From: Spherical: an iterative workflow for assembling metagenomic datasets
Dataset | Method | RAM usage (Gb) | Alignment (%) | False bases (%) | Longest contig | Number of contigs |
---|---|---|---|---|---|---|
Cecum | Normalised | 119 | 29.5 | 0.01 | 831 | 103,618 |
Base assembly | 1 | 29.5 | 0.01 | 831 | 103,618 | |
Metavelvet | 2 | 29.1 | 0.07 | 831 | 103,618 | |
Spherical (1) | 2 | 30.9 | 0.04 | 831 | 138,995 | |
Oral | Normalised | 14 | 8.1 | 0.01 | 3337 | 1,825,177 |
Base assembly | 25 | 13.0 | 0.02 | 4548 | 1,178,611 | |
Metavelvet | 15 | 13.0 | 0.07 | 4548 | 1,178,611 | |
Spherical (1) | 5 | 24.6 | 0.19 | 2380 | 1,053,802 | |
Ground water | Normalised | 361 | 52.8 | 3.86 | 117,274 | 5,721,819 |
Base assembly | 376 | 52.0 | 3.84 | 117,274 | 5,772,465 | |
Metavelvet | 376 | 52.0 | 4.04 | 117,274 | 5,772,461 | |
Spherical (1) | 377 | 59.7 | 2.89 | 117,274 | 13,312,643 | |
Spherical (0.25) | 129 | 51.5 | 3.50 | 104,353 | 7,851,021 | |
Spherical (0.033) | 107 | 49.8 | 3.78 | 53,836 | 7,145,998 |