GSE87744

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

Transcription factor TFCP2L1 patterns cells in the mouse kidney... 2017 · 124 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

Rat bulk RNA-seq with excellent sequence quality across all measured dimensions. Perfect scoring on base accuracy (mean Q=36) and adapter content (0%) are the main drivers; moderate duplication (29.43%) is typical and acceptable for RNA-seq. Recommended for reuse.

Data type / assay

bulk-RNA-seq

Organism

Rattus norvegicus

Metrics (value · how obtained)

n content pct 0.499 measured

pct q20 bases 97.7 measured

pct q30 bases 92.5 measured

gc content pct 45.5 measured

mean read length 101 measured

mean base quality 36 measured

adapter content pct 0 measured

duplication rate pct 29.43 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 92.5 measured ×1 100%

mean base quality 36 measured ×0.6 100%

adapter content pct 0 measured ×0.4 100%

duplication rate pct 29.43 measured ×0.4 100%

QC cost 26 s compute

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