RT Journal Article SR Electronic T1 beditor: A computational workflow for designing libraries of guide RNAs for CRISPR-mediated base editing JF bioRxiv FD Cold Spring Harbor Laboratory SP 426973 DO 10.1101/426973 A1 Rohan Dandage A1 Philippe C Després A1 Nozomu Yachie A1 Christian R Landry YR 2019 UL http://biorxiv.org/content/early/2019/03/08/426973.abstract AB 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, PAM recognition sequences and genomes of many species. Additionally, in order to assist users in selecting the best sets of guide RNAs for their experiments, a priori estimates, 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 non-confounding mutational effects with minimal predicted off-target effects. We demonstrate the utility of the software by designing guide RNAs for base-editing to create or remove thousands of clinically important human disease mutations.