Customer Reviews

A Guide to QTL Mapping with R/qtl (Statistics for Biology and Health)

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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 introductory texts and theory, but often not enough effort goes into them. This book seems to find the sweet spot, and it was a good purchase.

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 of the examples in R, the reader would have a very good background in QTL mapping and would be able to design a good experiment with high power, and then analyze the experiment. Also good if the reader has marker data from an experiment and wants to know what to do next. Highly recommended!