We presented the functionality of the single-cell analysis in Python (scanpy) toolkit and the recent advancements in version 1.6.1 and later regarding computational efficiency to analyse large scale datasets while saving as much disk space and memory as possible. Scanpy allows analysing single-cell transcriptomic data, but is now being extended for the use of spatial data or the analysis of epigenetic marks (in the external epi-scanpy package).

{"references": ["Wolf et al., SCANPY: large-scale single-cell gene expression data analysis, Genome Biology (2018)"]}