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beditor: A Computational Workflow for Designing Libraries of Guide RNAs for CRISPR-Mediated Base Editing

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The biological relevance of the present method pertains to CRISPR-mediated base editing technology that has opened new avenues for scar-free genome-wide mutagenesis and thus to a wide range of applications… Click to show full abstract

The biological relevance of the present method pertains to CRISPR-mediated base editing technology that has opened new avenues for scar-free genome-wide mutagenesis and thus to a wide range of applications in genome editing... CRISPR-mediated base editors have opened unique avenues for scar-free genome-wide mutagenesis. Here, we describe a comprehensive computational workflow called beditor that can be broadly adapted for designing guide RNA libraries with a range of CRISPR-mediated base editors, Protospacer Adjacent Motif (PAM) recognition sequences, and genomes of many species. Additionally, to assist users in selecting the best sets of guide RNAs for their experiments, a priori estimates of editing efficiency, called beditor scores, are calculated. These beditor scores are intended to select guide RNAs that conform to requirements for optimal base editing: the editable base falls within maximum activity window of the CRISPR-mediated base editor and produces nonconfounding mutational effects with minimal predicted off-target effects. We demonstrate the utility of the software by designing guide RNAs for base editing to model or correct thousands of clinically important human disease mutations.

Keywords: base editing; mediated base; guide rnas; crispr mediated; base

Journal Title: Genetics
Year Published: 2019

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