Name: a guide to qtl mapping with r/qtl (en Inglés)
Price: 397160.00 CLP
Availability: InStock
Author: Broman, Karl W. ; Sen, Saunak
ISBN: 9781461417088

portada a guide to qtl mapping with r/qtl (en Inglés)

Formato

Libro Físico

Autor

Karl W. Broman

Saunak Sen

Editorial

Springer

Año

2011

Idioma

Inglés

N° páginas

400

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 2.2 cm

Peso

0.58 kg.

ISBN

1461417082

ISBN13

9781461417088

Categorías

Investigación médica
Epidemiología y estadística médica
Bioquímica

a guide to qtl mapping with r/qtl (en Inglés)

Karl W. Broman (Autor) · Saunak Sen (Autor) · Springer · Tapa Blanda

Libro Nuevo

$ 397.160

$ 551.610

Ahorras: $ 154.450

28% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Lunes 24 de Junio y el Jueves 04 de Julio.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "a guide to qtl mapping with r/qtl (en Inglés)"

Quantitative trait locus (QTL) mapping is used to discover the genetic and molecular architecture underlying complex quantitative traits. It has important applications in agricultural, evolutionary, and biomedical research. R/qtl is an extensible, interactive environment for QTL mapping in experimental crosses. It is implemented as a package for the widely used open source statistical software R and contains a diverse array of QTL mapping methods, diagnostic tools for ensuring high-quality data, and facilities for the fit and exploration of multiple-QTL models, including QTL x QTL and QTL x environment interactions. This book is a comprehensive guide to the practice of QTL mapping and the use of R/qtl, including study design, data import and simulation, data diagnostics, interval mapping and generalizations, two-dimensional genome scans, and the consideration of complex multiple-QTL models. Two moderately challenging case studies illustrate QTL analysis in its entirety. The book alternates between QTL mapping theory and examples illustrating the use of R/qtl. Novice readers will find detailed explanations of the important statistical concepts and, through the extensive software illustrations, will be able to apply these concepts in their own research. Experienced readers will find details on the underlying algorithms and the implementation of extensions to R/qtl. There are 150 figures, including 90 in full color.