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Quantitative Trait Loci: Methods and Protocols (Methods in Molec
US $12.71
ApproximatelyS$ 16.44
Condition:
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
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eBay item number:315201759564
Item specifics
- Condition
- Title
- Quantitative Trait Loci: Methods and Protocols (Methods in Molec
- ISBN
- 9780896039278
About this product
Product Identifiers
Publisher
Humana Press
ISBN-10
0896039277
ISBN-13
9780896039278
eBay Product ID (ePID)
2213678
Product Key Features
Number of Pages
Xii, 360 Pages
Language
English
Publication Name
Quantitative Trait Loci : Methods and Protocols
Publication Year
2002
Subject
Life Sciences / Genetics & Genomics, Genetics
Type
Textbook
Subject Area
Science, Medical
Series
Methods in Molecular Biology Ser.
Format
Hardcover
Dimensions
Item Weight
24.8 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2001-039828
Reviews
"...for nonstatistical students, this well-designed book provides 'detailed explanations of how best to proceed with each specific analysis, to find and use appropriate software, and to interpret results," as advertised on its back cover." - American Journal of Human Biology
Dewey Edition
21
Series Volume Number
195
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
576.5/07/27
Table Of Content
Mapping Quantitative Trait Loci in Humans.- Association Studies.- Parametric Linkage Analysis.- Nonparametric Linkage Analysis.- Nonparametric Linkage Analysis.- Linkage and Association.- Joint Linkage and Segregation Analysis Using Markov Chain Monte Carlo Methods.- Mapping Quantitative Trait Loci in Rodents.- Approaches to the Analysis of QTL Data in Mice, Using the Nonobese Diabetic Mouse as an Example.- Experimental Designs for QTL Fine Mapping in Rodents.- Approaches to the Analysis of Complex Quantitative Phenotypes and Marker Map Construction Based on the Analysis of Rat Models of Hypertension.- Case Study of QTL Analysis in a Mouse Model of Asthma.- Mapping Quantitative Trait Loci in Agricultural Settings.- QTL Analysis in Plants.- QTL Analysis in Livestock.
Synopsis
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., The genetic analysis of quantitative traits in humans began in the early 20th century and now the analytical methods are being refined at an astonishing rate and are being used to analyse comparative qualitative traits and in conjunction with whole-genome sequencing technologies, are yielding exciting results both in agriculture and experimental organisms and in the study of disease. This book covers the latest methodologies available in three main areas; human traits (investigation of QTLs underlying human disease), experimental organisms (as models for human disease), and agriculture (for crop and livestock improvement). Each chapter also includes a detailed description of how to proceed with a specific analysis, including the use of appropriate computer software and programs and where to find them, a guide to interpretation of the results, and worked examples. This book will serve both experienced investigators and students alike, who wish to gain an overview and expertise at the state-of-the-art in QTL analysis.
LC Classification Number
RB155-155.8
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