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GitHub Build Status Project Status: Active โ€“ The project has reached a stable, usable state and is being actively developed. minimal R version GitHub tag (latest by date)

Explore the Hi-Cs!

The increase in interest for Hi-C methods in the chromatin community has led to a need for more user-friendly and powerful analysis methods. The few currently available software packages for Hi-C do not allow a researcher to quickly summarize and visualize their data. An easy to use software package, which can generate a comprehensive set of publication-quality plots, would allow researchers to swiftly go from raw Hi-C data to interpretable results.

Here, we present GENome Organisation Visual Analytics (GENOVA): a software suite to perform in-depth analyses on various levels of genome organisation, using Hi-C data. GENOVA facilitates the comparison between multiple datasets and supports the majority of mapping-pipelines.

GENOVA directly reads data from:

  • HiC-pro
  • cooler
  • juicer


You can install GENOVA from GitHub with:

# install.packages("remotes")

Note to long-time users

Version 1.0 will contain a massive overhaul, which will result in breaking nearly every analysis. To provide legacy support, we made the ye olde lighthouse release. This can be installed with devtools::install_github("robinweide/GENOVA@v0.95"). Furthermore, if you have custom scripts based on the output of construct.experiment(), you can use v1 and set legacy=TRUE in loadContacts() to get a similar output. This, of course, also allows you to load .cooler and .hic files in pre-v1 versions ๐Ÿ‘.


We have provided a quite lengthy vignette, so please read that first. If there are still unanswered questions, please use the issue-tracker.


Please see our preprint on bioRxiv: Hi-C Analysis with GENOVA: a case study with cohesin variants.

Code of conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.