Replaces traditional alignment-based RNA analysis with a transformer-based foundation model. Enables zero-shot prediction of RNA secondary structures and functional sites using billion-parameter embeddings.
Tech Stack
PythonAI, ML & Data
Why RiNALMo?
• State-of-the-art RNA representation learning
• Pre-trained on massive RNA datasets
• Supports multiple downstream tasks
Limitations
• Requires high-end GPU for inference
• Complex environment dependencies
• Limited to sequence-based inputs
3/4/2026
Last Update
33
Forks
1
Issues
Apache-2.0
License
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