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 NextSeq 550 amplicon sequencing run for SARS-CoV-2 offers 2.3 million high-quality short reads (99.1% Q20, 98.5% Q30) totaling 671.7 million bases, enabling robust variant discovery across amplicon targets. The minimal N-content and stable 39% GC content reflect reliable enzymatic amplification without contamination or bias. Suitable for detecting both major variants and low-frequency genetic heterogeneity depending on per-amplicon read depth in your multiplexed library.
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