SRR921934

SRA first seen 2019

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 second human RNA-Seq on HiSeq 2000 spans 17.3 Gb with 86.3 million reads and good quality (97.3% Q20, 92.5% Q30), providing another substantial human transcriptome dataset for expression studies. The two large human RNA-seq samples (SRR921936 and SRR921934) enable robust comparative analysis. Human transcriptomics can aggregate both datasets.

Data type / assay

bulk-RNA-seq

Organism

Homo sapiens

Instrument

Illumina HiSeq 2000

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 17262251000 reported

total reads 86311255 reported

n content pct 0.006 measured

pct q20 bases 97.3 measured

pct q30 bases 92.5 measured

gc content pct 50.7 measured

mean read length 101 measured

mean base quality 35.9 measured

adapter content pct 0.14 measured

duplication rate pct 15.39 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 92.5 measured ×1 100%

mean base quality 35.9 measured ×0.6 100%

adapter content pct 0.14 measured ×0.4 100%

duplication rate pct 15.39 measured ×0.4 100%

QC cost 21 s compute

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