Custom sequence contributions - kundajelab/chrombpnet GitHub Wiki

Here are two options you can use:

Option 1: I’ve created some example notebooks to demonstrate how this can be done here You’re welcome to adapt them to your use case. The notebooks accept custom sequences in FASTA format — I've included an example.fa file as an input example.

Option 2: Tangermeme already supports this functionality. You can use bpnet-lite to load models trained from this repository. Once the models are loaded into PyTorch, you can use Tangermeme directly.

If you have any questions about using this approach, feel free to open a new GitHub issue at Tangermeme's issue tracker.