Metadata-Version: 2.1
Name: CountESS
Version: 0.0.1
Summary: Analysis program for calculating variant scores from deep mutational scanning data.
Home-page: https://github.com/countess-project/countess
Author: Alan F Rubin
Author-email: alan.rubin@wehi.edu.au
License: UNKNOWN
Description: [![Build Status](https://travis-ci.com/CountESS-Project/CountESS.svg?branch=master)](https://travis-ci.com/CountESS-Project/CountESS)
        [![Coverage Status](https://coveralls.io/repos/github/CountESS-Project/CountESS/badge.svg?branch=master)](https://coveralls.io/github/CountESS-Project/CountESS?branch=master)
        
        CountESS
        ========
        
        CountESS (Count-based Experiment Scoring and Statistics) is a general software tool for processing, analyzing, and visualizing data from high-throughput functional genomics experiments based on count data, such as deep mutational scanning.
        
        This project extends previous work on Enrich2 by moving from Python 2.7 to Python 3.6+ and add adding new features to improve performance and enable analysis of new types of data.
        
        Questions?
        ----------
        
        Please use the [GitHub Issue Tracker](https://github.com/VariantEffect/CountESS/issues) to file bug reports or request features. 
        
        CountESS is maintained by [Alan F Rubin](mailto:alan.rubin@wehi.edu.au).
        
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
