GARFIELD is a functional enrichment analysis approach described in the paper GARFIELD: GWAS analysis of regulatory or functional information enrichment with LD correction. Briefly, it is a method that leverages GWAS findings with regulatory or functional annotations (primarily from ENCODE and Roadmap epigenomics data) to find features relevant to a phenotype of interest.
module spider garfield to find out what environment modules are available for this application.
- HPC_GARFIELD_DIR - installation directory
- HPC_GARFIELD_BIN - executable directory
- HPC_GARFIELD_REF - reference database directory
If you publish research that uses garfield you have to cite it as follows:
Valentina Iotchkova, Graham R.S. Ritchie, Matthias Geihs, Sandro Morganella, Josine L. Min, Klaudia Walter, Nicholas J. Timpson, UK10K Consortium, Ian Dunham, Ewan Birney and Nicole Soranzo. GARFIELD - GWAS Analysis of Regulatory or Functional Information Enrichment with LD correction. doi: https://doi.org/10.1101/085738