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
63/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This second Oncorhynchus mykiss RNA-Seq on Genome Analyzer IIx covers 9.1 Gb with 45.6 million reads but shows lower quality (86.5% Q20, 77.6% Q30) than the related dataset, suggesting variable library or sequencing conditions in this trout species. The two O. mykiss samples provide replication despite quality differences. Trout transcriptomics can combine both datasets, using quality filtering to manage variation.
The D 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