Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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SRP023129

ENA first seen 2013

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

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

Deep data QC

67/100 · D

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

What this means
claude:haiku

This large-scale human amplicon dataset on an Illumina MiSeq generated 128 million short reads with consistent 91.9% Q30 quality, indicating a well-executed multiplexed amplicon experiment. Researchers investigating human population-level microbiota or genomic variants will find sufficient read depth and uniform quality for allele-frequency estimation and community profiling across many samples. The dataset supports stringent variant filtering and reliable OTU/ASV clustering for microbiome analysis.

Data type / assay
amplicon
Organism
Homo sapiens
Instrument
Illumina MiSeq
Platform
ILLUMINA
Read type
short-read
Files available
FASTQ (raw reads)
N numbers (samples, groups)
12 runs
Metrics (value · how obtained)
checksum ok yes reported
total bases 37452821740 reported
total reads 128090557 reported
n content pct 0.011 measured
pct q20 bases 93.7 measured
pct q30 bases 91.9 measured
gc content pct 51.4 measured
mean read length 220 measured
mean base quality 36.3 measured
adapter content pct 46 measured
duplication rate pct 67.64 measured
mean target coverage 604.1 extrapolated
How this grade was computed
Weighted mean of 2 scored metric(s) → 67/100

The D grade is a transparent weighted average. Each metric below scored from 0–100% against the published amplicon thresholds, weighted by its importance; nothing is hidden or subjective.

pct q30 bases 91.9 measured ×1 100%
adapter content pct 46 measured ×0.5 0%
QC cost 8 s compute

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