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 run for SARS-CoV-2 delivered 3.5 million short reads (1.03 billion bases) with good quality (98.5% Q20, 94.6% Q30) and zero N-content, with 39.7% GC content consistent across SARS-CoV-2 amplicon datasets. High throughput enables multiplexing of many samples or deep coverage of a smaller amplicon set. Suitable for studies balancing sample number against per-target sequencing depth requirements.
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