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
67/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This NovaSeq 6000 amplicon sequencing for SARS-CoV-2 generated 2.5 million short reads (736.5 million bases) with good Q20 (97.7%) but moderately lower Q30 (92.6%) compared to higher-quality NovaSeq runs. The 39.4% GC content is consistent. Moderate per-base quality requires more stringent filtering, but high read count enables large-scale multiplexing. Suitable for surveillance studies prioritizing throughput and sample number over peak per-base quality.
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