Table 3.
The number of SVs detected with a breakpoint precision of 100 bp by the software grouped by SV types in two simulated datasets.
| # of Detected SVs for the 10 implanted SVs | |||||
|---|---|---|---|---|---|
| SENSV | NanoVar | Sniffles | SVIM | cuteSV | |
| Difficult cases | |||||
| Long deletion (> 100 kbp) | 9 | 6 | 3 (4) | 5 (6) | 3 |
| Duplication | 8 | 4 | 4 | 5 | 4 |
| Terminal deletion | 7 | 0 | 0 | 2 | 3 |
| Unbalanced translocation | 7 | 2 | 3 | 2 | 3 |
| Others | |||||
| Short deletion (< 100 kbp) | 10 | 4 | 7 | 10 | 6 |
| Inversion | 9 | 9 | 9 | 5 | 8 |
| Balanced translocation | 8 | 8 | 7 | 3 | 7 |
The number in the parentheses is the number of SVs detected with a breakpoint precision of 2000 bp. Each type has total 10 SVs implanted in two simulated datasets.
The best results of a row are in bold.