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Table 1 Statistics of the multiple sequencing datasets in our study

From: Accuracy benchmark of the GeneMind GenoLab M sequencing platform for WGS and WES analysis

Samples

Library Type

Sequencing Platform

Read (M)

Bases (Gb)

Duplication rate (%)

>Q20

>Q30

Alignment rate (%)

Mean coverage (X)

%_bases_above_15x

GL_WGS_22

WGS

GenoLab M

442.77

66.42

1.73%

95.35%

88.26%

99.88%

22.39

81.30%

GL_WGS_33

WGS

GenoLab M

662.66

99.40

1.93%

95.22%

87.99%

99.88%

33.50

93.90%

NA_WGS_22

WGS

NovaSeq 6000

424.9

63.73

3.57%

95.92%

90.05%

99.64%

21.37

87.30%

NA_WGS_33

WGS

NovaSeq 6000

655.83

98.38

5.32%

95.92%

90.05%

99.64%

32.99

97.70%

GL_WES_100

WES Agilent V8

GenoLab M

41.87

6.28

6.00%

93.95%

84.71%

99.95%

112.42

98.00%

GL_WES_raw

WES Agilent V8

GenoLab M

70.36

10.55

9.71%

93.95%

84.71%

99.95%

188.90

99.00%

NA_WES_100

WES Agilent V8

NovaSeq 6000

39.35

5.90

14.85%

98.01%

94.05%

99.95%

107.72

99.30%

NA_WES_raw

WES Agilent V8

NovaSeq 6000

81.16

12.17

26.78%

98.01%

94.05%

99.95%

222.19

99.60%

NT_WES_100

WES Agilent V8

NextSeq 550

37.54

5.56

5.67%

86.62%

79.06%

99.83%

101.13

99.30%

NT_WES_raw

WES Agilent V8

NextSeq 550

131.76

19.50

17.54%

86.61%

79.06%

99.83%

354.92

99.60%