Book Description
A concise introduction to genetic linkage map construction for biological researchers, combining theory with practical exercises and problem-solving tips.
Author : J. W. Van Ooijen
Publisher : Cambridge University Press
Page : 171 pages
File Size : 24,58 MB
Release : 2013-08-08
Category : Mathematics
ISBN : 1107013216
A concise introduction to genetic linkage map construction for biological researchers, combining theory with practical exercises and problem-solving tips.
Author : National Research Council
Publisher : National Academies Press
Page : 128 pages
File Size : 21,97 MB
Release : 1988-01-01
Category : Science
ISBN : 0309038405
There is growing enthusiasm in the scientific community about the prospect of mapping and sequencing the human genome, a monumental project that will have far-reaching consequences for medicine, biology, technology, and other fields. But how will such an effort be organized and funded? How will we develop the new technologies that are needed? What new legal, social, and ethical questions will be raised? Mapping and Sequencing the Human Genome is a blueprint for this proposed project. The authors offer a highly readable explanation of the technical aspects of genetic mapping and sequencing, and they recommend specific interim and long-range research goals, organizational strategies, and funding levels. They also outline some of the legal and social questions that might arise and urge their early consideration by policymakers.
Author : R.L. Phillips
Publisher : Springer Science & Business Media
Page : 508 pages
File Size : 44,49 MB
Release : 2013-03-14
Category : Science
ISBN : 9401598150
With the new techniques described in this volume, a new gene can be placed on the linkage map within only a few days. Leading researchers have updated the earlier edition to include the latest versions of DNA-based marker maps for a variety of important crops.
Author : Jurg Ott
Publisher : JHU Press
Page : 418 pages
File Size : 47,18 MB
Release : 1999-04-16
Category : Medical
ISBN : 9780801861406
Introduction and basic genetic principles; Genetic loci genetic polymorphisms; Aspects of statistical inference; Basics of linkage analysis; The informativeness of family data; Multipoint linkage analysis; Penetrance; Quantitative phenotypes; Numerical and computerized methods; Variability of the recombination fraction; Inconsistencies; Linkage analysis with mendelian disease loci; Nonparametric methods; Two-locus inheritance; Complex traits.
Author : J. W. Van Ooijen
Publisher : Cambridge University Press
Page : 171 pages
File Size : 14,2 MB
Release : 2013-08-08
Category : Science
ISBN : 1107292301
Genetic linkage maps are an increasingly important tool in both fundamental and applied research, enabling the study and deployment of genes that determine important biological traits. This concise introduction to genetic mapping in species with disomic inheritance enables life science graduate students and researchers to use mapping software to produce more reliable results. After a brief refresher on meiosis and genetic recombination, the steps in the map construction procedure are described, with explanations of the computations involved. The emphasis throughout is on the practical application of the methods described; detailed mathematical formulae are avoided and exercises are included to help readers consolidate their understanding. A chapter on recognising and solving problems provides valuable guidance for dealing with real-life situations. An extensive chapter dedicated to the more complex situation of outbreeding species offers a unique insight into the approach required for many economically important and model species, both plants and animals.
Author : David Siegmund
Publisher : Springer Science & Business Media
Page : 337 pages
File Size : 27,61 MB
Release : 2007-05-27
Category : Medical
ISBN : 0387496866
This book details the statistical concepts used in gene mapping, first in the experimental context of crosses of inbred lines and then in outbred populations, primarily humans. It presents elementary principles of probability and statistics, which are implemented by computational tools based on the R programming language to simulate genetic experiments and evaluate statistical analyses. Each chapter contains exercises, both theoretical and computational, some routine and others that are more challenging. The R programming language is developed in the text.
Author : Karl W. Broman
Publisher : Springer
Page : 400 pages
File Size : 19,32 MB
Release : 2011-12-02
Category : Science
ISBN : 9781461417088
Comprehensive discussion of QTL mapping concepts and theory Detailed instructions on the use of the R/qtl software, the most featured and flexible software for QTL mapping Two case studies illustrate QTL analysis in its entirety
Author : Florian Frommlet
Publisher : Springer
Page : 232 pages
File Size : 17,89 MB
Release : 2016-02-12
Category : Computers
ISBN : 1447153103
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.
Author : Hans D. Daetwyler
Publisher : Frontiers Media SA
Page : 173 pages
File Size : 38,17 MB
Release : 2020-01-28
Category :
ISBN : 288963390X
Author : David J. Balding
Publisher : John Wiley & Sons
Page : 1616 pages
File Size : 48,20 MB
Release : 2008-06-10
Category : Science
ISBN : 9780470997628
The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the past three years. In particular the modeling of genetic networks has advanced considerably via the evolution of microarray analysis. As a consequence the 3rd edition of the handbook contains a much expanded section on Network Modeling, including 5 new chapters covering metabolic networks, graphical modeling and inference and simulation of pedigrees and genealogies. Other chapters new to the 3rd edition include Human Population Genetics, Genome-wide Association Studies, Family-based Association Studies, Pharmacogenetics, Epigenetics, Ethic and Insurance. As with the second Edition, the Handbook includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between the chapters, tying the different areas together. With heavy use of up-to-date examples, real-life case studies and references to web-based resources, this continues to be must-have reference in a vital area of research. Edited by the leading international authorities in the field. David Balding - Department of Epidemiology & Public Health, Imperial College An advisor for our Probability & Statistics series, Professor Balding is also a previous Wiley author, having written Weight-of-Evidence for Forensic DNA Profiles, as well as having edited the two previous editions of HSG. With over 20 years teaching experience, he’s also had dozens of articles published in numerous international journals. Martin Bishop – Head of the Bioinformatics Division at the HGMP Resource Centre As well as the first two editions of HSG, Dr Bishop has edited a number of introductory books on the application of informatics to molecular biology and genetics. He is the Associate Editor of the journal Bioinformatics and Managing Editor of Briefings in Bioinformatics. Chris Cannings – Division of Genomic Medicine, University of Sheffield With over 40 years teaching in the area, Professor Cannings has published over 100 papers and is on the editorial board of many related journals. Co-editor of the two previous editions of HSG, he also authored a book on this topic.