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
19/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This Illumina HiSeq 2500 bulk RNA-seq of Saccharomyces cerevisiae generates ~20 million reads (~1 Gb) with moderate quality (87.7% Q20, 73% Q30) from an older instrument, enabling yeast-transcriptome profiling despite moderate data quality. The model-organism context supports robust analysis despite suboptimal sequencing metrics. Researchers seeking yeast transcriptomics will find this useful.
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