SRR12975719

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

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

Excellent bulk RNA-seq of Bemisia tabaci with perfect QC score (100/100) driven by ideal metrics across the board: Q30=94.6%, base_quality=39, minimal adapter content (0.78%), and low duplication (23.06% scored 100/100). Large dataset size (24.9M reads, 150bp) with 150bp read length enables confident assembly and expression quantification.

Data type / assay

bulk-RNA-seq

Organism

Bemisia tabaci

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 7464816600 reported

total reads 24882722 reported

n content pct 0.01 measured

pct q20 bases 97.9 measured

pct q30 bases 94.6 measured

gc content pct 38.3 measured

mean read length 150 measured

mean base quality 39 measured

adapter content pct 0.78 measured

duplication rate pct 23.06 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 94.6 measured ×1 100%

mean base quality 39 measured ×0.6 100%

adapter content pct 0.78 measured ×0.4 100%

duplication rate pct 23.06 measured ×0.4 100%

QC cost 31 s compute

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