SRX873913
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
89/100 · BStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This is a bulk RNA-seq library from the Asian longhorned beetle (Anoplophora glabripennis) sequenced on an Illumina HiSeq 2000, and it earns a solid B (89/100) with all scored metrics actually measured, so the reading is firm rather than provisional. The grade is propped up by excellent base-call quality — a mean Q of 35.1 and 89.3% of bases at Q30, with negligible adapter (0.01%) and N content — meaning per-base accuracy is high and little trimming is needed before alignment. The single factor holding it back is a high duplication rate of 54.97% (scored 44/100), which for RNA-seq partly reflects genuinely abundant transcripts but also signals possible PCR/optical redundancy that can bias expression estimates and inflate apparent depth; you should deduplicate cautiously and treat effective library complexity as lower than the raw 33M reads suggest. Overall the data are trustworthy for differential-expression and assembly reuse, but plan for the duplication when judging quantitative sensitivity.
The B 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.