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.