GWAS analysis using rMVP package in R software.
rMVP (Memory-Efficient, Visualize-Enhanced, Parallel-Accelerated GWAS Tool) is one of widely used tool to perform GWAS analysis. This package can (1) handle and process large data, (2) evaluate population genetic structure, (3) compute variance components, (4) implement parallel-accelerated association tests of SNPs through three statistical models (GLM, MLM and FarmCPU), (5) enhance visualization of related information. For this tutorial, I am using TASSEL software tutorial data. Missing data (i.e., -999) was replaced with "NA" before GWAS analysis. rMVP link: https://github.com/xiaolei-lab/rMVP R-script link: https://github.com/mohsinali1990/My_scripts/blob/main/rMVP%20GWAS%20script.R
rMVP (Memory-Efficient, Visualize-Enhanced, Parallel-Accelerated GWAS Tool) is one of widely used tool to perform GWAS analysis. This package can (1) handle and process large data, (2) evaluate population genetic structure, (3) compute variance components, (4) implement parallel-accelerated association tests of SNPs through three statistical models (GLM, MLM and FarmCPU), (5) enhance visualization of related information. For this tutorial, I am using TASSEL software tutorial data. Missing data (i.e., -999) was replaced with "NA" before GWAS analysis. rMVP link: https://github.com/xiaolei-lab/rMVP R-script link: https://github.com/mohsinali1990/My_scripts/blob/main/rMVP%20GWAS%20script.R