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SRR5748814
SRAProvenance — who produced it, who reused it
Linked to 0 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.
No linked papers found in the corpus yet.
Deep data QC
insufficient data to scoreStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
Data type / assay
ChIP-seq
Organism
Zea mays
Instrument
Illumina HiSeq 4000
Platform
ILLUMINA
Read type
short-read
Files available
FASTQ (raw reads)
N numbers (samples, groups)
1 runs
Metrics (value · how obtained)
gc sd
12.64
measured
checksum ok
yes
reported
total bases
265412364
reported
total reads
5204164
reported
n content pct
0.025
measured
pct q20 bases
99.4
measured
pct q30 bases
98
measured
pct reads q30
99.5
measured
sampled bases
51000000
measured
sampled reads
1000000
measured
gc content pct
51.4
measured
polyg tail pct
0
measured
read length sd
0
measured
quality dropoff
2.7
measured
read length max
51
measured
read length min
51
measured
read length n50
51
measured
max base quality
41
measured
mean read length
51
measured
max n pct per pos
1.131
measured
mean base quality
39.7
measured
pct reads lt 100bp
100
measured
read length median
51
measured
adapter content pct
0.12
measured
median read quality
40.3
measured
duplication rate pct
11.92
measured
overrepresented top pct
0.02
measured
How this grade was computed
The insufficient grade is a transparent weighted average. Each metric below scored from 0–100% against the published ChIP-seq thresholds, weighted by its importance; nothing is hidden or subjective.
pct q30 bases
98
measured
×1
100%
QC cost
16 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0