{
  "id": 15677759,
  "title": "DCSMAP: A Hybrid Linear-Pangenome Framework for Accurate and Efficient Read Alignment",
  "url": "https://urgent.news/2026/10/19/dcsmap-a-hybrid-linear-pangenome-framework-for-accurate-and-efficient",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-19T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.18.759502v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Background: Linear-reference read alignment is computationally efficient but is susceptible to reference bias, whereas pangenome graph alignment better represents genetic diversity at substantially greater computational cost. Findings: We developed DCSMAP, a hybrid workflow that combines linear alignment with machine-learning-based selection of reads for remapping to a personalized pangenome…",
  "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."
}