Integrating scRNA-Seq and scATAC-Seq Data: A Primer

Single-cell sequencing technologies, notably scRNA-Seq and scATAC-Seq, offer unparalleled insights into gene expression and chromatin accessibility at the cellular level. However, integrating these distinct datasets presents a challenge due to their inherent differences. This article delves into the process of transforming scATAC-Seq data from genomic regions to gene-centric information and subsequently integrating it with scRNA-Seq data using shared latent spaces. By leveraging tools and methods that identify underlying patterns across datasets, researchers can achieve a comprehensive view of cellular states, bridging gene expression with chromatin dynamics.