Developing a comprehensive database and search tool for single-cell ATAC-seq data

Single cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) is a technology that allows for analysis of chromatin accessibility at a single cell resolution. scATAC-seq is advancing our understanding of gene regulation, and has found many applications in cell development and disease. Despite the availability of several scATAC-seq datasets and their high applicability, we still lack a definitive scATAC-seq database, where a comprehensive collection of publicly available scATAC-seq datasets has been made available in a consistent format. To solve this, we have created scATAC.Explorer, an R accessible database and search tool, containing a curated collection of 39 currently available scATAC-seq datasets from a wide array of tissues and cell types. scATAC.Explorer allows fast query and retrieval of publicly available scATAC-seq datasets, and it contains accessibility matrices, cell type annotations and other metadata information for each dataset. scATAC.Explorer is available both in GitHub and as an R Bioconductor package, and can easily be integrated into existing R and Python analysis pipelines, allowing researchers to quickly analyze scATAC-seq data from multiple sources.

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Publication Details

Journal
Scientific Reports
Published
2026-01-16
DOI
https://doi.org/10.1038/s41598-025-09962-4
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

Developing a comprehensive database and search tool for single-cell ATAC-seq data

Erik Christensen, Parisa Shooshtari, Jonathan Wang, Arrian Gibson-Khademi
Scientific Reports
Single-cell and spatial transcriptomics
article

Developing a comprehensive database and search tool for single-cell ATAC-seq data

Erik Christensen, Parisa Shooshtari, Jonathan Wang, Arrian Gibson-Khademi
article en

Abstract

Single cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) is a technology that allows for analysis of chromatin accessibility at a single cell resolution. scATAC-seq is advancing our understanding of gene regulation, and has found many applications in cell development and disease. Despite the availability of several scATAC-seq datasets and their high applicability, we still lack a definitive scATAC-seq database, where a comprehensive collection of publicly available scATAC-seq datasets has been made available in a consistent format. To solve this, we have created scATAC.Explorer, an R accessible database and search tool, containing a curated collection of 39 currently available scATAC-seq datasets from a wide array of tissues and cell types. scATAC.Explorer allows fast query and retrieval of publicly available scATAC-seq datasets, and it contains accessibility matrices, cell type annotations and other metadata information for each dataset. scATAC.Explorer is available both in GitHub and as an R Bioconductor package, and can easily be integrated into existing R and Python analysis pipelines, allowing researchers to quickly analyze scATAC-seq data from multiple sources.

Scientific ReportsVol. 16(1)
Ontario Institute for Cancer Research (CA), Western University (CA), London Health Sciences Centre (CA), Children’s Health Research Institute (CA)
Children's Health Research Institute, Lawson Health Research Institute, Government of Canada, Alliance de recherche numérique du Canada, Natural Sciences and Engineering Research Council of Canada, Schulich School of Medicine and Dentistry
Openalex Percentile: Top 87%
Single-cell and spatial transcriptomics
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Developing a comprehensive database and search tool for single-cell ATAC-seq data — Erik Christensen, Parisa Shooshtari, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS