QTL.gCIMapping.GUI
QTL Genome-Wide Composite Interval Mapping with Graphical User Interface
Conduct multiple quantitative trait loci (QTL) mapping under the framework of random-QTL-effect linear mixed model. First, each position on the genome is detected in order to obtain 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 population or by adaptive lasso in F2 population, and true QTL are identified by likelihood radio test. See Wen et al. (2018)
- Version2.1.1
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release10/12/2020
Team
Yuanming Zhan
Zhang Ya-Wen
Wen Yang-Jun
Wang Shi-Bo
Zhang Yuan-Ming
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- Depends4 packages
- Imports9 packages
- Linking To1 package