ArticleGenome biology2015
Single-cell ATAC-seq: strength in numbers.
Article in Genome biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
51 citing papers in PubMed.
- Integrating Single-Cell Sequencing and Proteomics to Unravel Stem Cell Heterogeneity: Implications for Precision Regenerative Medicine.Stem cell reviews and reports · 2026Review
- Optimal transport for label transfer in single-cell multi-omics integration.Briefings in bioinformatics · 2026Article
- ATAC-seq of low-input and cryopreserved primordial germ cells reveals functional enhancers.Development (Cambridge, England) · 2026Article
- Developing a comprehensive database and search tool for single-cell ATAC-seq data.Scientific reports · 2026Article
- SemiLT: A Multianchor Transfer Learning Method for Cross-Modality Cell Label Annotation from scRNA-seq to scATAC-seq.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- scGT:integration algorithm for single-cell RNA-seq and ATAC-seq based on graph transformer.Bioinformatics (Oxford, England) · 2025Article
- Combining single-cell ATAC and RNA sequencing for supervised cell annotation.BMC bioinformatics · 2025Article
- Gene trajectory inference for single-cell data by optimal transport metrics.Nature biotechnology · 2025Article
- Cellular insights into transposable elements in Alzheimer's disease.Frontiers in molecular biosciences · 2025Article
- scPair: Boosting single cell multimodal analysis by leveraging implicit feature selection and single cell atlases.Nature communications · 2024Article
- Deep learning approaches for non-coding genetic variant effect prediction: current progress and future prospects.Briefings in bioinformatics · 2024Review
- Kernel-based testing for single-cell differential analysis.Genome biology · 2024Article
- Single-cell ATAC sequencing identifies sleepy macrophages during reciprocity of cytokines inMicrobiology spectrum · 2024Article
- Application of Single-Cell Assay for Transposase-Accessible Chromatin with High Throughput Sequencing in Plant Science: Advances, Technical Challenges, and Prospects.International journal of molecular sciences · 2024Review
- Benchmarking multi-omics integration algorithms across single-cell RNA and ATAC data.Briefings in bioinformatics · 2024Article
- GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership.Genome biology · 2023Article
- GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership.bioRxiv : the preprint server for biology · 2023Article
- Computational Methods for Single-cell DNA Methylome Analysis.Genomics, proteomics & bioinformatics · 2023Review
- Cellular interactions in the pituitary stem cell niche.Cellular and molecular life sciences : CMLS · 2022Review
- A regulatory network of Sox and Six transcription factors initiate a cell fate transformation during hearing regeneration in adult zebrafish.Cell genomics · 2022Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell ATAC-seq detects open chromatin in individual cells. Currently data are sparse, but combining information from many single cells can identify determinants of cell-to-cell chromatin variation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.