From the Reviews:
"[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)
"...[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)
Aimed at graduate students and researchers and including statistical models and analytical procedures, 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 and related fields.
"Sobre este título" puede pertenecer a otra edición de este libro.
Gastos de envío:
GRATIS
A Estados Unidos de America
Descripción Soft Cover. Condición: new. Nº de ref. del artículo: 9781441919120
Descripción Condición: New. Nº de ref. del artículo: ABLIING23Mar2411530293734
Descripción Condición: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Nº de ref. del artículo: ria9781441919120_lsuk
Descripción Condición: 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. Nº de ref. del artículo: 4172479
Descripción Taschenbuch. Condición: 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. Nº de ref. del artículo: 9781441919120
Descripción Taschenbuch. Condición: 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. Nº de ref. del artículo: 9781441919120
Descripción Paperback. Condición: Brand New. 384 pages. 9.50x6.25x0.87 inches. In Stock. Nº de ref. del artículo: x-1441919120