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BioGen: Genomic Data Synthesis Framework
📑 Paper | 🌐 Project Page | 💾 Released Resources | 📦 Repo
This is the resource page of our BioGen resources collection on Huggingface.
Dataset
| Dataset | Link |
|---|---|
| BioGen-Genome-Synth | 🤗 |
Models
| Base Model / Training | BioGen | BioGen++ | ||
|---|---|---|---|---|
| Stage 1 | Stage 2 | Stage 1 | Stage 2 | |
| Llama 3 8B | 🤗 | 🤗 | 🤗 | 🤗 |
| Mistral 7B | 🤗 | 🤗 | 🤗 | 🤗 |
Introduction
Genomic sequence analysis requires understanding complex biological patterns and relationships. We develop BioGen to leverage large language models for synthesizing high-quality genomic annotations. The raw sequences from NCBI GenBank are processed and enhanced using Google's Gemma 2 9B Instruct model for generating functional annotations and predictions. We adopt Gemma 2 due to its strong scientific reasoning capabilities and efficient inference, making it ideal for processing large-scale genomic data.
*Due to data sharing agreements, we only release the BioGen-Genome subset (this page) of the full dataset.
License
The license for this dataset is Gemma.
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