Table 3 Application to 2 human gut microbiome samples.
From: Gene prediction in metagenomic fragments based on the SVM algorithm
Samples | Size(M) | Contigs | Annotated | Methods | Predicted | Additional | Potential novel |
|---|---|---|---|---|---|---|---|
| Â | Â | Â | Â | MG | 21524 (94.8%) | 2101 (58.1%) | 32 |
| Â | Â | Â | Â | MP | 22056 (96.3%) | 2332 (54.1%) | 5 |
| Â | Â | Â | Â | GLM | 22116 (96.4%) | 2361 (54.5%) | 5 |
Sub. 7 | 15.8 | 10411 | 20487 | MGM | 22200 (96.8%) | 2365 (56.7%) | 5 |
| Â | Â | Â | Â | MGA | 22102 (96.3%) | 2377 (57.2%) | 3 |
| Â | Â | Â | Â | FGS | 23215 (95.6%) | 3634 (34.9%) | 4 |
| Â | Â | Â | Â | Net | 21421 (94.5%) | 2067 (48.7%) | 3 |
| Â | Â | Â | Â | MG | 26881 (95.0%) | 2241 (64.5%) | 12 |
| Â | Â | Â | Â | MP | 27737 (97.0%) | 2589 (61.6%) | 5 |
| Â | Â | Â | Â | GLM | 28127 (97.1%) | 2931 (58.2%) | 5 |
Sub. 8 | 20.5 | 12020 | 25943 | MGM | 27931 (97.1%) | 2728 (63.7%) | 4 |
| Â | Â | Â | Â | MGA | 27627 (96.2%) | 2666 (63.1%) | 4 |
| Â | Â | Â | Â | FGS | 29462 (96.5%) | 4433 (36.0%) | 4 |
| Â | Â | Â | Â | Net | 26780 (95.0%) | 2126 (58.0%) | 4 |