AIDO.RNA-650M
| Property | Value |
|---|---|
| Model Size | 650M parameters |
| Training Data | 42M non-coding RNA sequences |
| Author | genbio-ai |
| Model URL | Hugging Face |
What is AIDO.RNA-650M?
AIDO.RNA-650M is a sophisticated RNA foundation model designed for analyzing and processing non-coding RNA sequences at single-nucleotide resolution. This model represents a significant advancement in RNA sequence analysis, trained on an extensive dataset of 42 million non-coding RNA sequences.
Implementation Details
The model is implemented with flexible integration options through ModelGenerator, supporting various downstream applications. It can be utilized for multiple RNA analysis tasks, including sequence classification, token-level classification, and sequence regression.
- Built-in support for sequence embedding generation
- Compatible with ModelGenerator for easy downstream model development
- Supports both Python-direct and command-line interfaces
- Capable of handling various RNA sequence analysis tasks
Core Capabilities
- Sequence-level classification with customizable class numbers
- Token-level classification for detailed sequence analysis
- Sequence regression for quantitative predictions
- RNA sequence embedding generation
- Batch processing of multiple sequences
Frequently Asked Questions
Q: What makes this model unique?
AIDO.RNA-650M stands out for its comprehensive training on non-coding RNA sequences and its versatility in handling various RNA analysis tasks. The single-nucleotide resolution capability makes it particularly valuable for detailed RNA sequence analysis.
Q: What are the recommended use cases?
The model is ideal for RNA sequence classification, feature extraction through embeddings, token-level analysis, and regression tasks. It's particularly useful for researchers and practitioners working with non-coding RNA sequences who need detailed sequence analysis capabilities.
