Skip to main content
Fig. 3 | BMC Bioinformatics

Fig. 3

From: MGcount: a total RNA-seq quantification tool to address multi-mapping and multi-overlapping alignments ambiguity in non-coding transcripts

Fig. 3

Hierarchical assignation evaluation and multi-mapping and multi-overlapping patterns quantification. a Distributions of counts per feature obtained with different quantification strategies in presence and absence of small RNA-long RNA overlaps for long RNA and small RNA features (FC: featureCounts). The 3000 features with highest counts are included in the distributions (including small and long RNA), and their amount is indicated above each distribution. Red stars correspond to the p value of a TOST test (0–0.001: ***, 0.001–0.01: **, 0.01–0.05: *) with equivalence margins at 0.35 log10-normalized counts per million (CPM). b Proportion of reads from a human total-RNA-seq library overlapping to 1, 2 or more annotations according to fractionated alignments assignation (left) and after MGcount assignation by hierarchical rounds (right). c Proportion of reads multi-mapping to a given number of genomic locations (up to 50), according to fractionated alignments assignation (left) and after MG community aggregation by MGcount (right). d Comparison of counts when only uniquely-mapping reads are counted; all alignments are counted, all alignments are fractionally counted as 1 divided by the number of multi-assigments or quantified with MGcount (HBR: Human Brain, sNC: small non-coding; lNC: long non-coding))

Back to article page