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
96/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Honey bee bulk RNA-seq with excellent technical quality. Grade A (96/100) reflects no adapter contamination and outstanding base quality (95.1% Q30, 39 mean), enabling precise expression calling; duplication at 39.87% (scored 78/100) is the sole limiting factor but acceptable for most RNA-seq workflows. Recommended for reuse in expression and splice variant studies.
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