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
70/100 · CStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
SARS-CoV-2 amplicon, Illumina NovaSeq. C-grade (70/100) with dual penalties: moderate adapter content (12.09%) and the lowest Q30 in the SARS-CoV-2 set (88.8%), indicating both library prep and template quality degradation. The combination raises false-discovery risk; reuse is marginal and conditional on high-confidence filtering of marginal-quality reads.
The C 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