A Guide to QTL Mapping with R/qtl (English, Karl W. Broman | Saunak Sen)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9780387921242 |
| ISBN-10 | 0387921249 |
| Author | Karl W. Broman | Saunak Sen |
Product Description
About the Book
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…
ISBN: 9780387921242
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in A Guide to QTL Mapping with R/qtl
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Springer
Who Should Read This
Students and professionals interested in Springer, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Customer Reviews
If you need a free QTL mapper...
This book has everything you need if you want to know how to map a QTL (Quantitative Trait Loci) trait. It has some genetic and statistical backgrounds, but a basic knowledge of statistics and genetics would benefit the reader. Previous experience with R is highly recommended, but there are also many step-by-step codings to show you what to do. Mapping a QTL is not so much a linear pathway, but an involved process and this book covers them all. After reading through the book and doing many o
Hits the sweet spot
It is what title says, QTL analysis with R/qtl, with just enough background. Hard cover, nice color illustrations of graphics outputs from R that tie in nicely with the text.Descriptions of genetics and crosses are well written and clear. It's not meant to be a comprehensive explanation of inheritance or quantitative genetics, but the book provides just enough background to support their rationale for picking specific crosses and experimental designs.Many books try to fill the gap between introd
Excellent, practical, with R codes
This book is a key tool to learn how to use R-qtl and how to do linkage mapping in general.
i like the book
this book is very helpful and the explanations in the site attached are great.it gives a nice statistical and biological frameworkelad bensal
Five Stars
This book is really good. Love it!
