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
97/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
HiSeq X Ten bulk RNA-seq from Galleria mellonella (greater wax moth) yields ~23.7 million short reads (7.11 billion bases, 94.1% Q30), high coverage at good quality enabling comprehensive transcriptome profiling. This dataset supports sensitive differential expression studies in this Lepidoptera model organism. Bulk sequencing lacks cell-type specificity; reuse is excellent for tissue-level or developmental transcriptomic studies of insect immunology and development.
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