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Synopsis
Aimed at graduate students and researchers, this book introduces the basic concepts and methods used in the statistical analysis and modeling of the DNA-based marker and phenotypic data that arise in agriculture, forestry, experimental biology, and other fields. Assuming 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 and QTL mapping in any kind of crossed pedigrees initiated with inbred lines of crops. It also provides plant and animal model systems for outbred lines in forest trees and wildlife species. The book includes a detailed description of each approach and the step-by-step demonstration of live-example analyses designed to explain the utilization and usefulness of statistical methods.
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Présentation de l'éditeur
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.
Revue de presse
"...[T]his is an ideal book for a young researcher looking for an exciting and developing field to get into." --International Statistics Review, April 2008
"[I]t is a big help and guidance in the field of statistical developments for genetic mapping, synthesised all in one volume helping to build a bridge between genetics and statistics." --Lutz Bunger, Genetic Research, 89, 2007
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Statistical Genetics of Quantitative Traits (Paperback)
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Springer-Verlag New York Inc., New York, NY, 2010
ISBN 10 : 1441919120
ISBN 13 : 9781441919120
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Paperback. Etat : new. Paperback. Most traits in nature and of importance to agriculture are quantitatively inherited. These traits are di?cult to study due to the complex nature of their inheritance. However, recent developments of genomic technologies provide a revolutionary means for unraveling the secrets of genetic variation in quantitative traits. Genomic te- nologies allow the molecular characterization of polymorphic markers throughout the entire genome that are then used to identify and map the genes or quantitative trait loci (QTLs) underlying a quantitative trait based on linkage analysis. Statistical analysis is a crucial tool for analyzing genome data, which are now becoming increasingly available for a variety of species, and for giving precise exp- nations regarding genetic variation in quantitative traits occurring among species, populations, families, and individuals. In 1989, Lander and Botstein published a ha- mark methodological paper for interval mapping that enables geneticists to detect and estimate individual QTL that control the phenotype of a trait. Today, interval mappingisanimportantstatisticaltoolforstudyingthegeneticsofquantitativetraits at the molecular level, and has led to the discovery of thousands of QTLs responsible for a variety of traits in plants, animals, and humans. In a recent study published in Science, Li, Zhou, and Sang (2006, 311, 19361939) were able to characterize the molecular basis of the reduction of grain shattering a fundamental selection process for rice domestication at the detected QTL by interval mapping. Genomic te- nologies allow the molecular characterization of polymorphic markers throughout the entire genome that are then used to identify and map the genes or quantitative trait loci (QTLs) underlying a quantitative trait based on linkage analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781441919120
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Statistical Genetics of Quantitative Traits: Linkage, Maps and QTL (Statistics for Biology and Health)
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Statistical Genetics of Quantitative Traits: Linkage, Maps and QTL (Statistics for Biology and Health)
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Statistical Genetics of Quantitative Traits
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Springer New York, 2010
ISBN 10 : 1441919120
ISBN 13 : 9781441919120
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides basic statistical models and analytical procedures for detecting specific genes that control quantitative traits of economical and biological importance from these dataThis book introduces the basic concepts and methods that are useful in th. N° de réf. du vendeur 4172479
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Statistical Genetics of Quantitative Traits
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Springer New York Nov 2010, 2010
ISBN 10 : 1441919120
ISBN 13 : 9781441919120
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 384 pp. Englisch. N° de réf. du vendeur 9781441919120
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Statistical Genetics of Quantitative Traits
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Springer New York, Springer US Nov 2010, 2010
ISBN 10 : 1441919120
ISBN 13 : 9781441919120
Neuf
