Provenance — who produced it, who reused it
Linked to 1 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.
1 further paper cites this accession but reuse could not be confirmed.
Deep data QC
83/100 · BStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
HiSeq 1000 short-read RNA-seq of Spodoptera litura (Asian armyworm) with 3.4 million reads and exceptional Q30 96.7% (Q20 99%) provides small-scale but ultra-high-quality transcriptomics data for this agricultural pest. The 35.8% GC and minimal quality-score variance enable accurate differential expression in tissue, treatment, or instar-specific samples, making this ideal for validation studies.
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