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. 2022 Dec 13;38(24):5437-5439.
doi: 10.1093/bioinformatics/btac697.

CRISPRon/off: CRISPR/Cas9 on- and off-target gRNA design

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CRISPRon/off: CRISPR/Cas9 on- and off-target gRNA design

Christian Anthon et al. Bioinformatics. .

Abstract

Summary: The effectiveness of CRISPR/Cas9-mediated genome editing experiments largely depends on the guide RNA (gRNA) used by the CRISPR/Cas9 system for target recognition and cleavage activation. Careful design is necessary to select a gRNA with high editing efficiency at the on-target site and with minimum off-target potential. Here, we present our webserver for gRNA design with a user-friendly graphical interface, which provides interoperability between our on- and off-target prediction tools, CRISPRon and CRISPRoff, for a complete and streamlined gRNA selection.

Availability and implementation: The graphical interface uses the Integrative Genomic Viewer (IGV) JavaScript plugin. The backend tools are implemented in Python and C. The CRISPRon and CRISPRoff webservers and command-line tools are freely available at https://rth.dk/resources/crispr.

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Figures

Fig. 1.
Fig. 1.
Design of gRNAs for Cas9 experiments with CRISPRon/off. Sequence of steps to identify targets that can be edited by Cas9 with high efficiency and with minimum off-target potential. The genomic sequence reported in the table rows is that of the DNA target (5′–3′ strand) which has the same sequence as the gRNA (which binds to the complimentary DNA) and the PAM. The ‘efficiency’ is the predicted indel frequency. The ‘specificity’ is the log10-scaled probability of binding at the on-target site compared to binding anywhere in the genome. The ‘genome’ coordinate is the start position of the target followed by the strand; all targets are in the same region and the same chromosome, which is not shown. IGV, integrative genomic viewer; CDS, coding sequence; 5p-UTR, 5′ untranslated region

References

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