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. 2019 Aug 29;15(8):e1007274. doi: 10.1371/journal.pcbi.1007274

Table 2. Precision of tools on experimental data.

Tool name Doench Xu
CRISPR-DO 30.40% 87.28%
Cas-Designer 20.18% 61.17%
mm10db 22.66% 65.15%
CHOPCHOP 29.39% 84.25%
WU-CRISPR 50.82% 81.82%
sgRNAScorer2 27.12% 83.26%
PhytoCRISP-Ex 23.38% 76.44%
CRISPOR 26.41% 77.40%
FlashFry 58.85% 84.40%
TUSCAN 24.51% 71.51%
SSC 27.53% 85.13%

The precision, which is the proportion of guides predicted to be efficient that actually were experimentally found to be efficient, of each tool per dataset.