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
37/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
454 long-read RNA-seq from Bactrocera dorsalis with grade-F due to platform-intrinsic quality limits: Q30 of 60.7% and mean base quality 30 mean ~40% of bases are <Q30. Combined with 43.3% duplication and 454's error profile, basecall reliability is compromised. Not recommended for reuse without custom error modeling and careful validation.
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