PANDORA-seq: expanding the small RNA repertoire by overcoming RNA modifications
Small non-coding RNAs (sncRNAs) are key molecules regulating gene expression. High-throughput RNA-seq greatly advanced sncRNA discovery; however, traditional cDNA library construction protocols generate biased sequencing results, in part due to RNA modifications that interfere with adapter ligation and reverse transcription processes, preventing the detection of sncRNAs bearing these modifications. Here, we present PANDORA-seq (Panoramic RNA Display by Overcoming RNA modification Aborted Sequenc...
Provenance — who produced it, who reused it
Linked to 3 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
2 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently