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
77/100 · CStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Bulk RNA-seq of Entelexis geochares on HiSeq 2500 spans 64 billion bases but shows moderately lower quality (82% Q30 bases) and elevated N content (0.066%), indicating potential sequencing run artifacts. While the dataset is large enough for transcript detection and assembly, the quality issues suggest careful quality-control filtering and validation would be necessary before downstream analysis, particularly for low-abundance transcripts.
The C 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