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
94/100 · 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 generates ~25.6 million reads at high base quality (97.3% ≥Q20), enabling comprehensive transcriptome profiling of the honey bee for studies of social behavior, immunity, and development. The substantial read depth and high quality support robust quantification. Reuse for caste-specific transcriptomics 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