Single-cell multi-omic profiling of chromatin conformation and DNA methylome
Recent advances in the development of single cell epigenomic assays have facilitated the analysis of the gene regulatory landscapes in complex biological systems. Single-cell variations of methods such as DNA methylation-sequencing and ATAC-seq hold tremendous promise for delineating distinct cell types and identifying their critical cis-regulatory sequences. Emerging evidence in recent years has shown that in addition to cis-regulatory sequences, dynamic regulation of 3D chromatin conformation...
Provenance — who produced it, who reused it
Linked to 3 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.
2 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.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently