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
88/100 · BStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This Epargyreus clarus bulk RNA-seq on an Illumina HiSeq 4000 contains 25.9 million short reads (7.47 billion bases) with moderate quality (91.5% Q20, 86.3% Q30). The 45.5% GC content is notably higher than the companion Epargyreus dataset, suggesting possible tissue-type or treatment differences. The lower Q30 rate warrants aggressive quality filtering; pair with higher-quality data for expression comparisons. High absolute read count suits discovery of abundant and moderately-expressed transcripts.
The B 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