{
  "id": 6351096,
  "title": "Atlas-scale single-cell analysis beyond in-memory paradigm with scAtlasPy",
  "url": "https://urgent.news/2026/09/08/atlas-scale-single-cell-analysis-beyond-in-memory-paradigm-with",
  "topic": "science",
  "section": "Science",
  "published": "2026-09-08T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.09.03.748766v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "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…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}