Computational Biology: The Search for Influential Genes

Frommlet, Florian; Bogdan, Małgorzata; Ramsey, David

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.

Details

Published by: Springer

Publication Date: 2019-03-20

Format: Paperback

ISBN-13: 9781447173809

DOI: 10.1007/978-1-4471-5310-8

Dimensions: 235cm x155cm

Pages: 222