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:Riyan Cheng [aut, cre]

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'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
Datasets:
  • 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.

fortranopenblas

2.69 score 49 scripts 525 downloads 16 mentions 29 exports 3 dependencies

Last updated 1 years agofrom:8169322bad. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 01 2024
R-4.5-linux-x86_64OKDec 01 2024

Exports:aicVCblupciceigen.symestVCgenMatrixgenoImputegenoPosgenoProbgenoSimglshapSimibskinshiplodcimAICnullSimpedRecodepkolmplot.scanTwoplotitqkolmqqPlotqtl2relqtlVarrel2qtlremscanOnescanTwo

Dependencies:gdatagtoolslattice