Atlas-scale single-cell analysis beyond in-memory paradigm with scAtlasPy
Single-cell atlases are rapidly outgrowing the memory capacity of standard workstations, challenging the in-memory paradigm underlying mainstream computational ecosystems. Here, scAtlasPy decouples scale of atlas from memory capacity by leveraging the disk-resident computing. It enables full-resolution analysis of a 100-million-cell atlas with only 42.9 GB peak memory, whereas state-of-the-art…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
