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
40/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Short-read RNA-seq of Apis mellifera on the HiSeq 2500 generates 17.6 million reads with moderate quality (90.5% Q20, 62% Q30), suitable for basic transcript abundance estimation in honeybees across colonies, developmental stages, or social contexts. The dataset supports comparative transcriptomics in this social insect model. Q30 ~62% is below optimal thresholds; consider filtering or trimming low-quality positions before variant calling.
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