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bioRxiv · 10.1101/2020.08.13.247007

CRISPR-Decryptr reveals cis-regulatory elements from noncoding perturbation screens

Rasmussen, A. W.·Äijö, T.·Gabitto, M. I.·Carriero, N.·Sanjana, N.·Skok, J.·Bonneau, R.
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Abstract

Clustered Regularly Interspace Short Palindromic Repeats (CRISPR)-Cas9 genome editing methods provide the tools necessary to examine phenotypic impacts of targeted perturbations in high-throughput screens. While these technologies have the potential to reveal functional elements with direct therapeutic applications, statistical techniques to analyze noncoding screen data remain limited. We present CRISPR-Decryptr, a computational tool for the analysis of CRISPR noncoding screens. Our method leverages experimental design: accounting for multiple conditions, controls, and replicates to infer the regulatory landscape of noncoding genomic regions. We validate our method on a variety of mutagenesis, CRISPR activation, and CRISPR interference screens, extracting new insights from previously published data.

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Rasmussen, A. W., Äijö, T., Gabitto, M. I., Carriero, N., Sanjana, N., Skok, J., Bonneau, R.. 2020-08-14. CRISPR-Decryptr reveals cis-regulatory elements from noncoding perturbation screens. https://doi.org/10.1101/2020.08.13.247007

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