Analysis program for calculating variant scores from deep mutational scanning data.
Project description
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.
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Please use the GitHub Issue Tracker to file bug reports or request features.
CountESS is maintained by Alan F Rubin.
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