Skip to main content

Table 2 Peak calling, sensitivity and specificity

From: A comparative study of ChIP-seq sequencing library preparation methods

Method

Input Amount (ng)

Mean number of peaks called

Mean number of reference peaks overlapped by sample peaks

Mean number of sample peaks not found in reference dataset

Mean sensitivity (% reference peaks detected)

Mean specificity (% method peaks found in reference dataset)

PCR-free

100

19 221 ± 157

17 124 ± 0

2 097 ± 157

100 %

89 %

Accel-2S

1

18 190 ± 123

16 574 ± 38

1 616 ± 115

97 %

91 %

 

0.1

18 179 ± 124

16 505 ± 62

1 675 ± 103

96 %

91 %

Bowman

1

19 082 ± 334

16 096 ± 111

2 986 ± 228

94 %

84 %

 

0.1

18 986 ± 365

16 155 ± 48

2 831 ± 384

94 %

85 %

SeqPlex

1

21 382 ± 265

13 612 ± 78

7 770 ± 255

79 %

64 %

 

0.1

35 867 ± 3 861

13 905 ± 113

21 962 ± 3 902

81 %

39 %

SMART

1

17 906 ± 765

15 723 ± 99

2 182 ± 807

92 %

88 %

 

0.1

19 893 ± 3 196

15 622 ± 166

4 271 ± 3 349

91 %

80 %

TELP

1

20 529 ± 1 592

15 528 ± 81

5 001 ± 1 641

91 %

76 %

 

0.1

20 149 ± 1 619

15 370 ± 105

4 778 ± 1 683

90 %

77 %

ThruPLEX

1

18 377 ± 152

16 462 ± 36

1 916 ± 138

96 %

90 %

 

0.1

18 015 ± 178

16 298 ± 44

1 717 ± 200

95 %

90 %

  1. Peaks were called using MACS, using only 5.5 million uniquely mapping non-duplicate reads per sample. Peak regions present in all three PCR-free datasets (n = 17,124) were used as the reference dataset to which all other samples were compared to measure sensitivity and specificity. Data presented are mean +/− standard deviation