Skip to main content

Region-Level Design and Analysis of CRISPR Perturbation Screens with FRACTEL.

Preprints
Doty, RW; Ter Weele, MA; Barrera, A; Bounds, LR; Gersbach, CA; Allen, AS
July 7, 2026

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.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

DOI

Publication Date

July 7, 2026
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Doty, R. W., Ter Weele, M. A., Barrera, A., Bounds, L. R., Gersbach, C. A., & Allen, A. S. (2026). Region-Level Design and Analysis of CRISPR Perturbation Screens with FRACTEL. https://doi.org/10.64898/2026.07.06.736794
Doty, Richard W., Maria A. Ter Weele, Alejandro Barrera, Lexi R. Bounds, Charles A. Gersbach, and Andrew S. Allen. “Region-Level Design and Analysis of CRISPR Perturbation Screens with FRACTEL.,” July 7, 2026. https://doi.org/10.64898/2026.07.06.736794.
Doty RW, Ter Weele MA, Barrera A, Bounds LR, Gersbach CA, Allen AS. Region-Level Design and Analysis of CRISPR Perturbation Screens with FRACTEL. 2026.
Doty, Richard W., et al. Region-Level Design and Analysis of CRISPR Perturbation Screens with FRACTEL. 7 July 2026. Pubmed, doi:10.64898/2026.07.06.736794.
Doty RW, Ter Weele MA, Barrera A, Bounds LR, Gersbach CA, Allen AS. Region-Level Design and Analysis of CRISPR Perturbation Screens with FRACTEL. 2026.

DOI

Publication Date

July 7, 2026