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Build your model

  1. Build the Docker image docker.synapse.org/<synapse-project-id>/<model-name>:<image-tag>, like the following command:

    # in an example model folder
    docker build -t docker.synapse.org/syn123/example-model-task2:v1 .

Test the model locally

  1. Find your training data

  2. Create an output folder

    mkdir output
    
  3. Run the dockerized model

    docker run \
        -v $(pwd)/<training-data-folder>/:/input:ro \
        -v $(pwd)/output:/output:rw \
        docker.synapse.org/syn123/example-model-task2:v1
  4. The called peak files (.bed) should be saved to output/.

    $ ls output/*.bed
    

Submit this model to the DREAM Challenge

If your model meets the requirements and it can be pushed up to your project on Synapse. Please see the instructions on how to submit the model to synapse. Then submit it to the Task 2 of the DREAM Challenge.