Corpus 1,275 assessed · 1,176 scored · 644 reproduced ≥75 · 170 flagged ·∅ 74.1/100
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SRX2056697

ENA first seen 2016

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

This soil-metagenome amplicon on Illumina MiSeq spans 512 Mb with ~1 million reads but shows elevated N-content (2.636%) and low quality (52.4% Q20, 46.6% Q30), typical of complex environmental samples with contaminant DNA. Despite quality limitations, the dataset captures microbial community composition via targeted amplicon regions. Environmental microbiology and soil-ecology studies can use this soil metagenome amplicon-seq as a community-census snapshot, though taxonomic assignments should account for lower read fidelity.

Data type / assay
amplicon
Organism
soil metagenome
Instrument
Illumina MiSeq
Platform
ILLUMINA
Read type
short-read
Files available
FASTQ (raw reads)
N numbers (samples, groups)
1 runs
Metrics (value · how obtained)
checksum ok yes reported
total bases 512577500 reported
total reads 1025155 reported
n content pct 2.636 measured
pct q20 bases 52.4 measured
pct q30 bases 46.6 measured
gc content pct 46.4 measured
mean read length 250 measured
mean base quality 21.9 measured
adapter content pct 0.05 measured
duplication rate pct 71.65 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 46.6 measured ×1 0%
adapter content pct 0.05 measured ×0.5 100%
QC cost 1.2 min compute

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