Table 3 Performance of existing tools
From: Sketching and sampling approaches for fast and accurate long read classification
Classification Accuracy (%) at Error Rate X | % of Human (H) and Contaminant (C) Reads identified at Error Rate X | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
X = 1% | X = 5% | X = 10% | X = 1% | X = 5% | X = 10% | |||||
H | C | H | C | H | C | |||||
Novel Approaches (200 TMs) | MinHash | 77.8 | 75.6 | 73.0 | 99.5 | 99.5 | 99.4 | 99.1 | 98.8 | 98.5 |
Minimizer | 79.6 | 77.3 | 74.1 | 99.5 | 99.5 | 99.4 | 99.1 | 98.9 | 98.5 | |
Uniform | 74.5 | 72.3 | 69.9 | 99.5 | 99.4 | 99.2 | 99.0 | 98.7 | 98.4 | |
Minimap2 | 81.3 | 77.9 | 74.1 | 99.5 | 99.5 | 99.2 | 99.0 | 98.5 | 97.9 | |
Winnowmap | 81.3 | 77.9 | 74.1 | 99.5 | 99.5 | 99.2 | 99.0 | 98.5 | 98.0 | |
Kraken2 (RefSeq DB) | 72.0 | 66.0 | 58.0 | 99.3 | 99.2 | 98.8 | 98.1 | 97.2 | 96.5 | |
Kraken2 (Custom DB) | 72.2 | 66.1 | 58.0 | 99.3 | 99.3 | 98.8 | 98.1 | 97.2 | 96.5 | |
Centrifuge (RefSeq DB) | 72.2 | 67.5 | 62.1 | 99.3 | 99.2 | 98.8 | 98.4 | 97.8 | 97.2 | |
Centrifuge (Custom DB) | 72.4 | 67.5 | 62.1 | 99.3 | 99.3 | 98.8 | 98.4 | 97.8 | 97.2 | |
CLARK | 73.5 | 68.5 | 65.4 | 99.5 | 99.5 | 99.1 | 98.9 | 99.0 | 98.1 | |
MashMap | 74.5 | 70.8 | 67.3 | 99.5 | 99.4 | 98.9 | 98.1 | 97.7 | 96.6 | |