Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain
Detailed characterization of the cell types in the human brain requires scalable experimental approaches to examine multiple aspects of the molecular state of individual cells, as well as computational integration of the data to produce unified cell-state annotations. Here we report improved high-throughput methods for single-nucleus droplet-based sequencing (snDrop-seq) and single-cell transposome hypersensitive site sequencing (scTHS-seq). We used each method to acquire nuclear transcriptomic...
Provenance — who produced it, who reused it
Linked to 8 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.
- High-throughput sequencing of the transcriptome and chromatin ac... 2019 · 891 cites
- cisTopic: cis-regulatory topic modeling on single-cell ATAC-seq... 2019 · 535 cites
- Reconstruction of Cell-type-Specific Interactomes at Single-Cell... 2019 · 80 cites
- STAB: a spatio-temporal cell atlas of the human brain 2020 · 71 cites
3 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
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently