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.
- Nonsense-Mediated Decay Restricts LncRNA Levels in Yeast Unless... 2016 · 125 cites
Deep data QC
81/100 · BStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Yeast (Saccharomyces cerevisiae) bulk RNA-seq with 40 bp reads and good quality (87.8% Q30, 95.8% Q20) supports transcript abundance quantification in this well-characterized organism. The shorter read length is less limiting in yeast due to fewer splice junctions; the dataset is suitable for expression profiling, small RNA detection, and fungal comparative genomics.
The B 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