An accurate and robust prediction method for siRNA design.
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The Docker image simplifies the installation and setup process, making it easy for users to get started with OligoFormer without worrying about dependencies and environment configuration.
Pull the Docker Image:
docker pull yilanbai/oligoformer:v1.0
Run the Docker Container:
docker run -it --name oligoformer-container -dt --restart unless-stopped yilanbai/oligoformer:v1.0 && docker exec -it oligoformer-container bash
Access the OligoFormer Tool:
Once inside the container, you can start using OligoFormer with the following command:
oligoformer -h # help
oligoformer # infer
oligoformer -i 1 -i1 example.fa -i2 example_siRNA.fa # infer only interested siRNA(faster)
oligoformer -off # infer with off-target prediction
oligoformer -tox # infer with toxicity prediction
oligoformer -off -tox # infer with off-target and toxicity prediction
oligoformer -m 2 # mismatch input 19nt siRNA
oligoformer -i 0 -t # test inter-dataset
oligoformer -i 0 -s -t # test intra-dataset
# We recommand you to run the following two commands on the patform with GPUs.
oligoformer -i 0 # train inter-dataset
oligoformer -i 0 -s # train intra-dataset
Content type
Image
Digest
sha256:4210c61f2…
Size
4.6 GB
Last updated
almost 2 years ago
docker pull yilanbai/oligoformer:v1.0