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
58/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
HiSeq 2000 short-read RNA-seq of Apis mellifera (honeybee) with 45.3 million reads but elevated N-content (0.15%) and lower Q30 75.9% (Q20 84%) provides very deep-coverage transcriptomics with moderate base quality, suitable for expression quantification despite QC concerns. The 39.6% GC and high read depth enable identification of highly expressed genes, though base-calling accuracy issues warrant filtering for sensitive isoform-level 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