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MORE ABOUT THIS BOOK
Main description:
This book details the statistical concepts used in gene mapping, first in the experimental context of crosses of inbred lines and then in outbred populations, primarily humans. It presents elementary principles of probability and statistics, which are implemented by computational tools based on the R programming language to simulate genetic experiments and evaluate statistical analyses. Each chapter contains exercises, both theoretical and computational, some routine and others that are more challenging. The R programming language is developed in the text.
Contents:
Background and Preparations.- Background in Statistics.- to Experimental Genetics.- Fundamentals of Genetics: Inbreeding, Recombination, Random Mating, and Identity by Descent.- Experimental Genetics.- Testing for Linkage with a Single Marker.- Whole Genome Scans: The Significance Level.- Statistical Power and Confidence Regions.- Missing Data and Interval Mapping.- Advanced Topics.- Human Genetics.- Mapping Qualitative Traits in Humans Using Affected Sib Pairs.- Admixture Mapping.- Mapping Complex and Quantitative Traits with Data from Human Pedigrees.- Association Studies.- Inferring Haplotypes from Genotypes and Testing Association.
PRODUCT DETAILS
Publisher: Springer (Springer-Verlag New York Inc.)
Publication date: November, 2010
Pages: 334
Weight: 545g
Availability: Available
Subcategories: Genetics
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