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Table 5 Sensitivity of multiple tools on inversion length on 102 samples of the 1000 Genomes Project

From: InvBFM: finding genomic inversions from high-throughput sequence data based on feature mining

INV. Len. (k)

INV. No.

Delly

Lumpy

LumpyEP

Pindel

InvBFM

0.3~0.5

10

80%

90%

90%

30%

90%

0.5~1

42

76.19%

0

0

47.62%

80.95%

1~2.5

73

86.30%

65.75%

60.27%

61.36%

87.67%

2.5~5

111

54.05%

6.31%

6.31%

27.93%

54.95%

5~10

2

100%

50%

50%

50%

100%

  1. Threshold = 3*ISPE. The kernel of SVM is linear, with the penalty factor of 0.1 and the gamma of 20