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Table 1 Monte Carlo simulation-based comparison of the observed and expected number of variants uniquely detected by each experimental approach and in the intersection of all setups. The difference between the observed and expected distributions was significant for both SNPs and indels (chi-square test, p < 2.2 × 10− 16). Furthermore, the observed versus expected ratios of unique variants under each setup and in the intersection of all setups were all significantly higher than 1, as indicated by the 95% confidence intervals. CI: Confidence interval, CG: Complete Genomics; MOL: Illumina HiSeq; HSX: Illumina HiSeq X

From: Reliability of genomic variants across different next-generation sequencing platforms and bioinformatic processing pipelines

Setup

SNPs

indels

Observed

Expected

Ratio (95% CI)

Observed

Expected

Ratio (95% CI)

CG unique

83,820

449

186.51 (170.71 to 205.96)

47,640

6602

7.22 (7.05 to 7.38)

MOL + Isaac unique

46,188

556

83.05 (76.22 to 90.75)

31,978

5994

5.33 (5.21 to 5.47)

HSX + Isaac unique

84,587

881

96.05 (90.08 to 102.78)

55,376

17,455

3.17 (3.13 to 3.22)

MOL + GATK unique

25,309

530

47.75 (43.94 to 52.18)

37,960

24,442

1.55 (1.54 to 1.57)

HSX + GATK unique

40,320

633

63.67 (59.03 to 68.93)

148,008

51,200

2.89 (2.87 to 2.91)

Intersection all

2,942,659

2,087,460

1.41 (1.409 to 1.41)

214,730

42,853

5.01 (4.97 to 5.05)