relevant literature, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Authoritative and cutting-edge,Statistical Population Genomicsaimsto promote and ensure successful applications of population genomic methods to an increasing number of model systems and biological questions.…

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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access volume presents state-of-the-art inference methods in population genomics, focusing on data analysis based on rigorous statistical techniques. After introducing general concepts related to the biology of genomes and their evolution, the book covers state-of-the-art methods for the analysis of genomes in populations,including demography inference, population structure analysis and detection of selection, using both model-based inference and simulation procedures. Last but not least, it offers an overview of the current knowledge acquired by applying such methods to a large variety of eukaryotic organisms.Written in the highly successfulMethods in Molecular Biologyseries format, chapters include introductions to their respective topics, pointers to the relevant literature, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Authoritative and cutting-edge,Statistical Population Genomicsaimsto promote and ensure successful applications of population genomic methods to an increasing number of model systems and biological questions. 484 pp. Englisch.…

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes cutting-edge methods and protocols&nbspProvides step-by-step detail essential for reproducible results&nbspContains key notes and implementation advice from the expertsThis open access vo.…

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This open access volume presents state-of-the-art inference methods in population genomics, focusing on data analysis based on rigorous statistical techniques. After introducing general concepts related to the biology of genomes and their evolution, the book covers state-of-the-art methods for the analysis of genomes in populations, including demography inference, population structure analysis and detection of selection, using both model-based inference and simulation procedures. Last but not least, it offers an overview of the current knowledge acquired by applying such methods to a large variety of eukaryotic organisms. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, pointers to the relevant literature, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Authoritative and cutting-edge, Statistical Population Genomics aims to promote and ensure successful applications of population genomic methods to an increasing number of model systems and biological questions.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 484 pp. Englisch.…