Enrich2

Enrich2 is a general software tool for processing, analyzing, and visualizing data from deep mutational scanning experiments. For more information or to cite Enrich2, please refer to A statistical framework for analyzing deep mutational scanning data.

Enrich2 documentation is available on Read the Docs.

An example dataset is available at the Enrich2-Example GitHub repository.

Thanks to the efforts of Chris Macdonald, Enrich2 is now able to run under modern versions of Python as of v2.0.0!

Installation and dependencies

Enrich2 runs on Python 3 (v2.0.0 and higher) and requires the following packages:

• NumPy
• SciPy
• pandas
• PyTables
• Statsmodels
• matplotlib
• fqfa

The configuration GUI requires Tkinter. Building a local copy of the documentation requires Sphinx.

Enrich2 can be installed in a new virtual environment using pip:

python3 -m venv e2env
source e2env/bin/activate
pip install enrich2

You should now be able to launch the Enrich2 graphical user interface by typing enrich_gui or the command line interface by typing enrich_cmd.

For additional information consult the online documentation.

Questions?

Please use the GitHub Issue Tracker to file bug reports or request features.

Enrich2 was written by Alan F Rubin.