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Updated: Aug 6, 2026

Pooled CRISPR-Based Genetic Screens in Mammalian Cells
Published on: September 4, 2019
Region-Level Design and Analysis of CRISPR Perturbation Screens with FRACTEL
Richard W Doty1,2, Maria A Ter Weele2,3, Alejandro Barrera2,3
1Department of Biostatistics & Bioinformatics, Duke University, Durham, 27705, NC, USA.
Abstract:
We 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.

