SnapATAC2: A Python/Rust package for single-cell epigenomics analysis#

SnapATAC2 is a flexible, versatile, and scalable single-cell omics analysis framework, featuring:

  • Scale to more than 10 million cells.

  • Blazingly fast preprocessing tools for BAM to fragment files conversion and count matrix generation.

  • Matrix-free spectral embedding algorithm that is applicable to a wide range of single-cell omics data, including single-cell ATAC-seq, single-cell RNA-seq, single-cell Hi-C, and single-cell methylation.

  • Efficient and scalable co-embedding algorithm for single-cell multi-omics data integration.

  • End-to-end analysis pipeline for single-cell ATAC-seq data, including preprocessing, dimension reduction, clustering, data integration, peak calling, differential analysis, motif analysis, regulatory network analysis.

  • Seamless integration with other single-cell analysis packages such as Scanpy.

  • Implementation of fully backed AnnData.

How to cite#

Zhang, K., Zemke, N. R., Armand, E. J. & Ren, B. (2024). A fast, scalable and versatile tool for analysis of single-cell omics data. Nature Methods, 1–11.