GSE96641

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

Genome-wide screen for differentially methylated long noncoding... 2017 · 72 cites

Deep data QC

92/100 · A

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

What this means

claude:haiku

High-quality mouse bulk-RNA-seq with exceptional base metrics (Q30=94.2%, mean=38.8) and minimal adapter content (2.83%). Moderate-to-high duplication (48.71%) is the primary constraint. Suitable for reuse in most expression workflows.

Data type / assay

bulk-RNA-seq

Organism

Mus musculus

Metrics (value · how obtained)

n content pct 0.001 measured

pct q20 bases 97.6 measured

pct q30 bases 94.2 measured

gc content pct 48.4 measured

mean read length 101 measured

mean base quality 38.8 measured

adapter content pct 2.83 measured

duplication rate pct 48.71 measured

How this grade was computed

Weighted mean of 4 scored metric(s) → 92/100

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 94.2 measured ×1 100%

mean base quality 38.8 measured ×0.6 100%

adapter content pct 2.83 measured ×0.4 95%

duplication rate pct 48.71 measured ×0.4 58%

QC cost 25 s compute

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