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
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