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Fig. 6 | BMC Bioinformatics

Fig. 6

From: QuickMIRSeq: a pipeline for quick and accurate quantification of both known miRNAs and isomiRs by jointly processing multiple samples from microRNA sequencing

Fig. 6

The benefits of joint mapping and “Remapping” of mismatch reads. a If individual samples are processed independently, a total of 1,110,470,294 sequences need to be aligned. This number drops to 47,355,430 if all 64 samples are jointly processed. b The filtering of noisy reads significantly reduces the number of detected miRNAs (Top panel) but barely impacts the total number of mapped miRNA reads (Bottom panel). A read is filtered out if it has ZERO counts in more than 60% of samples, or its average count across all samples is below 2. c For unique mismatch reads, the average invalidation rate is 3.8% (ranging from 2.7 to 6.1%); however, the corresponding average rate is only 0.64% for all mismatched reads. Note the y-axis indicates the percentage of miRNA reads that are invalidated in the “Remapping” step

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BMC Bioinformatics

ISSN: 1471-2105

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