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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