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
51/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Bulk RNA-seq from fly (Therinia lactucina) on HiSeq 2000 (100 bp). Grade F (51/100) with poor base quality as the driver: Q30 only 75.7% (scores 28/100) and mean quality 30.6 (scores 43/100) both fall well below standard. All metrics measured; the low base quality introduces systematic error in base calling and will significantly reduce accuracy for transcript quantification, limiting reuse.
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