{
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  "@type": "article",
  "@id": "https://anchorfact.org/kb/ai-for-genomics",
  "headline": "AI for Genomics: Single-Cell Foundation Models and RNA Biology",
  "description": "AI foundation models trained on massive genomic datasets — from single-cell RNA sequencing of millions of cells to full RNA transcriptomes — are revolutionizing genomics. These models learn universal biological representations, enabling zero-shot cell typing, perturbation prediction, and de novo RNA design that were previously impossible without labor-intensive experiments.",
  "dateCreated": "2026-05-24T02:49:13.516Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "Single-cell foundation models: bringing artificial intelligence to single-cell biology",
      "sameAs": "https://www.nature.com/articles/s12276-025-01547-5"
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      "@type": "CreativeWork",
      "name": "AI foundation models for RNA biology",
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