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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