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Table 3 Results of Circall, CIRI2, Mapsplice, CIRCexplorer and find_circ in the simulated datasets

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

Dataset Method # detected circRNA #False positive #true circRNA Sensitivity (%) Precision (%) F1
Mix1 Circall 5644 10 5634 90.06 99.82 0.95
CIRI2 5661 15 5646 90.25 99.74 0.95
Mapsplice 4822 2 4820 77.05 99.96 0.87
CIRCexplorer 5631 25 5606 89.61 99.56 0.94
Mix2 Circall 6503 869 5634 90.06 86.64 0.88
CIRI2 6531 885 5646 90.25 86.45 0.88
Mapsplice 5603 782 4821 77.06 86.04 0.81
CIRCexplorer 6522 917 5605 89.59 85.94 0.88
Mix3 Circall 5940 79 5861 93.69 98.67 0.96
CIRI2 6062 163 5912 94.29 97.31 0.96
Mapsplice 5148 1 5130 82.27 99.98 0.90
CIRCexplorer 5414 39 5372 85.92 99.28 0.92
find circ 5729 184 5545 88.63 96.79 0.93
  1. The values with bold text in the F1 column indicate the top-performing methods in the dataset
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BMC Bioinformatics

ISSN: 1471-2105

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