SRX5716730

ENA 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

This food-production-metagenome amplicon on Illumina MiSeq covers only 4.8 Mb with 9.6k reads and good quality (93.8% Q20, 90.6% Q30), providing a minimal targeted survey of microbial composition in a food-processing environment. The tiny dataset limits breadth but may suit targeted-pathogen detection. Food safety and production microbiology can use this amplicon-seq for rapid microbial screening.

Data type / assay

amplicon

Organism

food production 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 4752541 reported

total reads 9598 reported

n content pct 0.024 measured

pct q20 bases 93.8 measured

pct q30 bases 90.6 measured

gc content pct 48.4 measured

mean read length 248.2 measured

mean base quality 35.6 measured

adapter content pct 0 measured

duplication rate pct 94.06 measured

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 90.6 measured ×1 100%

adapter content pct 0 measured ×0.5 100%

QC cost 1 s compute

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