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
Whole-genome sequencing of Escherichia coli B str. REL606 via Illumina MiSeq, yielding 30 million short reads and 16.6 billion bases with moderate quality (89% Q20, 77.9% Q30) and the expected 50.4% GC. Enables strain genome assembly, mutation discovery, and population genetics in this canonical laboratory E. coli reference strain; the notably lower Q30 compared to HiSeq platforms may necessitate more aggressive quality filtering or read overlap assembly strategies. Despite reduced base quality, the read count provides sufficient coverage for core genome SNP calling and chromosomal rearrangement detection.
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