Version: 0.9.20

Genome-wide association studies are widely used to investigate the genetic basis of diseases and traits, but they pose many computational challenges. We developed SNPRelate (R package for multi-core symmetric multiprocessing computer architectures) to accelerate two key computations on SNP data: principal component analysis (PCA) and relatedness analysis using identity-by-descent measures. The kernels of our algorithms are written in C/C++ and highly optimized.

• Development version from Github:

library("devtools")
install_github("zhengxwen/gdsfmt")
install_github("zhengxwen/SNPRelate")

The install_github() approach requires that you build from source, i.e. make and compilers must be installed on your system -- see the R FAQ for your operating system; you may also need to install dependencies manually.

• Nearly up-to-date development binaries from gdsfmt r-forge repository:

install.packages(c("gdsfmt", "SNPRelate"),
   repos=c("http://gdsfmt.r-forge.r-project.org/repos",
          getOption("repos")[["CRAN"]]))