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Single-cell epigenomics maps the continuous regulatory landscape of human hematopoietic differentiation
This SuperSeries is composed of the SubSeries listed below.
Provenance — who produced it, who reused it
Linked to 12 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
Reused by
- cisTopic: cis-regulatory topic modeling on single-cell ATAC-seq... 2019 · 535 cites
- Integrative analyses of single-cell transcriptome and regulome u... 2020 · 215 cites
- Single-cell lineage tracing by endogenous mutations enriched in... 2019 · 148 cites
- Simultaneous deep generative modelling and clustering of single-... 2021 · 118 cites
7 further papers cite 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
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
QC cost
22 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently