simuRare — Simulating Genomic Data with Rare Variants

simuRare is a regression-based resampling method to use real data and simulate rare variants obtained from the 1000 Genomes Project. This program implements the method described in:

  • Xu, Wu, Song, and Zhang. Simulating realistic genomic data with rare variants. Genetic Epidemiology, 37(2): 163-72, 2013.

To obtain and run simuRare (Windows or Linux based), please download the 7z file . After you uncompress the file, choose the folder according to your R version which contains the compressed gz or zip files for simuRare. Follow the following steps in R:

  • For Windows system,
  • select "packages" on the top of R Gui, choose "install package," choose a mirror site, and select "Rcpp" from the top-down menu.
  • select "packages" on the top of R Gui, choose "install package from local zip file," and select the "simuRare_1.0.zip" or "simuRare_1.1.zip" file, depending on your R Version.
  • Type the R command: library(Rcpp).
  • Type the R command: library(simuRare).
  • For Linux system,
  • download Rcpp package gz file from CRAN.
  • enter the directory where gz files are saved and type "R", type R command: install.packages("Rcpp_version.tar.gz",repos=NULL,type="source"), then type R command: install.packages("simuRare_version.tar.gz",repos=NULL,type="source").
  • Type the R command: library(Rcpp).
  • Type the R command: library(simuRare).