Mathematical and Statistical Methods for Genetic Analysis

Name: Mathematical and Statistical Methods for Genetic Analysis
Brand: Springer-Verlag New York Inc.
SKU: 9780387953892
Price: 646.33 RON
Availability: InStock

Autor: Kenneth Lange

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Legare: Copertă tare

Editura: Springer-Verlag New York Inc.

Disponibilitate: În depozitul extern

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During the past decade, geneticists have cloned scores of Mendelian disease genes and constructed a...

Informații despre carte

Autor

Kenneth Lange

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2003

Pagini

370

EAN

9780387953892

ISBN

0387953892

Enbook ID

01384382

Editura

Springer-Verlag New York Inc.

Greutate

1610

Dimensiuni

156 x 234 x 26

Descriere completă

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.

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