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Fig. 3 | BMC Bioinformatics

Fig. 3

From: Quantification of experimentally induced nucleotide conversions in high-throughput sequencing datasets

Fig. 3

Multimapper recovery strategy in low complexity regions: a Correlation of mESC -4SU SLAMseq vs mESC RNA-seq samples (3 replicates each) for unique-mapping reads vs multi-mapping recovery strategy. Spearman mean correlation of all vs all samples is shown for genes with RNAseq tpm > 0 on the y-axis for increasing cutoffs for percentage of unique bp in the corresponding 3′ UTR. Error bars are indicated in black. b Percentages of reads mapped to correct (left panel) or wrong (right panel) 3′ interval for nucleotide-conversions rates of 0, 2.4 and 7% and 50, 100 and 150 bp read length respectively, when recovering multimappers or using uniquely mapping reads only c Scatterplot of unique vs multi-mapping read counts (log2) of ~ 20,000 3′ intervals colored by relative error cutoff of 5% for genes with > 0 unique and multi-mapping read counts

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