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- W3048485599 abstract "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." @default.
- W3048485599 created "2020-08-18" @default.
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- W3048485599 date "2020-08-14" @default.
- W3048485599 modified "2023-09-24" @default.
- W3048485599 title "CRISPR-Decryptr reveals cis-regulatory elements from noncoding perturbation screens" @default.
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- W3048485599 doi "https://doi.org/10.1101/2020.08.13.247007" @default.
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