GSE120376

Provenance — who produced it, who reused it

Linked to 5 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.

Reused by

5 further papers cite this accession but reuse could not be confirmed.

Deep data QC

98/100 · A

Standardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured

What this means

claude:haiku

Bulk RNA-seq (Mus musculus). A grade, suitable for reuse. Excellent base quality (Q30=96.1%, mean Q=35.9) with extremely low N-content (0.002%) ensures clean read-to-genome mapping; duplication at 35.33% is slightly elevated but acceptable for RNA-seq.

Data type / assay

bulk-RNA-seq

Organism

Mus musculus

Metrics (value · how obtained)

n content pct 0.002 measured

pct q20 bases 98.1 measured

pct q30 bases 96.1 measured

gc content pct 48 measured

mean read length 50 measured

mean base quality 35.9 measured

adapter content pct 0.01 measured

duplication rate pct 35.33 measured

How this grade was computed

Weighted mean of 4 scored metric(s) → 98/100

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.

pct q30 bases 96.1 measured ×1 100%

mean base quality 35.9 measured ×0.6 100%

adapter content pct 0.01 measured ×0.4 100%

duplication rate pct 35.33 measured ×0.4 88%

QC cost 10 s compute

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.

1 studies use it mean score 70

Predicting enhancers in mammalian genomes using supervised h... L1 70/100