Man pages for rMVP
Memory-Efficient, Visualize-Enhanced, Parallel-Accelerated GWAS Tool

MVPMVP, Memory-efficient, Visualization-enhanced,...
MVP.BRENT.Vg.VeMVP.BRENT.Vg.Ve variance component estimation using the BRENT...
MVP.calkCalculate Kinship matrix by Blocking strategy
MVP.DataMVP.Data: To prepare data for MVP package Author: Xiaolei...
MVP.Data.Bfile2MVPMVP.Data.Bfile2MVP: To transform plink binary data to MVP...
MVP.Data.Hapmap2MVPMVP.Data.Hapmap2MVP: To transform Hapmap data to MVP package...
MVP.Data.imputeMVP.Data.impute: To impute the missing genotype Author:...
MVP.Data.KinKinship
MVP.Data.MapMVP.Data.Map: To check map file Author: Haohao Zhang Build...
MVP.Data.MVP2BfileMVP.Data.MVP2Bfile: To transform MVP data to binary format...
MVP.Data.Numeric2MVPMVP.Data.Numeric2MVP: To transform Numeric data to MVP...
MVP.Data.PCPrincipal component analysis
MVP.Data.PhenoMVP.Data.Pheno: To clean up phenotype file Author: Haohao...
MVP.Data.VCF2MVPMVP.Data.VCF2MVP: To transform vcf data to MVP package...
MVP.EMMA.Vg.VeEstimate variance components using EMMA
MVP.FarmCPUPerform GWAS using FarmCPU method
MVP.FaSTLMM.LLEvaluation of the maximum likelihood using FaST-LMM method
MVP.GLMTo perform GWAS with GLM and MLM model and get the P value of...
MVP.HE.Vg.VeTo estimate variance component using HE regression
MVP.HistPhenotype distribution histogram
MVP.K.VanRadenCalculate Kinship matrix by VanRaden method
MVP.MLMTo perform GWAS with GLM and MLM model and get the P value of...
MVP.PCAPrincipal Component Analysis
MVP.PCAplotPCA Plot
MVP.ReportMVP.Report
MVP.Report.DensitySNP Density
MVP.Report.QQplotQQ Plot
MVP.VersionPrint MVP Banner
pig60KGenotyped by pig 60k chip
reexportsObjects exported from other packages
rMVP documentation built on Nov. 27, 2023, 5:09 p.m.