The goal of Primo
is to provide computationally efficient tools to integrate data across phenotypes, cell/tissue types, populations or sources when performing joint analysis of multi-omics data.
Please note that this package uses functions from the limma
package, which is downloadable from Bioconductor, and the lcmix
package, which is downloadable from R-Forge. If installation of Primo
fails and you have not yet installed the limma
or lcmix
packages, please try running the following commands:
```R if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("limma")
install.packages("MASS") install.packages("matrixStats") install.packages("nnls") install.packages("R.methodsS3") install.packages("lcmix",repos="http://r-forge.r-project.org") ```
Once you have installed limma
and lcmix
, you can install and load functions from Primo
:
R
devtools::install_github("kjgleason/Primo")
library("Primo")
To cite Primo
in publications, please use:
Kevin J. Gleason, Fan Yang, Brandon L. Pierce, Xin He, and Lin S. Chen. Primo: integration of multiple GWAS and omics QTL summary statistics for elucidation of molecular mechanisms of trait-associated SNPs and detection of pleiotropy in complex traits. Genome Biol (2020); 21(1):236. doi:10.1186/s13059-020-02125-w.
The code is released under GNU General Public License (GPL).
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