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In Quantitative Trait Loci: Methods and Protocols, a panel of
highly experienced statistical geneticists demonstrate in a
step-by-step fashion how to successfully analyze quantitative trait
data using a variety of methods and software for the detection and
fine mapping of quantitative trait loci (QTL). Writing for the
nonmathematician, these experts guide the investigator from the
design stage of a project onwards, providing detailed explanations
of how best to proceed with each specific analysis, to find and use
appropriate software, and to interpret results. Worked examples,
citations to key papers, and variations in method ease the way to
understanding and successful studies. Among the cutting-edge
techniques presented are QTDT methods, variance components methods,
and the Markov Chain Monte Carlo method for joint linkage and
segregation analysis.
In Quantitative Trait Loci: Methods and Protocols, a panel of
highly experienced statistical geneticists demonstrate in a
step-by-step fashion how to successfully analyze quantitative trait
data using a variety of methods and software for the detection and
fine mapping of quantitative trait loci (QTL). Writing for the
nonmathematician, these experts guide the investigator from the
design stage of a project onwards, providing detailed explanations
of how best to proceed with each specific analysis, to find and use
appropriate software, and to interpret results. Worked examples,
citations to key papers, and variations in method ease the way to
understanding and successful studies. Among the cutting-edge
techniques presented are QTDT methods, variance components methods,
and the Markov Chain Monte Carlo method for joint linkage and
segregation analysis.
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