Fig. 2

Statistical algorithm improves the precision of circular RNA detection. a Circular junctions with at least one aligned read are divided into two groups based on posterior probabilities: greater than 0.5 (orange); 0.5 or less (purple). Density distributions of the read counts are shown for each group in a representative ENCODE tissue sample (adult heart). b Cumulative distribution of posterior probability for circular RNA detected (read count ≥ 1) in poly(A) + and poly(A)- ENCODE H1 human embryonic stem cell line. Higher posterior probability indicates increased confidence that a circle is a true positive versus an artifact. c Putative circles with the highest read counts (labeled in red) in the H1 poly(A) + sample are identified as false positives. d Cumulative distribution of p value calculated based on the naïve model described in “Materials and methods”, using the same paired-end data used in panel (b). Higher p value indicates increased confidence that a circle is a true positive versus an artifact