SRR12808809

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

94/100 · A

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

What this means

claude:haiku

Melitaea cinxia bulk RNA-seq from NextSeq 500 with ~6.2M short reads at robust quality (Q30: 94.1%), suitable for differential expression and functional annotation studies. GC content (42.8%) is within the expected range for lepidopteran transcriptomes.

Data type / assay

bulk-RNA-seq

Organism

Melitaea cinxia

Instrument

NextSeq 500

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 942929264 reported

total reads 6203482 reported

n content pct 0.007 measured

pct q20 bases 95.9 measured

pct q30 bases 94.1 measured

gc content pct 42.8 measured

mean read length 86 measured

mean base quality 34.4 measured

adapter content pct 0.15 measured

duplication rate pct 47.35 measured

How this grade was computed

Weighted mean of 4 scored metric(s) → 94/100

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 94.1 measured ×1 100%

mean base quality 34.4 measured ×0.6 100%

adapter content pct 0.15 measured ×0.4 100%

duplication rate pct 47.35 measured ×0.4 61%

QC cost 41 s compute

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