Multi-sample change detection in Hi-C patterns
Project description
Multi-sample change detection in Hi-C patterns
Pareidolia is a toolkit for detecting changes in pattern intensities from Hi-C maps. It can be used to compare samples from different conditions and use multiple replicates to improve results.
This toolkit exploits chromosight’s correlation maps, allowing the same method to detect changes in different Hi-C patterns (e.g. loops or borders).
Usage
The api is currently a WIP and will be exposed through a command line interface in the future.
Installation
Pareidolia is available on Pypi and can be installed using:
pip3 install --user pareidoliaRelease history Release notifications | RSS feed
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