Multiplex Single Cell Profiling of Chromatin Accessibility by Combinatorial Cellular Indexing [ATAC-seq]
Technical advances have enabled the collection of genome and transcriptome data sets with single-cell resolution. However, single-cell characterization of the epigenome has remained challenging. Furthermore, because cells must be physically separated prior to biochemical processing, conventional single-cell preparatory methods scale linearly. We applied combinatorial cellular indexing to measure chromatin accessibility in thousands of single cells per assay, circumventing the need for compartmen...
Provenance — who produced it, who reused it
Linked to 6 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.
- Chromatin Potential Identified by Shared Single-Cell Profiling o... 2020 · 1,205 cites
- Comprehensive analysis of single cell ATAC-seq data with SnapATA... 2021 · 484 cites
- An ultra high-throughput method for single-cell joint analysis o... 2019 · 380 cites
- Enhancer viruses for combinatorial cell-subclass-specific labeli... 2021 · 207 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
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