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Statistical Methods for QTL Mapping

Statistical Methods for QTL Mapping PDF Author: Zehua Chen
Publisher: CRC Press
ISBN: 143986831X
Category : Mathematics
Languages : en
Pages : 308

Book Description
While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. Statistical Methods for QTL Mapping brings together many recent statistical techniques that address the data complexity of QTL mapping. After introducing basic genetics topics an

Statistical Methods for QTL Mapping

Statistical Methods for QTL Mapping PDF Author: Zehua Chen
Publisher: CRC Press
ISBN: 143986831X
Category : Mathematics
Languages : en
Pages : 308

Book Description
While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. Statistical Methods for QTL Mapping brings together many recent statistical techniques that address the data complexity of QTL mapping. After introducing basic genetics topics an

A Guide to QTL Mapping with R/qtl

A Guide to QTL Mapping with R/qtl PDF Author: Karl W. Broman
Publisher: Springer
ISBN: 9781461417088
Category : Science
Languages : en
Pages : 400

Book Description
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 PDF Author: Ben Hui Liu
Publisher: CRC Press
ISBN: 1351414534
Category : Mathematics
Languages : en
Pages : 642

Book Description
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.

Statistical Genetics of Quantitative Traits

Statistical Genetics of Quantitative Traits PDF Author: Rongling Wu
Publisher: Springer Science & Business Media
ISBN: 038768154X
Category : Science
Languages : en
Pages : 371

Book Description
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 PDF Author: Joel Ira Weller
Publisher: CABI
ISBN: 1845937341
Category : Technology & Engineering
Languages : en
Pages : 288

Book Description
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.

Quantitative Trait Loci

Quantitative Trait Loci PDF Author: Nicola J. Camp
Publisher: Springer Science & Business Media
ISBN: 1592591760
Category : Medical
Languages : en
Pages : 362

Book Description
In Quantitative Trait Loci: Methods and Protocols, a panel of highly experienced statistical geneticists demonstrate in a step-by-step fashion how to successfully analyze quantitative trait data using a variety of methods and software for the detection and fine mapping of quantitative trait loci (QTL). Writing for the nonmathematician, these experts guide the investigator from the design stage of a project onwards, providing detailed explanations of how best to proceed with each specific analysis, to find and use appropriate software, and to interpret results. Worked examples, citations to key papers, and variations in method ease the way to understanding and successful studies. Among the cutting-edge techniques presented are QTDT methods, variance components methods, and the Markov Chain Monte Carlo method for joint linkage and segregation analysis.

Statistical Methods for QTL Mapping and Genomic Prediction of Multiple Traits and Environments

Statistical Methods for QTL Mapping and Genomic Prediction of Multiple Traits and Environments PDF Author:
Publisher:
ISBN: 9789462579361
Category :
Languages : en
Pages : 153

Book Description


A Guide to QTL Mapping with R/qtl

A Guide to QTL Mapping with R/qtl PDF Author: Karl W. Broman
Publisher: Springer Science & Business Media
ISBN: 0387921257
Category : Science
Languages : en
Pages : 401

Book Description
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 Methods for Expression Quantitative Trait Loci (EQTL) Mapping

Statistical Methods for Expression Quantitative Trait Loci (EQTL) Mapping PDF Author: Meng Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 164

Book Description


Principles of Statistical Genomics

Principles of Statistical Genomics PDF Author: Shizhong Xu
Publisher: Springer Science & Business Media
ISBN: 0387708065
Category : Science
Languages : en
Pages : 428

Book Description
Statistical genomics is a rapidly developing field, with more and more people involved in this area. However, a lack of synthetic reference books and textbooks in statistical genomics has become a major hurdle on the development of the field. Although many books have been published recently in bioinformatics, most of them emphasize DNA sequence analysis under a deterministic approach. Principles of Statistical Genomics synthesizes the state-of-the-art statistical methodologies (stochastic approaches) applied to genome study. It facilitates understanding of the statistical models and methods behind the major bioinformatics software packages, which will help researchers choose the optimal algorithm to analyze their data and better interpret the results of their analyses. Understanding existing statistical models and algorithms assists researchers to develop improved statistical methods to extract maximum information from their data. Resourceful and easy to use, Principles of Statistical Genomics is a comprehensive reference for researchers and graduate students studying statistical genomics.