Corpus 1,280 assessed · 1,181 scored · 646 reproduced ≥75 · 170 flagged ·∅ 74/100
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GSE72910

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

Deep data QC

89/100 · B

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

What this means
claude:haiku

Mouse bulk RNA-seq generated on a NextSeq 500 platform produced 528 million short reads (158.6 billion bases total) with good quality (89.6% Q30, 93.8% Q20), providing comprehensive transcriptome coverage for expression analysis. The large read volume supports robust statistical power for differential expression studies and is suitable for reuse in multi-sample transcriptomics projects.

Data type / assay
bulk-RNA-seq
Organism
Mus musculus
Instrument
NextSeq 500
Platform
ILLUMINA
Read type
short-read
Files available
FASTQ (raw reads)
N numbers (samples, groups)
10 / 10 runs
Completeness
100%
Metrics (value · how obtained)
checksum ok yes reported
total bases 158563071600 reported
total reads 528543572 reported
n content pct 0.014 measured
pct q20 bases 93.8 measured
pct q30 bases 89.6 measured
gc content pct 50.6 measured
mean read length 150 measured
mean base quality 33.7 measured
adapter content pct 11.71 measured
duplication rate pct 12.06 measured
supplementary file types CSV reported
How this grade was computed
Weighted mean of 4 scored metric(s) → 89/100

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 89.6 measured ×1 98%
mean base quality 33.7 measured ×0.6 95%
adapter content pct 11.71 measured ×0.4 46%
duplication rate pct 12.06 measured ×0.4 100%
QC cost 11 s compute

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