| QTL.gCIMapping.GUI-package {QTL.gCIMapping.GUI} | R Documentation |
QTL Genome-Wide Composite Interval Mapping with Graphical User Interface
Description
Conduct multiple quantitative trait loci (QTL) mapping under the framework of random-QTL-effect mixed linear model. First, each position on the genome is detected in order to construct a negative logarithm P-value curve against genome position. Then, all the peaks on each effect (additive or dominant) curve are viewed as potential QTL, all the effects of the potential QTL are included in a multi-QTL model, their effects are estimated by empirical Bayes in doubled haploid or by adaptive lasso in F2, and true QTL are identified by likelihood radio test.
Usage
QTL.gCIMapping.GUI()
Details
| Package: | QTL.gCIMapping.GUI |
| Type: | Package |
| Version: | 2.1.1 |
| Date: | 2020-10-8 |
| Depends: | shiny,MASS,qtl |
| Imports: | methods,openxlsx,stringr,Rcpp |
| License: | GPL version 2 or newer |
| LazyLoad: | yes |
Author(s)
Zhang Ya-Wen, Wen Yang-Jun, Wang Shi-Bo, Zhang Yuan-Ming
Maintainer: Yuanming Zhang<soyzhang@mail.hzau.edu.cn>
References
An efficient multi-locus mixed model framework for the detection of small and linked QTLs in F2.Wen Yang-Jun, Zhang Ya-Wen, Zhang Jin, Feng Jian-Ying, Jim M. Dunwell, Zhang Yuan-Ming*
Examples
## Not run: QTL.gCIMapping.GUI()