Table 1 Comparison of binning results of BuseBeeWeb, MetaBCC-LR and LRBinner
From: Binning long reads in metagenomics datasets using composition and coverage information
Dataset | Actual no. of bins | Evaluation criteria | MetaBCC-LR | LRBinner |
|---|---|---|---|---|
Sim-8 | 8 | Precision | 90.78% | 99.14% |
Recall | 96.18% | 99.14% | ||
F1 score | 93.40 % | 99.14% | ||
Bins detected | 13 | 8 | ||
Sim-20 | 20 | Precision | 82.97% | 90.53% |
Recall | 81.95% | 88.23% | ||
F1 score | 82.46% | 89.36% | ||
Bins detected | 29 | 18 | ||
Sim-50 | 50 | Precision | 82.23% | 91.92% |
Recall | 70.56% | 77.03% | ||
F1 score | 75.95% | 83.82% | ||
Bins detected | 32 | 31 | ||
Sim-100 | 100 | Precision | 90.50% | 82.60% |
Recall | 84.54% | 92.78% | ||
F1 score | 88.54% | 87.39% | ||
Bins detected | 89 | 63 | ||
ZymoEVEN | 10 | Precision | 72.41% | 91.26% |
Recall | 92.97% | 75.36% | ||
F1 score | 81.41% | 82.55% | ||
Bins detected | 8 | 17 | ||
MSA-1003 | 10 | Precision | 93.69% | 95.30% |
Recall | 95.50% | 95.99% | ||
F1 score | 94.59% | 95.64% | ||
Bins detected | 14 | 10 | ||
SRX9569057 | 17 | Precision | 80.94 | 80.47% |
Recall | 85.82 | 90.68% | ||
F1 score | 83.31 | 85.27% | ||
Bins detected | 23 | 16 | ||
SRX9569058 | 17 | Precision | 70.18% | 73.72% |
Recall | 86.63% | 91.03% | ||
F1 score | 77.54% | 81.46% | ||
Bins detected | 37 | 22 | ||
SRX9569059 | 17 | Precision | 66.69% | 79.70% |
Recall | 73.76% | 91.25% | ||
F1 score | 70.05% | 85.08% | ||
Bins detected | 16 | 20 |