GSE130147

GEO first seen 2019

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

Adipose HuR protects against diet-induced obesity and insulin re... 2019 · 95 cites

Deep data QC

97/100 · 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 transcriptome data generated via bulk RNA-seq with 150 bp reads and strong base quality (93.3% Q30, 97.4% Q20) support transcript abundance estimation and gene expression comparisons. Moderate adapter content (5.7%) is present but not prohibitive; standard trimming workflows can remediate this prior to alignment. The dataset is suitable for reuse in differential expression and pathway analysis studies.

Data type / assay

bulk-RNA-seq

Organism

Mus musculus

Metrics (value · how obtained)

n content pct 0.004 measured

pct q20 bases 97.4 measured

pct q30 bases 93.3 measured

gc content pct 48.4 measured

mean read length 150 measured

mean base quality 38.6 measured

adapter content pct 5.7 measured

duplication rate pct 28.46 measured

How this grade was computed

Weighted mean of 4 scored metric(s) → 97/100

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 93.3 measured ×1 100%

mean base quality 38.6 measured ×0.6 100%

adapter content pct 5.7 measured ×0.4 79%

duplication rate pct 28.46 measured ×0.4 100%

QC cost 28 s compute

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