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Table 4 Results of Circall, Circall_Count, CIRI2, Mapsplice, CIRCexplorer and find_circ in the experimental datasets

From: Circall: fast and accurate methodology for discovery of circular RNAs from paired-end RNA-sequencing data

Dataset

Method

Enrichment in top 100

Top 100

Top 500

Non-dep

Percent (%)

Non-dep

Percent (%)

Hela

Circall

11

85

85.0

387

77.4

Circall_Count

6

76

76.0

373

74.6

CIRI2

7

73

73.0

375

75.0

find_circ

4

61

61.0

317

63.4

Mapsplice

1

66

66.0

337

67.4

CIRCexplorer

16

74

74.0

383

76.6

Hs68

Circall

78

91

91.0

445

89.0

Circall_Count

61

77

77.0

395

79.0

CIRI2

55

70

70.0

384

76.8

find_circ

52

66

66.0

365

73.0

Mapsplice

62

79

79.0

398

79.6

CIRCexplorer

62

82

82.00

412

82.4

Hek293

Circall

59

97

97.0

473

94.6

Circall_Count

31

89

89.0

453

90.6

CIRI2

34

89

89.0

447

89.4

find_circ

25

81

81.0

407

81.4

Mapsplice ara>

26

90

90.0

437

87.4

CIRCexplorer

36

88

88.0

430

86.0

  1. Column “Non-dep” indicates the number of non-depleted circRNAs and column “Percent” shows the percentage of the non-depleted circRNAs in the top circRNAs. The values with bold text indicate the top-performing methods in the dataset