crispat
crispat facilitates the choice of a suitable guide assignment strategy for single-cell CRISPR screens by offering multiple assignment methods and means for their comparison.
Key Features:
- Multiple Assignment Methods: crispat offers 11 different guide assignment methods for single-cell CRISPR screens.
- Strategy Comparison: crispat provides functionality to compare different guide assignment strategies.
Scientific Applications:
- Guide Assignment Optimization: crispat identifies differences in the number of assigned cells, downregulation of target genes, and number of discoveries across different guide assignment strategies in single-cell CRISPR interference screens.
- Functional Genomics Analysis: crispat enables optimal power in single-cell CRISPR screens by facilitating selection of suitable guide assignment strategies for analyzing genetic intervention effects at scale.
Methodology:
crispat was demonstrated on four single-cell CRISPR interference screens at low multiplicity of infection from two studies.
Topics
Details
- Programming Languages:
- Python
- Added:
- 1/15/2026
- Last Updated:
- 1/15/2026
Operations
Publications
Links
Repository
https://pypi.org/project/crispat/