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
This Melitaea cinxia (Glanville fritillary butterfly) bulk RNA-seq from a NextSeq 500 yielded 6.2 million short reads (944.1 million bases) with solid quality (95.8% Q20, 94.1% Q30). The 42.5% GC content fits this lepidopteran species' transcriptome profile and supports gene expression quantification and transcriptomic studies. The read count and sequencing depth suit differential expression analysis in moderately replicated multi-group designs.
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