Corpus 1,277 assessed · 1,178 scored · 644 reproduced ≥75 · 170 flagged ·∅ 74/100
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PRJNA297268

BioProject 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

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

Deep data QC

33/100 · F

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

What this means
claude:haiku

16S rRNA amplicon sequencing of human gut microbiome via MiSeq with ~16M short reads but notably poor quality (only 48.1% Q30, despite 0% N content), representing a problematic dataset. This dataset requires extensive quality filtering before reliable taxonomic assignment, and researchers should consider the limited usability for sensitive ecological inference. The low Q30 rate suggests either amplicon chimera artifacts or sequencing instrument issues.

Data type / assay
amplicon
Organism
human gut metagenome
Instrument
Illumina MiSeq
Platform
ILLUMINA
Read type
short-read
Files available
FASTQ (raw reads)
N numbers (samples, groups)
84 runs
Metrics (value · how obtained)
checksum ok yes reported
total bases 5148513957 reported
total reads 16283758 reported
n content pct 0 measured
pct q20 bases 84.1 measured
pct q30 bases 48.1 measured
gc content pct 56.2 measured
mean read length 151.7 measured
mean base quality 27.6 measured
adapter content pct 0 measured
duplication rate pct 94.51 measured
How this grade was computed
Weighted mean of 2 scored metric(s) → 33/100

The F 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 48.1 measured ×1 0%
adapter content pct 0 measured ×0.5 100%
QC cost 2 s compute

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