Handbook of statistical genetics / editors: D. J. Balding, M. Bishop, C. Cannings

Colaborador(es): Balding, David J [editor literario] | Bishop, Martin [editor literario] | Cannings, Chris [editor literario]Tipo de material: TextoTextoDetalles de publicación: West Sussex : John Wiley & Sons, 2007 Edición: 3rd ed.Descripción: 2 v. : il. ; 26 cmISBN: 978-0-470-05830-5Tema(s): Genética | Genética cuantitativaResumen: The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the past three years. In particular the modeling of genetic networks has advanced considerably via the evolution of microarray analysis. As a consequence the 3rd edition of the handbook contains a much expanded section on Network Modeling, including 5 new chapters covering metabolic networks, graphical modeling and inference and simulation of pedigrees and genealogies. Other chapters new to the 3rd edition include Human Population Genetics, Genome-wide Association Studies, Family-based Association Studies, Pharmacogenetics, Epigenetics, Ethic and Insurance. As with the second Edition, the Handbook includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between the chapters, tying the different areas together. With heavy use of up-to-date examples, real-life case studies and references to web-based resources, this continues to be must-have reference in a vital area of research.Resumen: Índice: List of contributors. Editor's Preface to the Third Edition. Glossary of Terms. Abbreviations and Acronyms. Chromosome Maps. Statistical Significance in Biological Sequence. Bayesian Methods in Biological Sequence Analysis. Statistical Approaches in Eukaryotic Gene Prediction. Comparative Genomics. Analysis of Microarray Gene Expression Data. Inferences from microarray data. Bayesian methods for microarray data. eQTL analyses. Protein Structure. Metabonomics. Adaptive Molecular Evolution. Genome Evolution. Probabilistic Models for the Study of Protein Evolution. Application of the Likelihood Function in Ph... Etc.
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The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the past three years. In particular the modeling of genetic networks has advanced considerably via the evolution of microarray analysis. As a consequence the 3rd edition of the handbook contains a much expanded section on Network Modeling, including 5 new chapters covering metabolic networks, graphical modeling and inference and simulation of pedigrees and genealogies. Other chapters new to the 3rd edition include Human Population Genetics, Genome-wide Association Studies, Family-based Association Studies, Pharmacogenetics, Epigenetics, Ethic and Insurance. As with the second Edition, the Handbook includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between the chapters, tying the different areas together. With heavy use of up-to-date examples, real-life case studies and references to web-based resources, this continues to be must-have reference in a vital area of research.

Índice: List of contributors. Editor's Preface to the Third Edition. Glossary of Terms. Abbreviations and Acronyms. Chromosome Maps. Statistical Significance in Biological Sequence. Bayesian Methods in Biological Sequence Analysis. Statistical Approaches in Eukaryotic Gene Prediction. Comparative Genomics. Analysis of Microarray Gene Expression Data. Inferences from microarray data. Bayesian methods for microarray data. eQTL analyses. Protein Structure. Metabonomics. Adaptive Molecular Evolution. Genome Evolution. Probabilistic Models for the Study of Protein Evolution. Application of the Likelihood Function in Ph... Etc.

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