The Agentic Omics Vision: LLMs Meet Domain-Specific AI
The central thesis of this series: Agentic Omics combines LLM reasoning with domain-specific biological AI models to create autonomous systems capable of end-to-end biological discovery.
The central thesis of this series: Agentic Omics combines LLM reasoning with domain-specific biological AI models to create autonomous systems capable of end-to-end biological discovery.
DNA foundation models can now predict gene expression, identify regulatory elements, and classify variants from raw sequence alone. We review the major models—DNABERT-2, Nucleotide Transformer, Evo, and HyenaDNA—and what …
Why transformer-style foundation models work so well on biological data, where the analogy to language breaks down, and which genomics, proteomics, and single-cell models matter most in 2026.