A Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibility
We applied a combinatorial indexing assay, sci-ATAC-seq, to profile genome-wide chromatin accessibility in ~100,000 single cells from 13 adult mouse tissues. We identify 85 distinct patterns of chromatin accessibility, most of which can be assigned to cell types, and ~400,000 differentially accessible elements. We use these data to link regulatory elements to their target genes, to define the transcription factor grammar specifying each cell type, and to discover in vivo correlates of heterogene...
Provenance — who produced it, who reused it
Linked to 17 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.
- Benchmarking atlas-level data integration in single-cell genomic... 2021 · 1,404 cites
- Comprehensive analysis of single cell ATAC-seq data with SnapATA... 2021 · 484 cites
14 further papers cite this accession but reuse could not be confirmed.
Deep data QC
insufficient data to scoreStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
The insufficient grade is a transparent weighted average. Each metric below scored from 0–100% against the published ATAC-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0