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
95/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This Epargyreus clarus (silver-spotted skipper butterfly) bulk RNA-seq on an Illumina HiSeq 4000 contains 26.8 million short reads (2.1 billion bases) with moderate quality (92.5% Q20, 88.9% Q30). The 41.9% GC content is consistent with Lepidoptera transcriptomes. Suitable for gene expression profiling and comparative transcriptomics, though the Q30 rate is lower than modern standards and may require careful preprocessing. High read count supports detection of moderately expressed transcripts.
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