Genetics and Analysis of Quantitative Traits

Genetics and Analysis of Quantitative Traits
Author: Michael Lynch
Publisher: Sinauer Associates Incorporated
Total Pages: 980
Release: 1998-01
Genre: Science
ISBN: 9780878934812

Professors Lynch and Walsh bring together the diverse array of theoretical and empirical applications of quantitative genetics in a work that is comprehensive and accessible to anyone with a rudimentary understanding of statistics and genetics.

Statistical Genetics of Quantitative Traits

Statistical Genetics of Quantitative Traits
Author: Rongling Wu
Publisher: Springer Science & Business Media
Total Pages: 371
Release: 2007-07-17
Genre: Science
ISBN: 038768154X

This book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of the DNA-based marker and phenotypic data that arise in agriculture, forestry, experimental biology, and other fields. It concentrates on the linkage analysis of markers, map construction and quantitative trait locus (QTL) mapping, and assumes a background in regression analysis and maximum likelihood approaches. The strength of this book lies in the construction of general models and algorithms for linkage analysis, as well as in QTL mapping in any kind of crossed pedigrees initiated with inbred lines of crops.

Quantitative Trait Loci Analysis in Animals

Quantitative Trait Loci Analysis in Animals
Author: Joel Ira Weller
Publisher: CABI
Total Pages: 288
Release: 2009
Genre: Technology & Engineering
ISBN: 1845937341

Quantitative Trait Loci (QTL) is a topic of major agricultural significance for efficient livestock production. This book covers various statistical methods that have been used or proposed for detection and analysis of QTL and marker-and gene-assisted selection in animal genetics and breeding.

Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research

Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research
Author: Robert T. Gerlai
Publisher: Academic Press
Total Pages: 710
Release: 2018-04-24
Genre: Science
ISBN: 0128041161

Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research presents the most exciting molecular and recombinant DNA techniques used in the analysis of brain function and behavior, a critical piece of the puzzle for clinicians, scientists, course instructors and advanced undergraduate and graduate students. Chapters examine neuroinformatics, genetic and neurobehavioral databases and data mining, also providing an analysis of natural genetic variation and principles and applications of forward (mutagenesis) and reverse genetics (gene targeting). In addition, the book discusses gene expression and its role in brain function and behavior, along with ethical issues in the use of animals in genetics testing. Written and edited by leading international experts, this book provides a clear presentation of the frontiers of basic research as well as translationally relevant techniques that are used by neurobehavioral geneticists. - Focuses on new techniques, including electrocorticography, functional mapping, stereo EEG, motor evoked potentials, optical coherence tomography, magnetoencephalography, laser evoked potentials, transmagnetic stimulation, and motor evoked potentials - Presents the most exciting molecular and recombinant DNA techniques used in the analysis of brain function and behavior - Written and edited by leading international experts

Genomics in Aquaculture

Genomics in Aquaculture
Author: Simon A MacKenzie
Publisher: Academic Press
Total Pages: 306
Release: 2016-07-29
Genre: Technology & Engineering
ISBN: 0128016906

Genomics in Aquaculture is a concise, must-have reference that describes current advances within the field of genomics and their applications to aquaculture. Written in an accessible manner for anyone—non-specialists to experts alike—this book provides in-depth coverage of genomics spanning from genome sequencing, to transcriptomics and proteomics. It provides, for ease of learning, examples from key species most relevant to current intensive aquaculture practice. Its coverage of minority species that have a specific biological interest (e.g., Pleuronectiformes) makes this book useful for countries that are developing such species. It is a robust, practical resource that covers foundational, functional, and applied aspects of genomics in aquaculture, presenting the most current information in a field of research that is rapidly growing. - Provides the latest scientific methods and technologies to maximize efficiencies for healthy fish production, with summary tables for quick reference - Offers an extended glossary of technical and methodological terms to help readers better understand key biological concepts - Describes state-of-the-art technologies, such as transcriptomics and epigenomics, currently under development for future perspective of the field - Covers minority species that have a specific biological interest (e.g., Pleuronectiformes), making the book useful to countries developing such species

Genome-Wide Association Studies and Genomic Prediction

Genome-Wide Association Studies and Genomic Prediction
Author: Cedric Gondro
Publisher: Humana Press
Total Pages: 0
Release: 2013-06-12
Genre: Science
ISBN: 9781627034463

With the detailed genomic information that is now becoming available, we have a plethora of data that allows researchers to address questions in a variety of areas. Genome-wide association studies (GWAS) have become a vital approach to identify candidate regions associated with complex diseases in human medicine, production traits in agriculture, and variation in wild populations. Genomic prediction goes a step further, attempting to predict phenotypic variation in these traits from genomic information. Genome-Wide Association Studies and Genomic Prediction pulls together expert contributions to address this important area of study. The volume begins with a section covering the phenotypes of interest as well as design issues for GWAS, then moves on to discuss efficient computational methods to store and handle large datasets, quality control measures, phasing, haplotype inference, and imputation. Later chapters deal with statistical approaches to data analysis where the experimental objective is either to confirm the biology by identifying genomic regions associated to a trait or to use the data to make genomic predictions about a future phenotypic outcome (e.g. predict onset of disease). As part of the Methods in Molecular Biology series, chapters provide helpful, real-world implementation advice.

A Guide to QTL Mapping with R/qtl

A Guide to QTL Mapping with R/qtl
Author: Karl W. Broman
Publisher: Springer
Total Pages: 400
Release: 2011-12-02
Genre: 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

Statistical Genomics

Statistical Genomics
Author: Ben Hui Liu
Publisher: CRC Press
Total Pages: 642
Release: 2017-11-22
Genre: Mathematics
ISBN: 1351414534

Genomics, the mapping of the entire genetic complement of an organism, is the new frontier in biology. This handbook on the statistical issues of genomics covers current methods and the tried-and-true classical approaches.

Molecular Plant Breeding

Molecular Plant Breeding
Author: Yunbi Xu
Publisher: CABI
Total Pages: 756
Release: 2010
Genre: Science
ISBN: 1845936248

Recent advances in plant genomics and molecular biology have revolutionized our understanding of plant genetics, providing new opportunities for more efficient and controllable plant breeding. Successful techniques require a solid understanding of the underlying molecular biology as well as experience in applied plant breeding. Bridging the gap between developments in biotechnology and its applications in plant improvement, Molecular Plant Breeding provides an integrative overview of issues from basic theories to their applications to crop improvement including molecular marker technology, gene mapping, genetic transformation, quantitative genetics, and breeding methodology.