GSE85791
GEOProvenance — who produced it, who reused it
Linked to 0 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.
No linked papers found in the corpus yet.
Deep data QC
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This is a human bulk RNA-seq dataset, and its QC reading is robust rather than provisional: every contributing metric was directly measured (evidence_strength=1), so the perfect 100/100 grade-A verdict rests on real FastQC-style measurements, not extrapolation, despite the incidental 429 fetch error on auxiliary metadata. The grade is driven chiefly by the highest-weighted metric, pct_q30_bases at 93.9% (paired with a mean base quality of Phred 36.4), meaning the overwhelming majority of bases clear the Q30 accuracy threshold — a strong signal that read-level base calls are trustworthy for variant calling and confident transcript quantification. Adapter contamination is low (1.79%), so minimal trimming overhead is expected before alignment. The one metric a reuser should eyeball is the 28.4% duplication rate; it did not penalize the score and is typical of RNA-seq libraries where highly expressed transcripts inflate duplicates, but if your downstream analysis is duplication-sensitive you should confirm it reflects biological expression rather than low library complexity.
The A 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
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.