Phenotypes and Genotypes

The Search for Influential Genes

Nonfiction, Science & Nature, Science, Biological Sciences, Physiology, Computers, Advanced Computing, Computer Science
Cover of the book Phenotypes and Genotypes by Małgorzata Bogdan, David Ramsey, Florian Frommlet, Springer London
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Author: Małgorzata Bogdan, David Ramsey, Florian Frommlet ISBN: 9781447153108
Publisher: Springer London Publication: February 12, 2016
Imprint: Springer Language: English
Author: Małgorzata Bogdan, David Ramsey, Florian Frommlet
ISBN: 9781447153108
Publisher: Springer London
Publication: February 12, 2016
Imprint: Springer
Language: English

This timely text presents a comprehensive guide to genetic association, a new and rapidly expanding field that aims to elucidate how our genetic code (genotypes) influences the traits we possess (phenotypes). The book provides a detailed review of methods of gene mapping used in association with experimental crosses, as well as genome-wide association studies. Emphasis is placed on model selection procedures for analyzing data from large-scale genome scans based on specifically designed modifications of the Bayesian information criterion. Features: presents a thorough introduction to the theoretical background to studies of genetic association (both genetic and statistical); reviews the latest advances in the field; illustrates the properties of methods for mapping quantitative trait loci using computer simulations and the analysis of real data; discusses open challenges; includes an extensive statistical appendix as a reference for those who are not totally familiar with the fundamentals of statistics.

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This timely text presents a comprehensive guide to genetic association, a new and rapidly expanding field that aims to elucidate how our genetic code (genotypes) influences the traits we possess (phenotypes). The book provides a detailed review of methods of gene mapping used in association with experimental crosses, as well as genome-wide association studies. Emphasis is placed on model selection procedures for analyzing data from large-scale genome scans based on specifically designed modifications of the Bayesian information criterion. Features: presents a thorough introduction to the theoretical background to studies of genetic association (both genetic and statistical); reviews the latest advances in the field; illustrates the properties of methods for mapping quantitative trait loci using computer simulations and the analysis of real data; discusses open challenges; includes an extensive statistical appendix as a reference for those who are not totally familiar with the fundamentals of statistics.

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