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
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This HiSeq 2000 RNA-seq from the honey bee Apis mellifera delivered 7.3B bases across 36.6M short reads with moderate Q30 content (90.2%), supporting large-scale transcriptome surveys suitable for temporal and tissue-specific gene expression studies. The 38.6% GC content reflects typical eukaryotic transcriptomes. Reuse works well for differential expression and pathway analysis; note the older instrument platform may have different error profiles than contemporary sequencers.
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