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Table 3 Accuracy comparison of EC tools in terms of EC gain, percentage of corrected errors, and number of newly introduced errors per Mbp of read data

From: Evaluation of the impact of Illumina error correction tools on de novo genome assembly

  D1 D2 D3 D4 D5 D6 D7 D8
Error correction gain (%)
 ACE 96.3 97.9 98.7 96.2 91.1 41.7 -3.3 25.9
 BFC 78.7 84.3 80.2 81.4 78.6 52.8 63.3 24.1
 Blue 98.5 98.8 98.7 96.7 95.4 51.1 65.2 28.8
 Fiona 87.4 94.6 97.5 85.5 91.4 55.0 65.8 29.8
 Karect 99.4 99.8 99.7 98.5 98.2 63.1 75.5 34.3
 Lighter 85.4 93.8 92.5 80.1 84.6 45.7 50.3 21.7
 Musket 91.3 93.6 93.4 88.0 87.1 49.5 59.2 23.5
 RACER 92.3 94.4 97.0 88.3 94.0 17.4 32.6 22.3
 SGA-EC 55.3 67.2 45.5 53.1 65.2 48.7 60.6 23.0
 Trowel 38.4 49.4 38.8 40.5 46.8 13.2 1.1 10.5
Percentage of corrected errors (sensitivity)
 ACE 97.7 98.5 99.2 98.0 97.0 61.3 73.8 34.5
 BFC 78.8 84.4 80.2 81.4 78.7 54.1 63.8 24.7
 Blue 98.7 99.3 99.1 97.0 95.7 59.9 70.6 31.4
 Fiona 87.5 94.8 97.7 85.5 91.7 60.6 71.7 31.5
 Karect 99.4 99.9 99.7 98.5 98.2 64.4 76.7 35.5
 Lighter 85.5 94.0 92.7 80.2 86.3 48.9 59.1 24.3
 Musket 91.3 93.6 93.4 88.1 87.3 52.9 65.3 26.4
 RACER 92.9 95.8 98.2 89.0 94.8 59.2 68.2 34.0
 SGA-EC 55.3 67.2 45.5 53.1 65.3 50.4 61.3 23.2
 Trowel 39.0 49.9 43.4 40.9 47.6 23.6 31.2 11.8
Number of errors introduced per Mbp
 ACE 44 23 40 151 194 1217 2375 1123
 BFC 2 3 7 2 3 83 15 73
 Blue 8 20 30 31 10 547 167 341
 Fiona 2 7 14 6 9 347 183 218
 Karect 0 1 3 1 1 80 36 157
 Lighter 2 6 14 8 56 202 273 332
 Musket 1 2 5 3 6 214 190 383
 RACER 21 62 97 58 27 2603 1097 1524
 SGA-EC 1 3 6 2 3 105 22 24
 Trowel 21 26 376 41 25 647 930 172