Handbook of statistical genetics

著者

    • Balding, D. J.
    • Bishop, M.
    • Cannings, C. (Christopher)

書誌事項

Handbook of statistical genetics

edited by D.J. Balding, M. Bishop, C. Cannings

John Wiley & Sons, c2001

大学図書館所蔵 件 / 全47件

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

A truly groundbreaking volume, the Handbook of Statistical Genetics is a timely, informative and highly accessible reference for both statisticians interested in genetical applications and geneticists seeking a deeper understanding of statistical methods in their field. It is divided into six main sections, encompassing the entire field of statistics in genetics: - Bioinformatics - Population Genetics - Evolutionary Genetics - Genetic Epidemiology - Plant and Animal Genetics - Applications As the Human Genome Project (HGP) reaches its climax, with the complete sequence of mankind, science is fast approaching an exciting new stage in its ability to understand genetic forces in man. In parallel to the HGP are major sequencing efforts in other organisms, enabling us to understand broader questions in evolution and classification. This explosion of data has led to an increased need for sophisticated statistical, mathematical and computational tools to enable complex data collection, analysis and interpretation of the results. - Comprehensive coverage of the most pressing statistical issues in genetics. Offers a lucid introduction to newcomers, as well as providing invaluable information for more experienced researchers. - Each chapter is written by a leading international authority from the field. - Complemented by numerous examples, case studies, and references to useful resources on the web. This authoritative reference will be ideal for both students and researchers working in genetics, including statisticians, geneticists, molecular biologists, biochemists and computer scientists.

目次

  • Editors' Preface. List of Contributors. BIOINFORMATICS. Chromosome Maps (T. Speed and H. Zhao). Statistical Significance in Biological Sequence Comparison (W. Pearson and T. Wood). Probabilistic Models for the Study of Protein Evolution (J. Thorne and N. Goldman). Statistical Approaches in Eukaryotic Gene Prediction (V. Solovyev). Protein Structure (W. Taylor). POPULATION GENETICS. Mathematical Models in Population Genetics (C. Neuhauser). Coalescent Theory (M. Nordborg). Inference Under the Coalescent (M. Stephens). Inferences from Spatial Population Genetics (F. Rousset). Analysis of Population Subdivision (L. Excoffier). Linkage Disequilibrium and Recombination (R. Hudson)
  • EVOLUTIONARY GENETICS. Adaptive Molecular Evolution (Z. Yang). Genome Evolution (J. Brookfield). Virus Evolution (Y. Suzuki, et al.). Application of the Likelihood Function in Phylogenetic Analysis (J. Huelsenbeck and J. Bollback). Phylogenetics: Parsimony and Distance Methods (D. Penny and M. Hendy). GENETIC EPIDEMIOLOGY. Nonparametric Linkage (P. Holmans). The Transmission/Disequilibrium Test (W. Ewens and R. Spielman). Population Association (D. Clayton). Linkage Analysis (E. Thompson). ANIMAL AND PLANT GENETICS. Quantitative Trait Loci in Inbred Lines (R. Jansen). Mapping Quantitative Trait Loci in Outbred Pedigrees (I. Hoeschele). Inferences About Breeding Values (D. Gianola). Marker-Assisted Selection and Introgression (J. Whittaker). APPLICATIONS. Ethics in the Use of Statistics in Genetics (D. Beyleveld). Forensics (B. Weir). Pharmacogenetics (N. Schork, et al.). Statistical Basis of Risk Calculations (R. Chakraborty). Conservation Genetics (M. Beaumont). Genetic History of the Human Species (J. Relethford). Index

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