Region-Level Design and Analysis of CRISPR Perturbation Screens with FRACTEL
Region-Level Design and Analysis of CRISPR Perturbation Screens with FRACTEL
Doty, R. W.; ter Weele, M. A.; Barrera, A.; Bounds, L. R.; Gersbach, C. A.; Allen, A. S.
AbstractWe present FRACTEL, a statistical framework for region-level analysis of CRISPR perturbation screens. FRACTEL aggregates gRNA p-values using a bounded minimum across order statistics, preserving scale and enabling adaptive sensitivity to sparse or diffuse effects. Region-level null distributions are estimated via simulation, ensuring precise type I error control. Simulations and real CRISPRi/a datasets demonstrate improved power and replication rate over gRNA-level analyses. FRACTEL also informs experimental design, revealing trade-offs between gRNA redundancy and efficacy and identifying inherent limits in single-cell repression screens of lowly expressed genes. The method integrates with existing pipelines and supports diverse CRISPR screening applications.