Statistical Genetics of Quantitative Traits: Linkage, Maps and QTL (Statistics for Biology and Health)

Rongling Wu

ISBN 10: 0387203346 / ISBN 13: 9780387203348

Editore: Springer, 2007

Riguardo questo articolo

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. Series: Statistics for Biology and Health. Num Pages: 384 pages, biography. BIC Classification: PBT; PBW; PSAK. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 164 x 24. Weight in Grams: 648. . 2007. 2007th Edition. Hardcover. . . . . Books ship from the US and Ireland.

Codice articolo V9780387203348

Dati bibliografici

• Titolo: Statistical Genetics of Quantitative Traits: Linkage, Maps and QTL (Statistics for Biology and Health)
• Editore: Springer
• Data di pubblicazione: 2007
• Lingua: Inglese
• ISBN 10: 0387203346
• ISBN 13: 9780387203348
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

This book intends to provide geneticists with the tools needed to understand and model the genetic variation for quantitative traits based on genomic data collected in mapping research and equip statisticians with the uniquenesses and ideas in relation to the exploration of genetic secrets using their computational skills. The emphasis of this book will be on non-human genetics.

Dalla quarta di copertina

The book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of DNA-based marker and phenotypic data that arise in agriculture, forrestry, 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 strengths of this book lie 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 and plant and animal model systems or 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. The book also includes exercise sets and computer codes for all the analyses used.

This book can serve as a textbook for graduates and senior undergraduates in genetics, agronomy, forest biology, plant breeding and animal sciences. It will also be useful to researchers and other professionals in the areas of statistics, biology and agriculture.

Rongling Wu is Associate Professor of Statistics at the University of Florida, Gainesville. He currently serves as Associate Editor for six genetics and bioinformatics journals. Chang-Xing Ma is Assistant Professor of Biostatistics at the State University of New York at Buffalo. George Casella is Distinguished Professor of Statistics and Distinguished Member of the Genetics Institute at the Univesity of Florida, Gainesville. He is a fellow of the American Statistical Association and the Institute of Mathematical Sciences, and the author of four other statistics books.