TankKuma96/DisplayHiCRep:

Although Hi-C is a powerful technology for studying genome-wide chromatin interactions, it is too expensive. Thus,HiChIP, a more affordable technology, has been developed. However, there are still no statistically robust methods to evaluate the reproducibility of HiChIP data.The current methods for assessing HiChIP data reproducibility can produce misleading results since the 3D spatial structure of genome. Our lab's PhD student Tao already create a method for calculating the reproducibility called 'hicrep'. After evaluation, we made sure that Hicrep is also workable for HiChIP data. Thus, we improve it to take more common HiChIP data types and display those results in heat map. This R package 'DisplayHiCRep' implements our approach.

Getting started

Package details

Maintainer
License
Version0.0.0.9000
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("TankKuma96/DisplayHiCRep")
TankKuma96/DisplayHiCRep documentation built on May 16, 2019, 3:06 p.m.