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Taschenbuch. Etat : Neu. Neuware -Most traits in nature and of importance to agriculture are quantitatively inherited. These traits are di cult to study due to the complex nature of their inheritance. However, recent developments of genomic technologies provide a revolutionary means for unraveling the secrets of genetic variation in quantitative traits. Genomic te- nologies allow the molecular characterization of polymorphic markers throughout the entire genome that are then used to identify and map the genes or quantitative trait loci (QTLs) underlying a quantitative trait based on linkage analysis. Statistical analysis is a crucial tool for analyzing genome data, which are now becoming increasingly available for a variety of species, and for giving precise exp- nations regarding genetic variation in quantitative traits occurring among species, populations, families, and individuals. In 1989, Lander and Botstein published a ha- mark methodological paper for interval mapping that enables geneticists to detect and estimate individual QTL that control the phenotype of a trait. Today, interval mappingisanimportantstatisticaltoolforstudyingthegeneticsofquantitativetraits at the molecular level, and has led to the discovery of thousands of QTLs responsible for a variety of traits in plants, animals, and humans. In a recent study published in Science, Li, Zhou, and Sang (2006, 311, 1936¿1939) were able to characterize the molecular basis of the reduction of grain shattering ¿ a fundamental selection process for rice domestication ¿ at the detected QTL by interval mapping.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 384 pp. Englisch. N° de réf. du vendeur 9781441919120
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Statistical Genetics of Quantitative Traits : Linkage, Maps and QTL
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Springer New York, Springer US, 2010
ISBN 10 : 1441919120
ISBN 13 : 9781441919120
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Most traits in nature and of importance to agriculture are quantitatively inherited. These traits are di cult to study due to the complex nature of their inheritance. However, recent developments of genomic technologies provide a revolutionary means for unraveling the secrets of genetic variation in quantitative traits. Genomic te- nologies allow the molecular characterization of polymorphic markers throughout the entire genome that are then used to identify and map the genes or quantitative trait loci (QTLs) underlying a quantitative trait based on linkage analysis. Statistical analysis is a crucial tool for analyzing genome data, which are now becoming increasingly available for a variety of species, and for giving precise exp- nations regarding genetic variation in quantitative traits occurring among species, populations, families, and individuals. In 1989, Lander and Botstein published a ha- mark methodological paper for interval mapping that enables geneticists to detect and estimate individual QTL that control the phenotype of a trait. Today, interval mappingisanimportantstatisticaltoolforstudyingthegeneticsofquantitativetr aits at the molecular level, and has led to the discovery of thousands of QTLs responsible for a variety of traits in plants, animals, and humans. In a recent study published in Science, Li, Zhou, and Sang (2006, 311, 1936-1939) were able to characterize the molecular basis of the reduction of grain shattering - a fundamental selection process for rice domestication - at the detected QTL by interval mapping. N° de réf. du vendeur 9781441919120
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Statistical Genetics of Quantitative Traits: Linkage, Maps and QTL
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Paperback. Etat : Brand New. 384 pages. 9.50x6.25x0.87 inches. In Stock. N° de réf. du vendeur x-1441919120
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Statistical Genetics of Quantitative Traits: Linkage, Maps and QTL (Statistics for Biology and Health)
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Springer, 2010
ISBN 10 : 1441919120
ISBN 13 : 9781441919120
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Statistical Genetics of Quantitative Traits (Paperback)
Edité par
Springer-Verlag New York Inc., New York, NY, 2010
ISBN 10 : 1441919120
ISBN 13 : 9781441919120
Neuf
Paperback
Vendeur : AussieBookSeller, Truganina, VIC, Australie
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Paperback. Etat : new. Paperback. Most traits in nature and of importance to agriculture are quantitatively inherited. These traits are di?cult to study due to the complex nature of their inheritance. However, recent developments of genomic technologies provide a revolutionary means for unraveling the secrets of genetic variation in quantitative traits. Genomic te- nologies allow the molecular characterization of polymorphic markers throughout the entire genome that are then used to identify and map the genes or quantitative trait loci (QTLs) underlying a quantitative trait based on linkage analysis. Statistical analysis is a crucial tool for analyzing genome data, which are now becoming increasingly available for a variety of species, and for giving precise exp- nations regarding genetic variation in quantitative traits occurring among species, populations, families, and individuals. In 1989, Lander and Botstein published a ha- mark methodological paper for interval mapping that enables geneticists to detect and estimate individual QTL that control the phenotype of a trait. Today, interval mappingisanimportantstatisticaltoolforstudyingthegeneticsofquantitativetraits at the molecular level, and has led to the discovery of thousands of QTLs responsible for a variety of traits in plants, animals, and humans. In a recent study published in Science, Li, Zhou, and Sang (2006, 311, 19361939) were able to characterize the molecular basis of the reduction of grain shattering a fundamental selection process for rice domestication at the detected QTL by interval mapping. Genomic te- nologies allow the molecular characterization of polymorphic markers throughout the entire genome that are then used to identify and map the genes or quantitative trait loci (QTLs) underlying a quantitative trait based on linkage analysis. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781441919120
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