Mathematical and Statistical Methods for Genetic Analysis

Mathematical and Statistical Methods for Genetic Analysis - Statistics for Biology and Health

2nd Edition

Hardback (28 Mar 2002)

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Publisher's Synopsis

During the past decade, geneticists have cloned scores of Mendelian disease genes and constructed a rough draft of the entire human genome. The unprecedented insights into human disease and evolution offered by mapping, cloning, and sequencing will transform medicine and agriculture. This revolution depends vitally on the contributions of applied mathematicians, statisticians, and computer scientists. Mathematical and Statistical Methods for Genetic Analysis is written to equip students in the mathematical sciences to understand and model the epidemiological and experimental data encountered in genetics research. Mathematical, statistical, and computational principles relevant to this task are developed hand in hand with applications to population genetics, gene mapping, risk prediction, testing of epidemiological hypotheses, molecular evolution, and DNA sequence analysis. Many specialized topics are covered that are currently accessible only in journal articles. This second edition expands the original edition by over 100 pages and includes new material on DNA sequence analysis, diffusion processes, binding domain identification, Bayesian estimation of haplotype frequencies, case-control association studies, the gamete competition model, QTL mapping and factor analysis, the Lander-Green-Kruglyak algorithm of pedigree analysis, and codon and rate variation models in molecular phylogeny. Sprinkled throughout the chapters are many new problems.

Book information

ISBN: 9780387953892
Publisher: Springer New York
Imprint: Springer
Pub date:
Edition: 2nd Edition
DEWEY: 576.50151
DEWEY edition: 21
Language: English
Number of pages: 361
Weight: 1610g
Height: 234mm
Width: 156mm
Spine width: 22mm