EpiCarousel: memory- and time-efficient identification of metacells for atlas-level single-cell chromatin accessibility data
Recent technical advancements in single-cell chromatin accessibility sequencing (scCAS) have brought new insights to the characterization of epigenetic heterogeneity. As single-cell genomics experiments scale up to hundreds of thousands of cells, the demand for computational resources of downstream analysis grows intractably large and exceeds the capabilities of most researchers. Here, we propose EpiCarousel, a tailored Python package for memory- and time-efficient identification of metacells, i.e., the mergence of homogenous cells, in large-scale scCAS data.