mrMLM: Multi-Locus Random-SNP-Effect Mixed Linear Model for Genome-Wide Association Studies and Linkage Analyses
Version 2.1

Conduct multi-locus GWAS and multi-locus QTL mapping under the framework of random-SNP-effect mixed linear model (mrMLM). First, each position (or marker) on the genome is scanned by mrMLM algorithm. Bonferroni correction is replaced by a less stringent selection criterion for significant test. Then, all the markers (or QTL) that are potentially associated with the trait are included in a multi-locus model, their effects are estimated by empirical Bayes and true QTN or QTL are identified by likelihood ratio test.

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AuthorWenlong Ren,Yuanli Ni,Shibo Wang,Yangjun Wen,Bo Huang and Yuanming Zhang
Date of publication2017-02-09 07:02:00
MaintainerYuanming Zhang<soyzhang@mail.hzau.edu.cn>
LicenseGPL (>= 2)
Version2.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("mrMLM")

Man pages

mrMLM-package: Multi-Locus Random-SNP-Effect Mixed Linear Model for...

Functions

mrMLM Man page Source code
mrMLM-package Man page
onLoad Source code

Files

inst
inst/extdata
inst/extdata/GWAS_mrMLM_Numeric_Genotype.csv
inst/extdata/GCIM_Genotype_Format.csv
inst/extdata/GWAS_Population_Structure.csv
inst/extdata/WheatDH_QTLIciMapping_Format.xlsx
inst/extdata/GWAS_Phenotype.csv
inst/extdata/GWAS_Kinship.csv
inst/extdata/GCIM_Cov.csv
inst/extdata/GWAS_Hapmap_Genotype.csv
inst/extdata/env1-jun3_WinQTLCart_Format.mcd
inst/extdata/GWAS_FASTmrEMMA_Numeric_Genotype.csv
inst/extdata/GCIM_Linkage_Map_Format.csv
inst/extdata/GWAS_mrMLM_Character_Genotype.csv
inst/extdata/GCIM_Penotype_Format.csv
inst/doc
inst/doc/Instruction.pdf
NAMESPACE
R
R/mrMLM.R
R/zzz.R
MD5
DESCRIPTION
man
man/mrMLM-package.Rd
mrMLM documentation built on May 20, 2017, 4:42 a.m.