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Table 2 Comparison of assembled genome fractions, CPU time consumed for assembly and peak memory usage of assembly before and after binning the reads

From: Binning long reads in metagenomics datasets using composition and coverage information

Dataset

Assembly tool

Genome fraction

CPU hours

Peak memory (GB)

Raw

Binned

Raw

Binned

Raw

Binned

Sim-8

Wtdbg2

98.80%

98.90%

0.26

0.84

9.28

0.96

MetaFlye

99.90%

99.85%

16.13

11.64

44.12

10.65

Sim-20

Wtdbg2

97.84%

99.19%

0.16

2.28

10.60

0.92

MetaFlye

99.80%

99.75%

19.44

20.28

44.70

11.23

Sim-50

Wtdbg2

97.83%

98.06%

6.03

5.98

15.7

2.68

MetaFlye

99.35%

98.43%

23.03

20.01

64.21

14.58

Sim-100

Wtdbg2

91.70%

93.67%

9.2

9.1

36.16

10.84

MetaFlye

97.68%

98.01%

69.79

59.89

116.11

27.48

ZymoEVEN

Wtdbg2

55.17%

58.63%

1.37

1.38

11.07

2.88

MetaFlye

86.51%

86.55%

15.17

13.05

31.67

14.57

MSA-1003\(^{\dagger }\)

Wtdbg2

67.45%

82.50%

0.31

1.05

23.43

19.61

MetaFlye

91.40%

91.74%

155.96

158.59

62.28

45.38

SRX9569057

Wtdbg2

40.40%

73.02%

0.26

1.56

21.72

3.88

MetaFlye

77.73%

73.68%

122.00

116.20

57.91

26.31

SRX9569058

Wtdbg2

37.51%

80.65%

0.30

1.98

30.79

3.86

MetaFlye

79.16%

79.63%

211.61

212.58

87.62

41.37

SRX9569059

Wtdbg2

41.00%

80.38%

0.26

1.82

25.63

3.80

MetaFlye

79.69%

77.46%

152.64

129.41

62.62

30.56

  1. \(\dagger\) Genome fraction computed from species with at least 0.1% abundance
  2. The best performance values and bin estimations are highlighted in bold text