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
64/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This Homo sapiens bulk RNA-seq delivers good per-base accuracy (Q30=82.6%, Q20=92.8%) on 49 bp reads with elevated GC content (53.7%), suggesting possible bias toward GC-rich transcripts—read length and quality support standard transcript quantification, though GC-bias normalization methods should be considered during expression analysis.
The D 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