| Description |
1 online resource (xvii, 288 pages) : illustrations |
| Series |
Chapman & Hall/CRC Mathematical & Computational Biology |
|
Chapman & Hall/CRC Mathematical & Computational Biology
|
| Contents |
1. Biological background -- 2. Selected topics in statistics -- 3. Quantitative genetics and general issues on QTL mapping -- 4. One-dimensional mapping approaches -- 5. Multiple interval mapping -- 6. QTL mapping with dense markers -- 7. Bayesian approach to QTL mapping -- 8. Multi-trait QTL mapping and eQTL mapping |
| Summary |
While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. Statistical Methods for QTL Mapping brings together many recent statistical techniques that address the data complexity of QTL mapping. After introducing basic genetics topics and statistical principles, the author discusses the principles of quantitative genetics, general statistical issues of QTL mapping, commonly used one-dimensional QTL mapping approaches, and multiple interval mapping methods. He then explains how to us |
| Notes |
"A CRC title." |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Gene mapping.
|
|
Genetic markers.
|
|
Chromosome Mapping
|
|
Genetic Markers
|
|
Gene mapping.
|
|
Genetic markers.
|
| Form |
Electronic book
|
| ISBN |
9781439868317 |
|
143986831X |
|
