Table 4

Per-lane bias statistics for Illumina HiSeq (Kapa) human NA12878

Relative coverage

Data set

GC extremes

Special motifs

Flowcell

#

Lane

Library

GC ≤ 10%

GC ≥ 75%

GC ≥ 85%

(AT)¹⁵

G|C ≥ 80%

Bad promoters

C0G7VACXX

14a

1

A

0.39

0.93

0.49

0.25

0.53

0.37

14b

2

A

0.39

0.93

0.50

0.25

0.53

0.39

14c

3

B

0.41

0.86

0.46

0.25

0.50

0.36

14d

5

B

0.41

0.85

0.45

0.26

0.50

0.36

14e

6

C

0.42

0.83

0.38

0.26

0.49

0.30

14f

7

C

0.42

0.83

0.37

0.26

0.49

0.31

D0K2WACXX

14g

1

B

0.41

0.89

0.55

0.25

0.85

0.38

14h

2

B

0.40

0.89

0.56

0.25

0.85

0.39

14i

3

B

0.41

0.89

0.56

0.25

0.86

0.40

14j

4

A

0.39

0.96

0.61

0.25

0.96

0.41

14k

5

C

0.42

0.85

0.43

0.26

0.70

0.32

14l

6

C

0.43

0.85

0.43

0.26

0.68

0.33

14m

7

C

0.42

0.86

0.44

0.26

0.71

0.32

14n

8

A

0.39

0.97

0.62

0.25

0.95

0.41

Bias statistics for the lanes and libraries that compose the HiSeq v3 (low-input Fisher et al. [31] with Kapa reagents) human data set (data set 14 in Table 2). Letters identify the libraries (A = Solexa-77484, B = Solexa-77486, C = Solexa-77483), which were all made using the same protocol.

Ross et al. Genome Biology 2013 14:R51   doi:10.1186/gb-2013-14-5-r51