Skip to main content

Table 2 The number of false positive and false negative contigs generated by each assembler for the simulated community, together with the sensitivity rates

From: Choice of assembly software has a critical impact on virome characterisation

 

False positives

False negative

True positives

No. of contigs returneda

Sensitivity

ABSS (k-mer 63)

0

111

461

7957

80.59

ABySS (k-mer 127)

1

123

449

7732

78.50

CLC

34

5

567

9152

99.13

Geneious

9

190

382

958

66.78

IDBA UD

25

9

563

8999

98.43

MEGAHIT

21

8

564

10,083

98.60

MetaVelvet

N/A

N/A

N/A

N/A

N/A

MIRA

4

13

559

27,600

97.73

Ray Meta

0

213

359

4224

62.76

SOAPdenovo2

536

116

456

11,548

79.72

SPAdes

29

3

569

8230

99.48

SPAdes meta

5

14

558

7419

97.55

SPAdes sc

38

7

565

9506

98.78

SPAdes sc careful

40

6

566

9724

98.95

Velvet

1

65

507

6343

88.64

VICUNA

0

558

14

4

2.45

  1. a572 in community