This small experiment develops embeddings for subsequences of many genomes and compares them to each other with a k-nearest-neighbor vector comparison library.
You can run it with python embed.py.
It needs CUDA, PyTorch, Biopython, Annoy to work, and a GPU to work at a reasonable speed.
Setup with conda env create --file=environment.yml, and then conda activate embeddna.