Table 3 Binning accuracy of MBBC, AbundanceBin and MetaCluster
From: MBBC: an efficient approach for metagenomic binning based on clustering
Datasets | MBBC | MetaCluster | AbundanceBin |
|---|---|---|---|
lag5lar11las24 | 91.34% | 82.93% | 64.60% |
lag4lar7las12 | 78.97% | 77.66% | 39.09% |
laa4lag8lar15las30 | 86.43% | 83.49% | 50.98% |
laa4lag8lar15las30 (no errors) | 87.13% | 85.64% | 86.41% |
spa4spd9sps18 | 89.58% | 78.68% | 63.73% |
spa5spd8sps15 | 82.01% | 73.71% | 52.44% |
spa4spd8sps18spt32 | 87.35% | 72.64% | 54.60% |
spa4spd8sps18spt32 (no errors) | 89.09% | 74.43% | 90.44% |
baa3bab7bac15 | 79.55% | 64.83% | 61.11% |
baa6bab10bac18 | 75.80% | 45.12% | 51.13% |
baa5bab10bac18bah30 | 75.71% | 34.48% | 39.25% |
baa5bab10bac18bah30 (no errors) | 79.90% | 45.82% | 66.25% |
human gut dataset | 74.94% | 71.65% | 52.63% |
AMD dataset | 94.14% | NA | 73.42% |