Book Details
Format
Paperback / Softback
ISBN-10
0198529961
ISBN-13
9780198529965
Publisher
Oxford University Press
Imprint
Oxford University Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 9th, 2004
Print length
296 Pages
Weight
480 grams
Dimensions
24.60 x 17.00 x 1.60 cms
Product Classification:
Epidemiology & medical statisticsMedical geneticsProbability & statisticsEvolution
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Ksh 16,900.00
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Authored by leading experts, this seminal text presents an account of coalescent theory, which is a central concept in the study of genetic sequence variation observed in a population. It contains many examples and illustrations and is for a graduate course in statistics, population, molecular and medical genetics, bioscience and medicine.
Coalescent theory is a central concept in the study of genetic sequence variation that probabilistically describes the genealogy relating the sampled sequences. In this text, besides fulfilling the glaring need for such a book, the authors present this theory in a straightforward and elementary manner and describe the statistical and computational methods used in modelling and analyzing genetic sequence variation.Rich in examples and illustrations the book covers basic concepts, complications arising from geographical structure and recombination before considering aspects of statistical inference based on these models. The book ends with chapters on Gene Mapping, which combines sequence variation data with phenotypic data (such as disease) to define areas of the genome where genes are responsible for the trait, and Human Evolution, a research area that is experiencing a renaissance due to the enormous amounts of data produced in molecular studies. Authored by leading experts, this seminal text presents a straightforward and elementary account of coalescent theory, which is a central concept in the study of genetic sequence variation observed in a population. It is highly suitable for a graduate course in statistics, population, molecular and medical genetics, bioscience and medicine and students studying the evolution of human population and disease, and will be an invaluable reference for bioscientists and statisticians in the pharmaceutical industry and academia
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