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
92/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
RNA-Seq of Apis mellifera on an Illumina HiSeq 2000 yields ~26.9 million reads at high base quality (97% ≥Q20), enabling comprehensive transcriptome profiling of the honey bee for developmental and behavioral studies. The substantial read depth and quality support robust quantification. Reuse for comparative transcriptomics across bee castes is well-supported.
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