Table 2.
The false discovery rates for these 12 tools with error-free reads
| Software | Dataset A | Dataset B | ||
|---|---|---|---|---|
| FP (%) | FN (%) | FP (%) | FN (%) | |
| Decombinator | 0.0427 | 0.6391 | 0.3248 | 0.4637 |
| IgBLAST | 0.0000 | 0.0085 | 0.1303 | 0.2029 |
| IMGT/HighV-QUEST | 0.0009 | 0.0063 | 0.1736 | 0.1596 |
| IMonitor | 0.0000 | 1.1637 | 0.1765 | 1.6920 |
| IMSEQ | 0.0000 | 3.0483 | 0.0000 | 0.8741 |
| LymAnalyzer | 7.0614 | 0.9908 | 59.5584 | 1.3454 |
| MiTCR | 0.0000 | 43.2870 | 0.0159 | 9.0488 |
| MiXCR | 0.0000 | 24.0104 | 0.1612 | 1.7092 |
| RTCR | 0.0336 | 2.4030 | 0.1159 | 0.3545 |
| TCRklass | 0.1378 | 24.5734 | 2.9391 | 4.4167 |
| TRIg | 0.0000 | 1.2274 | 0.0295 | 1.7520 |
| Vidjil | 0.0002 | 0.0375 | 0.2457 | 0.2029 |
Note: FP: false positive, FN: False negative. The first column listed all the tools used in this analysis.