Metadata-Version: 1.1
Name: mhcnuggets
Version: 2.3.3
Summary: MHCnuggets: Neoantigen peptide MHC binding prediction for class I and II
Home-page: http://karchinlab.org/apps/mhcnuggets.html
Author: Rohit Bhattacharya
Author-email: rohit.bhattachar@gmail.com
License: Apache License
Description: # MHCnuggets
        
        Welcome to MHCnuggets! Presumably you're here to do some
        peptide-MHC prediction and not because you were [hungry](https://www.mcdonalds.com/us/en-us/product/chicken-mcnuggets-4-piece.html).
        
        ### Usage ###
        For an overview of how to use MHCnuggets please refer to the Jupyter notebook
        called `user_guide.ipynb` in the repository
        
        If you would like to use MHCnuggets as a docker container, there are several options:
        
        1. [MHCnuggets with command line interface](https://github.com/KarchinLab/mhcnuggets/wiki/Creating-a-mhcnuggets-docker-container-with-command-line-interface)
        
        2. [MHCnuggets with Jupyter Notebook interface](https://github.com/KarchinLab/mhcnuggets/wiki/Creating-a-mhcnuggets-docker-container-with-Jupyter-Notebook-interface)
        
        3. [MHCnuggets container for batch operations](https://github.com/KarchinLab/mhcnuggets/wiki/Creating-and-running-the-MHCnuggets-batch-container)
        
        ### Installation ###
        
        MHCnuggets is `pip` installable as:
        ```bash
        pip install mhcnuggets
        ```
        
        **Required pacakges:**
        
        * numpy
        * scipy
        * scikit-learn
        * pandas
        * tensorflow
        * keras
        
        You might want to check if the Keras backend is configured to use
        the Tensforflow backend.
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
