GSE75220

GEO first seen 2016

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

RNA splicing is a primary link between genetic variation and dis... 2016 · 771 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

Human bulk RNA-seq showing excellent quality (97.7% Q30, 99.3% Q20) with 50 bp reads and minimal adapter content is ideal for sensitive expression profiling and biomarker discovery. The combination of high base accuracy and substantial read depth enables reliable detection of weakly-expressed genes and is suitable for reuse in expression quantitative trait loci (eQTL) and precision medicine applications.

Data type / assay

bulk-RNA-seq

Organism

Homo sapiens

Metrics (value · how obtained)

n content pct 0.01 measured

pct q20 bases 99.3 measured

pct q30 bases 97.7 measured

gc content pct 50.9 measured

mean read length 50 measured

mean base quality 37.8 measured

adapter content pct 0.06 measured

duplication rate pct 19.07 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 97.7 measured ×1 100%

mean base quality 37.8 measured ×0.6 100%

adapter content pct 0.06 measured ×0.4 100%

duplication rate pct 19.07 measured ×0.4 100%

QC cost 36 s compute

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