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Table 4 Per-lane bias statistics for Illumina HiSeq (Kapa) human NA12878

From: Characterizing and measuring bias in sequence data

     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
  1. 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.