Skip to main content

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