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Unsupervised clustering and epigenetic classification of single cells
96 scATAC-seq samples generated for the retinoic acid-induced mESC differentiation at day 4.
Provenance — who produced it, who reused it
Linked to 2 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
Mahdi ZamanighomiZhixiang LinTimothy DaleyXi ChenZhana DurenAlicia SchepWilliam J GreenleafWing H Wong
Reused by
- Unsupervised clustering and epigenetic classification of single... 2018 · 145 cites
1 further paper cites this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
Data type / assay
ATAC-seq
Organism
Mus musculus
Instrument
NextSeq 500
Platform
ILLUMINA
Read type
short-read
Files available
FASTQ (raw reads)
N numbers (samples, groups)
96 / 96 runs
Completeness
100%
Metrics (value · how obtained)
checksum ok
yes
reported
total bases
10247773080
reported
total reads
69241710
reported
supplementary file types
XLSX
reported
QC cost
5 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently