A Jupyter notebook is available here as a demonstration of how to use the HLA-B Leader service for annotating your HLA datasets.
For this example, a local HLA-B Leader REST server needs to be active. Instructions for initiating one can be found here. Leave the resulting terminal active and open a new one to continue the steps below.
To get started, ensure that Jupyter Notebook is installed. For new users, follow these instructions to install a suite of Python, Jupyter Notebook, and other relevant packages.
Once installed, the following command should work. Please use it to instantiate the example notebook.
jupyter notebook
Open the hla_b_leader_example.ipynb notebook to start running through the examples.
Information and code exist side-by-side in the notebook for demonstrating HLA-B Leader Service usage.
To go step by step, you can press shift + enter. To run the whole notebook, open the Cell menu and select Run All.
Outputs will render as code chunks are executed.
Feel free to reuse any code snippets for your own usage!