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Table 1 Percent of SNP and INDEL calling sensitivity in simulated data

From: An analytical workflow for accurate variant discovery in highly divergent regions

Type

Div

Cov

Caller

 

(%)

 

GATK UG

Platypus

SAMtools

GATK HC

FreeBayes

SNP

0.05–1.00

10

87.3–89.8 (A)

77.6–83.0 (C)

85.9–88.4 (B)

85.4–87.3 (B)

84.1–88.1 (B)

SNP

0.05–1.00

40–100

96.0–98.5 (A)

87.6–96.0 (D)

95.3–98.2 (B)

95.3–97.4 (C)

93.3–98.6 (C)

SNP

5.00–10.00

10

82.2–88.0 (A)

43.7–59.4 (E)

80.7–85.5 (B)

73.6–84.0 (C)

61.3–74.3 (D)

SNP

5.00–10.00

40–100

91.3–97.4 (A)

42.0–64.1 (E)

90.8–95.1 (B)

85.7–95.3 (C)

65.6–81.6 (D)

INDEL

0.05–1.00

10

42.0–53.5 (D)

69.1–74.9 (A)

63.2–73.1 (C)

69.7–74.5 (A)

67.5–75.3 (B)

INDEL

0.05–1.00

40–100

74.2–82.9 (C)

77.8–85.5 (A)

72.6–82.9 (C)

77.9–83.3 (B)

76.0–84.0 (B)

INDEL

5.00–10.00

10

37.4–47.4 (D)

64.1–70.9 (A)

13.3–47.7 (E)

58.4–69.0 (B)

55.5–65.5 (C)

INDEL

5.00–10.00

40–100

70.5–79.7 (B)

72.8–81.7 (A)

23.6–64.1 (D)

70.8–78.6 (B)

62.4–73.7 (C)

  1. Individual datasets are binned into four groups based on coverage (10x or 40–100x) and divergence (0.05–1.00 % or 5–10 %). The values are the range of sensitivity, calculated per caller from the associated mappers and divergence levels. The five callers within each group are ranked (given in parentheses), with “A” indicating the caller with the highest overall sensitivity. GATK UG GATK UnifiedGenotyper, GATK HC GATK HaplotypeCaller, Div divergence, Cov coverage