README.md

rCOGS

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..

Installation

``` library(devtools) install_github('ollyburren/rCOGS',build_vignettes=TRUE) ````

Documentation

Please see online documentation and vignettes for common use cases here.

A quickstart guide for performing your own analyses is available here



ollyburren/rCOGS documentation built on Aug. 5, 2020, 2:13 p.m.