ERR4373990

ENA 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

NovaSeq 6000 bulk RNA-seq from Bemisia tabaci generated 31.4M reads (5.7 Gb, 40% GC) with excellent quality (98.6% Q20, 95.4% Q30, zero N). High read depth and low error rate enable whitefly stress-response profiling and detection of rare transcripts. Suitable for insecticide-resistance gene expression analysis.

Data type / assay

bulk-RNA-seq

Organism

Bemisia tabaci

Instrument

Illumina NovaSeq 6000

Platform

ILLUMINA

Read type

short-read

Files available

FASTQ (raw reads), submitted files

N numbers (samples, groups)

1 runs

Metrics (value · how obtained)

checksum ok yes reported

total bases 5719325066 reported

total reads 31424863 reported

n content pct 0 measured

pct q20 bases 98.6 measured

pct q30 bases 95.4 measured

gc content pct 40 measured

mean read length 91 measured

mean base quality 36.3 measured

adapter content pct 0.05 measured

duplication rate pct 31.24 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 95.4 measured ×1 100%

mean base quality 36.3 measured ×0.6 100%

adapter content pct 0.05 measured ×0.4 100%

duplication rate pct 31.24 measured ×0.4 97%

QC cost 9 s compute

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