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Comparez modèles biologiques, moteurs de docking et flux de calcul côte à côte. Filtrez par modèle d'accès, empreinte de calcul et catégorie pour parvenir à une table de décision exploitable en moins d'une minute.
| Attribut | ＋ Ajouter un outil | |
|---|---|---|
| Category | Genomics & Sequence Modeling | — |
| Subcategory | Long-Range Genomic Foundation Models | — |
| Company | Stanford University (Hazy Research) | — |
| Access mode | Open Source | — |
| Licence conditions | Apache 2.0 | — |
| Compute requirements | 1x GPU (A100 or H100 recommended for 1M context) | — |
| Biological application | Enhancer-promoter interaction prediction, chromatin profile modeling, and splicing regulation | — |
| Research workflow | Input long DNA sequence -> predict regulatory activity, chromatin marks, and variant effects | — |
| Evidence level | Peer-reviewed research (NeurIPS 2023) | — |
| Commercial eligibility | Open source release | — |
| Price | Free Open Source | — |
| Availability ⓘ | Available on GitHub and Hugging Face | — |
| Features | Sub-quadratic scaling allowing context lengths up to 1,000,000 base pairs, Single-nucleotide resolution without k-mer tokenization artifacts, Trained on the human reference genome (T2T-CHM13), State-of-the-art benchmarks across the Genomic Benchmarks suite | — |
| Entry type | AI Model | — |
| AI role | Long-Range Sequence Modeling | — |
| Input data | Non enregistré | — |
| Output data | Non enregistré | — |
| Validation | Non enregistré | — |
| Type | Long-context genomic foundation model | — |
| Intended use | Non enregistré | — |
| Compatibility | Non enregistré | — |
| Manufacturer | Stanford University | — |
| Integration evidence | https://github.com/HazyResearch/hyena-dna | — |
| Laboratory handoff | Identifies candidate non-coding regulatory elements for CRISPR perturbation validation | — |