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Table 1 Evaluation of deletions (\(\ge\)50bp) in HG002 by RegionIndel, Aquila, Aquila_stLFR, LinkedSV, and Novel-X (chrX and chrY were excluded in the evaluation). Abbreviations: true positives (TP), false positives (FP), false negatives (FN), and genotype (GT)

From: Large indel detection in region-based phased diploid assemblies from linked-reads

Deletions

stLFR

10x

  

RegionIndel

Aquila_stLFR

LinkedSV

Novel-X

RegionIndel

Aquila

LinkedSV

Novel-X

50-1k

benchmark

3605

TP

2563

2963

8

NaN

3210

3318

2013

NaN

TP_GT

2116

2547

NaN

NaN

2796

3001

NaN

NaN

FP

1773

8484

0

NaN

1927

6439

215

NaN

FN

1042

642

3597

NaN

395

287

1592

NaN

Recall

71.1%

82.2%

0.2%

NaN

89.0%

92.0%

55.8%

NaN

Precision

59.1%

25.9%

100.0%

NaN

62.5%

34.0%

90.4%

NaN

F1

64.6%

39.4%

0.4%

NaN

73.4%

49.7%

69.0%

NaN

GT_accuracy

82.6%

86.0%

NaN

NaN

87.1%

90.4%

NaN

NaN

1k-10k

benchmark

481

TP

296

317

92

NaN

419

365

361

NaN

TP_GT

252

293

NaN

NaN

390

339

NaN

NaN

FP

133

285

20

NaN

51

90

54

NaN

FN

185

164

389

NaN

62

116

120

NaN

Recall

61.5%

65.9%

19.1%

NaN

87.1%

75.9%

75.1%

NaN

Precision

69.0%

52.7%

82.1%

NaN

89.1%

80.2%

87.0%

NaN

F1

65.1%

58.5%

31.0%

NaN

88.1%

78.0%

80.6%

NaN

GT_accuracy

85.1%

92.4%

NaN

NaN

93.1%

92.9%

NaN

NaN

>10k

benchmark

29

TP

8

6

27

NaN

16

7

29

NaN

TP_GT

8

6

NaN

NaN

16

7

NaN

NaN

FP

45

99

3

NaN

16

49

25

NaN

FN

21

23

2

NaN

13

22

0

NaN

Recall

27.6%

20.7%

93.1%

NaN

55.2%

24.1%

100.0%

NaN

Precision

15.1%

5.7%

90.0%

NaN

50.0%

12.5%

53.7%

NaN

F1

19.5%

9.0%

91.5%

NaN

52.5%

16.5%

69.9%

NaN

GT_accuracy

100.0%

100.0%

NaN

NaN

100.0%

100.0%

NaN

NaN

\(\ge\)50bp (overall)

benchmark

4116

TP

2871

3286

142

NaN

3648

3694

2408

NaN

TP_GT

2380

2846

NaN

NaN

3204

3350

NaN

NaN

FP

1947

8868

8

NaN

1990

6571

289

NaN

FN

1245

830

3974

NaN

468

422

1708

NaN

Recall

69.8%

79.8%

3.4%

NaN

88.6%

89.7%

58.5%

NaN

Precision

59.6%

27.0%

94.7%

NaN

64.7%

36.0%

89.3%

NaN

F1

64.3%

40.4%

6.7%

NaN

74.8%

51.4%

70.7%

NaN

GT_accuracy

82.9%

86.6%

NaN

NaN

87.8%

90.7%

NaN

NaN