Minerva: genome language models uncover variable ncRNA arrays in UG27 reverse transcriptase systems
BrianHie · x · 2026-09-23
- David Li's team (EvolutionaryScale) unveils Minerva, an approach applying genome language models to biological discovery.
- Using Minerva, they show UG27 reverse transcriptase systems encode variable arrays of diverse ncRNAs sharing a common structure, each templating a short DNA hairpin.
- The result demonstrates genome foundation models producing concrete, testable biological findings rather than just sequence predictions.
More from Research
- REAL: an embodied agent that explores real rooms and asks clarifying questions, accepted at ECCV 2026 — jiqizhixin · 2026-09-23
- OpenAI to publish 100+ solved open math problems; developer shares partial Erdős #993 result with Codex — ChrisGPT · 2026-09-23
- Self-Derived Activation-Steering Geometry Crystallized into Qwen2.5-7B Weights in 93 Seconds, +15.8% — Nearby_Indication474 · 2026-09-23
- KVMem pages KV state to give agents million-token workspaces on a consumer GPU — rohanpaul_ai · 2026-09-23
- Story Imprinting Paper Finds AI Assistants Absorb Traits From Resembling Human Characters — OwainEvans_UK · 2026-09-23
- Yann LeCun: desk-reject papers that fail LLM watermarking detection — RexDouglass · 2026-09-23