Fig. 2

Performance evaluation of Circm6A. A Bar plot showing the performance of Circm6A and other eight known circRNA detection tools in the identification of circRNAs using public RNA-seq dataset consist of RNase R-treated or untreated samples. RNase R-depleted represents circRNAs that were depleted after RNase R treatment. Unaffected represents circRNAs that were enriched 1–5-fold after RNase R treatment. RNase R resistant represents circRNAs that were enriched ≥ 5-fold after RNase R treatment. B Bar plot showing the performance of Circm6A and other eight known circRNA detection tools in the identification of circRNAs using simulated datasets. C Bar plot showing the performance of Circm6A and other eight known circRNA detection tools in the identification of m⁶A-circRNAs using simulated MeRIP-seq datasets with fragmentation of RNA after MeRIP. D Bar plot showing the performance of Circm6A and other eight known circRNA detection tools in the identification of m⁶A-circRNAs using simulated MeRIP-seq datasets with fragmentation of RNA before MeRIP. BSJ-proximal, distance of m⁶A in circRNAs to BSJ within fragment length; BSJ-distal, m⁶As of circRNAs distal to BSJ (distance to BSJ over fragment length). E Saturation curve to access the impact of sequencing depth on the identification of circRNAs and m⁶A-circRNAs, respectively. M, million