GSE94388

GEO first seen 2017

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.

Reused by

Protein recoding by ADAR1-mediated RNA editing is not essential... 2017 · 131 cites

Deep data QC

100/100 · A

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

What this means

claude:haiku

Mouse bulk RNA-seq with perfect quality metrics and exceptionally low duplication (6.26%), significantly below typical RNA-seq backgrounds. Base accuracy (Q30=93.1%, mean=36.1) and zero adapter contamination make this highly reusable for expression quantification.

Data type / assay

bulk-RNA-seq

Organism

Mus musculus

Metrics (value · how obtained)

n content pct 0.001 measured

pct q20 bases 97.4 measured

pct q30 bases 93.1 measured

gc content pct 49.7 measured

mean read length 101 measured

mean base quality 36.1 measured

adapter content pct 0.28 measured

duplication rate pct 6.26 measured

How this grade was computed

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

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 93.1 measured ×1 100%

mean base quality 36.1 measured ×0.6 100%

adapter content pct 0.28 measured ×0.4 100%

duplication rate pct 6.26 measured ×0.4 100%

QC cost 25 s compute

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0