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
68/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Hybrid short and long-read whole-genome sequencing of Escherichia coli via MiSeq with ~4.3M reads, but showing zero Q20 and Q30 bases, indicating potential data quality issues or unconventional quality encoding. This dataset combines different read lengths for genome assembly but the zero-quality metrics require clarification before confident reuse. Researchers should contact data providers to verify quality metrics or examine raw sequencing data directly.
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