Genome language models and AI agents mine the genome's 'dark matter' for noncoding RNA discovery
BrianHie · x · 2026-10-23
The Hsu lab released a landmark preprint using genome language models and AI agents for biological discovery and genome mining. Target: the DNA between protein-coding genes — the genome's 'dark matter' — which encodes RNAs that sense metabolites, regulate genes, and underpin tools like CRISPR and bridge editors. These RNAs retain similar structures and functions even as their DNA sequences change dramatically, making them hard to detect with conventional computational tools — exactly the kind of semantic similarity language models excel at.
Related event: Arc Institute Maps Genomic 'Dark Matter' with Language Models(2 posts)→
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