From: BreakNet: detecting deletions using long reads and a deep learning approach
 |  |  | BreakNet | Sniffles | cuteSV | SVIM |
---|---|---|---|---|---|---|
HG00514 | 42X | Precision | 0.7197 | 0.6772 | 0.4539 | 0.5547 |
 |  | Recall | 0.351 | 0.3137 | 0.3286 | 0.2261 |
 |  | F1 | 0.4721 | 0.4290 | 0.3811 | 0.3213 |
 | 21X | Precision | 0.5900 | 0.7358 | 0.4660 | 0.4407 |
 |  | Recall | 0.2624 | 0.2898 | 0.3442 | 0.1632 |
 |  | F1 | 0.3633 | 0.4158 | 0.3960 | 0.2382 |
 | 10X | Precision | 0.5552 | 0.5986 | 0.5562 | 0.2593 |
 |  | Recall | 0.3310 | 0.2585 | 0.3013 | 0.3003 |
 |  | F1 | 0.4147 | 0.3611 | 0.3909 | 0.2783 |
HG00733 | 48X | Precision | 0.7160 | 0.6528 | 0.4834 | 0.5166 |
 |  | Recall | 0.3578 | 0.3076 | 0.2932 | 0.2277 |
 |  | F1 | 0.4772 | 0.4182 | 0.3650 | 0.3162 |
 | 24X | Precision | 0.7598 | 0.7197 | 0.4250 | 0.5981 |
 |  | Recall | 0.3386 | 0.2832 | 0.3379 | 0.2218 |
 |  | F1 | 0.4685 | 0.4065 | 0.3765 | 0.3235 |
 | 10X | Precision | 0.5444 | 0.6440 | 0.5117 | 0.2361 |
 |  | Recall | 0.3364 | 0.2510 | 0.2959 | 0.3147 |
 |  | F1 | 0.4158 | 0.3611 | 0.375 | 0.2700 |