SRX873912
SRAProvenance — who produced it, who reused it
Linked to 0 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.
No linked papers found in the corpus yet.
Deep data QC
91/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This is bulk RNA-seq from the Asian longhorned beetle (Anoplophora glabripennis) on an Illumina HiSeq 2000, and on QC terms it earns a solid A (91/100) as a fully measured library you can confidently reuse. The grade is anchored by excellent base-call quality — 89.9% of bases at Q30 and a mean base quality of 35.4, with negligible adapter (0.01%) and N content — meaning reads are clean and trustworthy for alignment and expression quantification with minimal trimming. The one real drag is a duplication rate of 52.45%, which scored only 50/100 and is the single metric pulling the grade down; for RNA-seq some duplication is expected from highly expressed transcripts, but a level this high can also signal limited library complexity or PCR over-amplification, so deduplication choices may bias quantification and you should check complexity before relying on lowly-expressed genes. Crucially, all quality-driving metrics here are directly measured (evidence_strength=1), so this reading is firm rather than provisional, though the total_reads/total_bases counts are reported rather than independently verified.
The A grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.