GT-Scan
GT-Scan
Finding unique targets.
Use GT-Scan to find targets with minimal similar sequences (potential off-targets) elsewhere in the genome and rank the targets by their uniqueness. Click here for the legacy GT-Scan page.
GT-Scan2
Finding efficient targets for specific cell lines.
Use our latest machine learning model to find CRISPR/Cas9 targets within a genomic sequence and have those targets scored according to the predicted cutting efficiency, using genetic and epigenetic information.
TUSCAN
Finding efficient targets.
Use our latest machine learning model to find CRISPR/Cas9 targets within a genomic sequence and have those targets scored according to the predicted cutting efficiency, using genetic information.
CUNE
Finding targets for precision editing.
Find targets and design templates for inducing specific mutations using HDR and base editing.

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