MAUDE-Py: A Python Implementation for Analyzing Sorting-Based Pooled CRISPR Screens

MAUDE-Py, a Python implementation of MAUDE for pooled CRISPR screens, matches MAUDE’s results while speeding execution 2.09x–4.19x across benchmark datasets.

• Why it matters: Pooled CRISPR screens require computationally intensive analysis, and existing MAUDE functionality in R can limit integration with Python-based workflows. A Python alternative that preserves MAUDE’s probabilistic framework is needed.
• What they did: The team replicated MAUDE’s core probabilistic approach in Python, adding automated baseline calculations, improved null-sampling for significance at gene and non-coding element levels, and built-in visualization. They benchmarked MAUDE-Py versus MAUDE on multiple datasets.
• The result: Across those datasets, MAUDE-Py achieved near-perfect consistency with MAUDE while reducing execution time by 2.09x to 4.19x. This supports MAUDE-Py as an accurate, viable replacement for MAUDE-style pooled CRISPR analysis.

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