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

SRX847094

ENA first seen 2019

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 Ion Torrent Proton amplicon dataset from Homo sapiens contains ~358 million reads generating ~66.8 Gb of sequence for targeted studies, but with substantially lower base quality (82.7% Q20, 3% Q30) typical of Ion Torrent chemistry limitations. The large volume supports high-throughput targeted genotyping despite quality limitations. Researchers seeking Ion Torrent amplicon data will find this relevant.

Data type / assay
amplicon
Organism
Homo sapiens
Instrument
Ion Torrent Proton
Platform
ION_TORRENT
Read type
short-read
Files available
FASTQ (raw reads)
N numbers (samples, groups)
4 runs
Metrics (value · how obtained)
checksum ok yes reported
total bases 66817429723 reported
total reads 358833290 reported
n content pct 0 measured
pct q20 bases 82.7 measured
pct q30 bases 3 measured
gc content pct 60.1 measured
mean read length 183.8 measured
mean base quality 23.1 measured
adapter content pct 0 measured
duplication rate pct 76.41 measured
mean target coverage 1077.7 extrapolated
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 3 measured ×1 0%
adapter content pct 0 measured ×0.5 100%
QC cost 18 s compute

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