Table 2. A summary of the binning performance on real metagenomic assembly.
| MetaBAT | Canopy | CONCOCT | MaxBin | GroopMb | |
|---|---|---|---|---|---|
| Number of bins identified (>200 kb) | 234 | 223 | 260 | 168 | 335 |
| Number of genomes detected (Precision > 9 & Recall > .3) | 130 | 96 | 64 | 39 | 28 |
| Wall time (16 cores; 32 hyper-threads) | 00:03:36 | 00:02:31a | 82:19:53 | 06:49:39 | 12:19:12 |
| Peak memory usage (for binning step) | 3.0G | 1.6Ga | 7G | 5.8G | 6.3G |
Notes.
a
Canopy only use abundance table as input, so it should have taken more time and memory to read and write sequence data like the others.
b
Manual steps were not used.