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
33/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
HiSeq 2500 bulk RNA-seq from Apis mellifera carnica yields ~29.3 million short reads (2.93 billion bases, 60.1% Q30), good coverage but with notably lower Q30 requiring quality consideration. This dataset supports transcript quantification with careful filtering; differential expression studies need attention to base quality. Bulk sequencing lacks cell-type specificity; reuse suits tissue-level transcriptomic studies of Apis, with stringent quality control.
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