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
Bulk short-read RNA-seq with well-controlled technical duplicates (25.37%) but Q30 bases at 86.9% represent the primary constraint (weight 1.0, scored 84/100) for base-call precision. High read count (20.76M) and clean adapters (0.01%) support reliable abundance quantification. Recommended for reuse in standard workflows.
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