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
75/100 · CStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
HiSeq 2000 bulk RNA-seq from Apis mellifera yields ~36 million short reads (7.26 billion bases, 86.1% Q30), high coverage enabling comprehensive transcriptome profiling in the honey bee. This dataset supports differential expression studies and detection of moderate to low-abundance transcripts. Bulk sequencing lacks cell-type specificity; reuse is excellent for tissue-level or developmental transcriptomic studies of bee biology and immunity.
The C 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