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
60/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This human WGS on HiSeq 2500 covers only 1.95 Gb with 3.9 million reads at ultra-shallow ~0.6× extrapolated depth, representing minimal coverage unsuitable for variant discovery or individual genome characterization. The good base quality (95.9% Q20, 93.3% Q30) cannot compensate for the insufficient read depth. This dataset illustrates a low-coverage approach better suited for ultra-large population studies where individual accuracy is sacrificed for sample-size breadth.
The D grade is a transparent weighted average. Each metric below scored from 0–100% against the published WGS 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