Corpus 1,283 assessed · 1,184 scored · 647 reproduced ≥75 · 173 flagged ·∅ 73.9/100
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SRR1571718

SRA first seen 2021

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

67/100 · D

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

What this means
claude:haiku

miRNA-seq with excellent base quality masked by extreme processing artifacts. Grade D reflects adapter content at 97.91% and duplication 80.24%, both scored 0/100—extreme but expected for small-RNA libraries where biological redundancy is high and adapters dominate short 51 bp reads. Reuse requires specialized miRNA-aware trimming and deduplication pipelines.

Data type / assay
bulk-RNA-seq
Organism
Apis mellifera
Instrument
Illumina HiSeq 2000
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 477447057 reported
total reads 9361707 reported
n content pct 0.002 measured
pct q20 bases 98.7 measured
pct q30 bases 96.2 measured
gc content pct 50.2 measured
mean read length 51 measured
mean base quality 37.9 measured
adapter content pct 97.91 measured
duplication rate pct 80.24 measured
How this grade was computed
Weighted mean of 4 scored metric(s) → 67/100

The D grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.

pct q30 bases 96.2 measured ×1 100%
mean base quality 37.9 measured ×0.6 100%
adapter content pct 97.91 measured ×0.4 0%
duplication rate pct 80.24 measured ×0.4 0%
QC cost 21 s compute

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