This package contains routines to prioritise putative causal genes and tissue contexts using promoter-capture Hi-C data. COGS stands for C apture Hi-C O mnibus G ene S core and works best with pcHi-C datasets processed using CHiCAGO. A full description of the approach can be found in Javierre et al. and Burren et al..
library(devtools)
install_github('ollyburren/rCOGS',build_vignettes=TRUE)
Please see online documentation and vignettes for common use cases here.
A quickstart guide for performing your own analyses is available here