Package: QTLRel 1.14
Riyan Cheng
QTLRel: Tools for Mapping of Quantitative Traits of Genetically Related Individuals and Calculating Identity Coefficients from Pedigrees
This software provides tools for quantitative trait mapping in populations such as advanced intercross lines where relatedness among individuals should not be ignored. It can estimate background genetic variance components, impute missing genotypes, simulate genotypes, perform a genome scan for putative quantitative trait loci (QTL), and plot mapping results. It also has functions to calculate identity coefficients from pedigrees, especially suitable for pedigrees that consist of a large number of generations, or estimate identity coefficients from genotypic data in certain circumstances.
Authors:
QTLRel_1.14.tar.gz
QTLRel_1.14.tar.gz(r-4.5-noble)QTLRel_1.14.tar.gz(r-4.4-noble)
QTLRel_1.14.tgz(r-4.4-emscripten)QTLRel_1.14.tgz(r-4.3-emscripten)
QTLRel.pdf |QTLRel.html✨
QTLRel/json (API)
# Install 'QTLRel' in R: |
install.packages('QTLRel', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- gdatF8 - Genotype data, phenotype data, genetic map and pedigree.
- gmF8 - Genotype data, phenotype data, genetic map and pedigree.
- gmapF8 - Genotype data, phenotype data, genetic map and pedigree.
- pdatF8 - Genotype data, phenotype data, genetic map and pedigree.
- pedF8 - Genotype data, phenotype data, genetic map and pedigree.
- pedF8.1 - Genotype data, phenotype data, genetic map and pedigree.
- pedF8.2 - Genotype data, phenotype data, genetic map and pedigree.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:8169322bad. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 01 2024 |
R-4.5-linux-x86_64 | OK | Dec 01 2024 |
Exports:aicVCblupciceigen.symestVCgenMatrixgenoImputegenoPosgenoProbgenoSimglshapSimibskinshiplodcimAICnullSimpedRecodepkolmplot.scanTwoplotitqkolmqqPlotqtl2relqtlVarrel2qtlremscanOnescanTwo