Table 4 Correction quality results of HECTOR, Coral and Acacia on the real datasets in terms of recall, specificity, gain, precision and F-score
From: HECTOR: a parallel multistage homopolymer spectrum based error corrector for 454 sequencing data
Dataset | Error corrector | Recall | Specificity | Gain | Precision | F-Score |
|---|---|---|---|---|---|---|
SRR000868 | HECTOR | 93.58 | 99.96 | 88.24 | 94.61 | 94.09 |
Coral | 93.49 | 99.99 | 87.25 | 93.75 | 93.62 | |
Acacia | 84.17 | 99.98 | 77.61 | 92.77 | 88.26 | |
SRR000870 | HECTOR | 92.11 | 99.86 | 85.30 | 93.11 | 92.61 |
Coral | 92.03 | 99.99 | 85.71 | 93.57 | 92.79 | |
Acacia | 83.48 | 99.98 | 73.42 | 89.24 | 86.27 | |
SRR639330 | HECTOR | 97.33 | 99.41 | 95.54 | 98.20 | 97.76 |
Coral | 99.78 | 99.92 | 99.52 | 99.74 | 99.76 | |
Acacia | 92.56 | 99.98 | 90.19 | 97.50 | 94.97 | |
SRR957993 | HECTOR | 94.54 | 96.43 | 88.23 | 93.74 | 94.14 |
Coral | 94.55 | 96.87 | 89.09 | 94.53 | 94.54 | |
Acacia | 91.79 | 99.95 | 85.53 | 93.62 | 92.69 |