Corpus 1,280 assessed · 1,181 scored · 646 reproduced ≥75 · 170 flagged ·∅ 74/100
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PRJNA602878

BioProject first seen 2020

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

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

16S amplicon dataset from Mus musculus via Illumina HiSeq 2500, delivering 946,000 reads with perfect quality metrics (100% Q20 and Q30 accuracy) and zero N content. Ideal for murine microbiota compositional analysis and taxonomic profiling; the 45.4% GC composition and flawless sequence fidelity enable direct OTU/ASV assignment without quality filtering. Though smaller in read volume, the pristine data quality compensates and supports robust statistical inference of dominant bacterial taxa.

Data type / assay
amplicon
Organism
Mus musculus
Instrument
Illumina HiSeq 2500
Platform
ILLUMINA
Read type
short-read
Files available
FASTQ (raw reads)
N numbers (samples, groups)
9 runs
Metrics (value · how obtained)
checksum ok yes reported
total bases 1631862108 reported
total reads 946698 reported
n content pct 0 measured
pct q20 bases 100 measured
pct q30 bases 100 measured
gc content pct 45.4 measured
mean read length 2068.6 measured
mean base quality 30 measured
adapter content pct 0.04 measured
duplication rate pct 1 measured
mean target coverage 30.2 extrapolated
How this grade was computed
Weighted mean of 2 scored metric(s) → 100/100

The A 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 100 measured ×1 100%
adapter content pct 0.04 measured ×0.5 100%
QC cost 7 s compute

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