A Python library for creating comutation plots to visualize genomic and phenotypic information
CoMut is a Python library for creating comutation plots to visualize genomic and phenotypic information.
CoMut can be installed via
pip install comut
For those who do not want to install Python or other packages, there is a Google Colab notebook where you can simply upload a MAF file and run the notebook to make a basic comut. This file is also available as a jupyter notebook for local use.
CoMut is now available on biorxiv https://www.biorxiv.org/content/10.1101/2020.03.18.997361v1. If you use CoMut in a paper, please cite:
Crowdis, J., He, M.X., Reardon, B., Van Allen, E.M. (2020). CoMut: Visualizing integrated molecular information with comutation plots. bioRxiv doi: 10.1101/2020.03.18.997361v1
There is also a Documentation notebook that provides documentation for CoMut. It describes the fundamentals of creating comuts and provides the code used to generate the comut above.
If you would like to report a bug or request a feature, please do so using the issues page
CoMut runs on python 3.6 or later. CoMut requires the following packages as dependencies (they will be installed along with CoMut if using
numpy>=1.18.1 pandas>=0.25.3 palettable>=3.3.0 matplotlib>=3.3.1
0.0.3 - No code is changed, description updated for public release
0.0.2 - Introduce compatability for Python 3.6
0.0.1 - Initial release
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