Coolpup.py – a versatile tool to perform pile-up analysis of Hi-C data

Data used for the analysis and to generate the figures. After un-tar-ing, the data is present in three folders. /coolers contains Hi-C data in the .cool format, and associated text files. /beds contains .bed and .bedpe files used in the analysis. /enrichment_jsons contains .json files with results of the "loop-ability" analysis. Code for the data analysis is available here: https://github.com/Phlya/coolpuppy_paper