Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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SRX872321

SRA first seen 2015

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 Illumina HiSeq 2500 bulk RNA-seq of Leptoplana tremellaris (flatworm) produces ~38 million reads (~7.7 Gb) with good quality (96.2% Q20, 89.9% Q30), enabling transcriptomic profiling of this invertebrate. The dataset supports comparative developmental biology. Researchers searching for flatworm transcriptomics or invertebrate genomics will find this relevant.

Data type / assay
bulk-RNA-seq
Organism
Leptoplana tremellaris
Instrument
Illumina HiSeq 2500
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 7733844518 reported
total reads 38286359 reported
n content pct 0.006 measured
pct q20 bases 96.2 measured
pct q30 bases 89.9 measured
gc content pct 50.4 measured
mean read length 101 measured
mean base quality 35 measured
adapter content pct 0.16 measured
duplication rate pct 9.75 measured
How this grade was computed
Weighted mean of 4 scored metric(s) → 100/100

The A 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 89.9 measured ×1 100%
mean base quality 35 measured ×0.6 100%
adapter content pct 0.16 measured ×0.4 100%
duplication rate pct 9.75 measured ×0.4 100%
QC cost 7 s compute

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