Corpus 1,273 assessed · 1,174 scored · 643 reproduced ≥75 · 169 flagged ·∅ 74.1/100
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GSE112766

GEO first seen 2021

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

Deep data QC

83/100 · B

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 of Mus musculus via HiSeq 2500 with excellent quality (98.9% Q30, 0.029% N content) and high GEO UID verification. This dataset supports robust mouse gene expression profiling across tissues or experimental conditions. The exceptional base quality enables sensitive detection of lowly-expressed transcripts and confidence in downstream differential expression analysis.

Data type / assay
bulk-RNA-seq
Organism
Mus musculus
Instrument
Illumina HiSeq 2500
Platform
ILLUMINA
Read type
short-read
Files available
FASTQ (raw reads)
N numbers (samples, groups)
12 / 12 runs
Completeness
100%
Metrics (value · how obtained)
checksum ok yes reported
total bases 20982441114 reported
total reads 411420414 reported
n content pct 0.029 measured
pct q20 bases 99.6 measured
pct q30 bases 98.9 measured
gc content pct 49.9 measured
mean read length 51 measured
mean base quality 40 measured
adapter content pct 39.96 measured
duplication rate pct 18.19 measured
supplementary file types TXT reported
How this grade was computed
Weighted mean of 4 scored metric(s) → 83/100

The B 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 98.9 measured ×1 100%
mean base quality 40 measured ×0.6 100%
adapter content pct 39.96 measured ×0.4 0%
duplication rate pct 18.19 measured ×0.4 100%
QC cost 25 s compute

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