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Gene expression profiles of 35 paired HCC and non-tumor tissues by RNA-seq data
This study aims to uncover the transcriptomic variations in HCC
Provenance — who produced it, who reused it
Linked to 20 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.
Deposited / produced by
Ying JiangLi Zhang
Reused by
19 further papers cite this accession but reuse could not be confirmed.
Deep data QC
79/100 · CStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Data type / assay
bulk-RNA-seq
Organism
Homo sapiens
Instrument
HiSeq X Ten
Platform
ILLUMINA
Read type
short-read
Files available
FASTQ (raw reads)
N numbers (samples, groups)
70 / 70 runs
Completeness
100%
Metrics (value · how obtained)
checksum ok
yes
reported
total bases
491535698500
reported
total reads
1966142794
reported
n content pct
0.006
measured
pct q20 bases
98.9
measured
pct q30 bases
98.9
measured
gc content pct
47.1
measured
mean read length
125
measured
mean base quality
29.7
measured
adapter content pct
0
measured
duplication rate pct
37.16
measured
supplementary file types
TXT
reported
How this grade was computed
Weighted mean of 4 scored metric(s) → 79/100
The C 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
98.9
measured
×1
100%
mean base quality
29.7
measured
×0.6
28%
adapter content pct
0
measured
×0.4
100%
duplication rate pct
37.16
measured
×0.4
84%
QC cost
23 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0