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Table 4 Sensitivity of multiple tools on different frequencies on 102 samples of 1000 Genomes Project

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

INV. Freq.

INV. No.

Delly

Lumpy

LumpyEP

Pindel

InvBFM

1~10

10

85.71%

35.71%

35.71%

50.00%

89.29%

11~50

3

51.69%

1.12%

1.12%

31.46%

58.43%

>  50

2

78.51%

44.63%

41.32%

33.06%

79.34%

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