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
33/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This MinION long-read bulk RNA-seq dataset from SARS-CoV-2 provides 1.5 million reads and 2.3 billion bases at lower quality (30.7% Q20, 4% Q30) typical of Oxford Nanopore sequencing, but the longer reads enable full-length viral-transcript reconstruction without assembly. The 45.6% GC and platform characteristics support studying viral RNA processing, subgenomic message structure, and defective-genome identification during infection. Researchers can exploit this for transcriptome-wide isoform discovery and validating RNA-secondary-structure predictions.
The F grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq 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