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Table 6 Simulated low coverage datasets analysis where the inputs of EIM pipeline are the read set and genome reconstructed by Bowtie2

From: Assessing the impact of exact reads on reducing the error rate of read mapping

Assembly

Exact

EIM (v2)

Bowtie2

 

Exact

EIM (v2)

Bowtie2

DWGSIM simulator

   

ART simulator

   

ReadSet5

   

ReadSet9

   

Contigs-500

172

14

58

 

137

13

56

N50 (kbp)

43.9

735.7

159.6

 

75.2

909.5

175.3

Errors

0

53

64

 

1

45

53

IUPAC-codes

0

36

137

 

0

38

102

Genome-Fraction (%)

98.899

99.991

99.983

 

98.912

99.983

99.965

ReadSet6

   

ReadSet10

   

Contigs-500

163

6

64

 

178

18

63

N50 (kbp)

44.4

1698.5

112.2

 

45.4

485.2

116.9

Errors

1

68

92

 

2

68

83

IUPAC-codes

0

28

95

 

0

39

187

Genome-Fraction (%)

98.843

99.998

99.976

 

98.871

99.988

99.984

ReadSet7

   

ReadSet11

   

Contigs-500

424

11

55

 

425

17

70

N50 (kbp)

16.6

590.9

125.9

 

18

386.6

115.4

Errors

2

185

361

 

6

179

369

IUPAC-codes

0

24

117

 

0

38

151

Genome-Fraction (%)

98.666

99.993

99.985

 

98.697

99.989

99.983

ReadSet8

   

ReadSet12

   

Contigs-500

397

17

56

 

366

13

49

N50 (kbp)

18.9

493.4

141.1

 

21.6

529.5

127.6

Errors

8

190

331

 

8

186

322

IUPAC-codes

0

21

105

 

0

23

121

Genome-Fraction (%)

98.771

99.99

99.979

 

98.799

99.983

99.982

  1. The evaluation metrics has been defined in the text. The columns headed ’Exact’, ’EIM (v2)’ and ’Bowtie2’ represent the contiguity and quality of contigs constructed by ExactMapping step of EIM, EIM (v2) and Bowtie2, respectively. The results of running the pipeline on datasets simulated by DWGSIM and ART are shown in left and right side of the table, respectively