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Statistical Genetics of Quantitative Traits: Linkage, Maps and QTL (Statistics for Biology and Health)
 
 
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Statistical Genetics of Quantitative Traits: Linkage, Maps and QTL (Statistics for Biology and Health) (Hardcover)

~ (Author), Changxing Ma (Author), (Author)
Key Phrases: linkage analysis, outbred pedigrees, recombinant inbred lines, Revisit Example, Special Considerations, Controlled Crosses (more...)
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Frequently Bought Together

Statistical Genetics of Quantitative Traits: Linkage, Maps and QTL (Statistics for Biology and Health) + The Statistics of Gene Mapping (Statistics for Biology and Health) + Mathematical and Statistical Methods for Genetic Analysis
Price For All Three: $238.22

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  • This item: Statistical Genetics of Quantitative Traits: Linkage, Maps and QTL (Statistics for Biology and Health) by Rongling Wu

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  • The Statistics of Gene Mapping (Statistics for Biology and Health) by David Siegmund

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Product Description

The book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of DNA-based marker and phenotypic data that arise in agriculture, forrestry, experimental biology, and other fields. It concentrates on the linkage analysis of markers, map construction and quantitative trait locus (QTL) mapping and assumes a background in regression analysis and maximum likelihood approaches. The strengths of this book lie in the construction of general models and algorithms for linkage analysis and QTL mapping in any kind of crossed pedigrees initiated with inbred lines of crops and plant and animal model systems or outbred lines in forest trees and wildlife species. The book includes a detailed description of each approach and the step-by-step demonstration of live-example analyses designed to explain the utilization and usefulness of statistical methods. The book also includes exercise sets and computer codes for all the analyses used. This book can serve as a textbook for graduates and senior undergraduates in genetics, agronomy, forest biology, plant breeding and animal sciences. It will also be useful to researchers and other professionals in the areas of statistics, biology and agriculture.

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