Simultaneous profiling of transcriptome and chromatin accessibility in single nucleus
Here we describe SNARE-seq, a droplet-based method to simultaneously profile gene expression and chromatin accessibility in each of thousands of single nuclei. Employing this method, we profiled 1047 nuclei from human cell line mixture, 5081 and 10309 nuclei from neonatal and adult mouse brain.
Provenance — who produced it, who reused it
Linked to 27 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
- scJoint integrates atlas-scale single-cell RNA-seq and ATAC-seq... 2022 · 172 cites
- SCOT: Single-Cell Multi-Omics Alignment with Optimal Transport 2022 · 129 cites
- Manifold alignment for heterogeneous single-cell multi-omics dat... 2021 · 98 cites
22 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