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license: gpl-3.0
library_name: pytorch
tags:
- nanopore
- dna-modification
- methylation
- raw-signal
---
# RawMod
Pretrained models for **RawMod: Modification-Agnostic Detection of DNA Base
Modifications from Nanopore Signal Pileups**.
RawMod detects modified DNA bases directly from raw nanopore signals. One model
detects 5mC, 5hmC, 6mA, 4mC and 5hmU, and it needs no unmodified control.
Code, installation, usage and full documentation:
**https://github.com/STORMgroup/RawMod**
## Files
| Path | Use |
|---|---|
| `rawmod.pt` | The released model. Use this one to score new data. |
| `region_holdout/` | Models trained without one region of every genome. Used for the accuracy numbers of the paper. `loco_<mod>.pt` also withholds one modification type. `seeds/` holds two more training seeds. |
| `leaveout/` | Models trained without one organism or library. Used for the paper's supplementary leave-out benchmark. |
All files share one architecture (230,697 parameters). They are PyTorch state
dictionaries for the code in the GitHub repository. `SHA256SUMS` lists the
checksums of every file.
## Download
```bash
hf download STORMResearch/RawMod --local-dir checkpoints
```
## Citation
The RawMod paper is under review. Until it is published, please cite the
GitHub repository: https://github.com/STORMgroup/RawMod.
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