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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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