HyenaDNA
A long-range genomic foundation model that processes DNA sequences up to 1 million nucleotides at single nucleotide resolution.
What is HyenaDNA?
HyenaDNA is a long-range genomic foundation model that processes DNA sequences up to 1 million nucleotides at single nucleotide resolution. It is designed to handle ultra-long genomic contexts, enabling tasks like classification, prediction, and in-context learning on DNA data. The model is pretrained on the human reference genome and can be fine-tuned for various downstream genomic applications.
Genomics researchers, bioinformaticians, and machine learning practitioners working with DNA sequence data who need to model long-range dependencies and fine-grained nucleotide interactions.
HyenaDNA uniquely combines extreme sequence length capability (up to 1M tokens) with single nucleotide resolution, outperforming existing models on long-range genomic tasks. Its open-source implementation and pretrained weights lower the barrier to applying deep learning to genomics.
Overview
Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena
Use Cases
Best For
- Analyzing ultra-long DNA sequences (e.g., full chromosomes)
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