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
90/100 · AStandardized, 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 33.8 million short reads (2.68 billion bases) with moderate quality (92.4% Q20, 88.8% Q30). The 44.5% GC content falls between the other Epargyreus samples, suggesting variable tissue composition or experimental conditions. Moderate per-base quality requires careful filtering; high read count compensates. Useful for expression profiling when paired with higher-quality replicates.
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