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
69/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
SARS-CoV-2 amplicon achieving highest D-grade score (69/100) due to lowest adapter contamination in this cohort (13.91%, measured, scoring 8/100). Despite excellent base quality (Q30=96.7%, mean Q=36.5, measured) and large depth (3.6M reads), residual adapter still constrains reliability for quantitative applications. Marginal for reuse post-trimming.
The D grade is a transparent weighted average. Each metric below scored from 0–100% against the published amplicon 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