GSE121978

Identifying urinary RNA as non-invasive biomarkers for progression of chronic kidney disease

Organism

Homo sapiens

Samples

80

Type

Non-coding RNA profiling by...

Submitted

2018-10-30

To identify urinary RNA as non-invasive biomarkers for progression of chronic kidney disease

Provenance — who produced it, who reused it

Linked to 2 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.

Deposited / produced by

Thomas TuschlMarkus BitzerJian ShiKlaas MaxKimberly BogardusAnuoluwapo Sopeyin

exRNA Atlas Analysis Reveals Distinct Extracellular RNA Cargo Ty... 2019

Reused by

1 further paper cites this accession but reuse could not be confirmed.

Deep data QC

59/100 · F

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

Data type / assay

bulk-RNA-seq

Organism

Homo sapiens

Metrics (value · how obtained)

n content pct 0.005 measured

pct q20 bases 89.2 measured

pct q30 bases 80.9 measured

gc content pct 49.3 measured

mean read length 51 measured

mean base quality 32.7 measured

adapter content pct 0 measured

duplication rate pct 75.92 measured

How this grade was computed

Weighted mean of 4 scored metric(s) → 59/100

The F 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 80.9 measured ×1 55%

mean base quality 32.7 measured ×0.6 78%

adapter content pct 0 measured ×0.4 100%

duplication rate pct 75.92 measured ×0.4 0%

QC cost 24 s compute

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