SRR9676034

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

97/100 · 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 high-depth bulk RNA-seq dataset from the mason bee Osmia lignaria was generated on NextSeq 500, delivering 42.1M reads across 10.6B bases with good quality (94.2% Q20, 90.5% Q30). The exceptional read count provides deep transcriptome coverage for comprehensive gene expression analysis in this pollinator.

Data type / assay

bulk-RNA-seq

Organism

Osmia lignaria

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 10620056519 reported

total reads 42103550 reported

n content pct 0.034 measured

pct q20 bases 94.2 measured

pct q30 bases 90.5 measured

gc content pct 41.7 measured

mean read length 125.8 measured

mean base quality 33.8 measured

adapter content pct 0.65 measured

duplication rate pct 36.87 measured

How this grade was computed

Weighted mean of 4 scored metric(s) → 97/100

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 90.5 measured ×1 100%

mean base quality 33.8 measured ×0.6 97%

adapter content pct 0.65 measured ×0.4 100%

duplication rate pct 36.87 measured ×0.4 85%

QC cost 11 s compute

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