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
37/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Short-read RNA-seq on the HiSeq 2500 from Apis mellifera provides 20 million reads with moderate Q30 quality (57.9%) sufficient for abundance-level transcriptomics across developmental or behavioral contexts. The honeybee dataset supports gene expression profiling in this social insect. Lower Q30 rate compared to HiSeq 2000 runs suggests possible sequencing cycle degradation; filter low-quality bases before sensitive variant work.
The F 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