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.
Please use the GitHub Issue Tracker to file bug reports or request features.
CountESS is maintained by Alan F Rubin.