WenF {QTL.gCIMapping}R Documentation

To perform QTL mapping with Wen method

Description

An efficient multi-locus mixed model framework for the detection of small and linked QTLs in F2

Usage

WenF(pheRaw,genRaw,mapRaw1,yygg1,cov_en,WalkSpeed,CriLOD,dir)

Arguments

pheRaw

phenotype matrix.

genRaw

genotype matrix.

mapRaw1

linkage map matrix.

yygg1

the transformed covariate matrix .

cov_en

raw covariate matrix.

WalkSpeed

Walk speed for Genome-wide Scanning.(WalkSpeed=1).

CriLOD

Critical LOD scores for significant QTL (CriLOD=2.5).

dir

file path in your computer.

Author(s)

Zhang Ya-Wen, Wen Yang-Jun, Wang Shi-Bo, and Zhang Yuan-Ming
Maintainer: Yuanming Zhang<soyzhang@mail.hzau.edu.cn>

Examples

F2=data(F2data)
readraw<-Readdata(file=F2data,fileFormat="GCIM",fileICIMcov=NULL)
DoResult<-Dodata(fileFormat="GCIM",Population="F2",Model="Random",readraw)
WenF(DoResult$pheRaw,DoResult$genRaw,DoResult$mapRaw1,
DoResult$yygg1,DoResult$cov_en,WalkSpeed=1,CriLOD=2.5,
dir=tempdir())

[Package QTL.gCIMapping version 3.2 Index]