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wgaim (version 2.0-1)

Whole Genome Average Interval Mapping for QTL Detection and Estimation using ASReml-R

Description

A computationally efficient whole genome approach to detecting and estimating significant QTL in linkage maps using the flexible linear mixed modelling functionality of ASReml-R.

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Version

Install

install.packages('wgaim')

Monthly Downloads

155

Version

2.0-1

License

GPL (>= 2)

Maintainer

Julian Taylor

Last Published

October 3rd, 2019

Functions in wgaim (2.0-1)

genoRxK

Genotypic marker data for RAC875 x Kukri doubled haploid population in R/qtl format
genoSxT

Genotypic marker data for Sunco x Tasman doubled haploid population in R/qtl format
summary.wgaim

Summary and print methods for the class "wgaim"
tr.wgaim

Display diagnostic information about the QTL detected.
linkMap.wgaim

Plot a genetic linkage map with QTL
phenoRxK

Phenotypic RAC875 x Kukri trial data frame
phenoCxR

Phenotypic Cascades x RAC875-2 zinc experiment data frame
phenoSxT

Phenotypic Sunco x Tasman trial data frame
cross2int

Convert a cross genetic object to an interval object
qtlTable

Stack QTL summary information into a super table
outStat

A faceted ggplot of the chromosome outlier statistics or the interval blups/outlier statistics obtained from specified iteratons of wgaim.
wgaim-internal

Internal wgaim functions
genoCxR

Genotypic marker data for Cascades x RAC875-2 doubled haploid population in R/qtl format
wgaim.asreml

wgaim method for class "asreml"
linkMap.cross

Plot a genetic linkage map
wgaim-package

Whole Genome Average Interval Mapping (wgaim) for QTL detection and estimation
linkMap.default

Plot a genetic linkage map with QTL for multiple traits