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
69/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Below-average 454 pyrosequencing RNA-seq with compromised Q30 coverage at 75.5%, typical of 454 but problematic for error-sensitive applications; long reads (302.1bp) support assembly-based discovery but high per-base error rates demand strict quality filtering to prevent spurious variants. Suitable for coarse-grain transcript cataloging; not recommended for SNP discovery or precise isoform quantification.
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