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A Python library for creating comutation plots to visualize genomic and phenotypic information

Project description

CoMut

CoMut is a Python library for creating comutation plots to visualize genomic and phenotypic information.

melanoma_comut

Installation

CoMut can be installed via pip

pip install comut

Colab Quickstart

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.

Citation

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

Documentation

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.

Development

If you would like to report a bug or request a feature, please do so using the issues page

Dependencies

CoMut runs on python 3.6 or later. CoMut requires the following packages as dependencies (they will be installed along with CoMut if using pip)

numpy>=1.18.1
pandas>=0.25.3
palettable>=3.3.0
matplotlib>=3.3.1

Versions

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

Project details


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