Metadata-Version: 1.1
Name: epitopepredict
Version: 0.2.0
Summary: Python package for epitope prediction
Home-page: https://github.com/dmnfarrell/epitopepredict
Author: Damien Farrell
Author-email: farrell.damien@gmail.com
License: GPL v3
Description: Background
        ----------
        
        epitopepredict provides a standardized programmatic interface and command line
        tool for executing several epitope prediction methods. Currently this largely
        consists of interfaces to several MHC binding prediction, the results of which
         can then be processed and visualized in a consistent manner. Many MHC binding
         predictors have been developed but usually not in an open source manner. The
          Tepitope module implements the TEPITOPEPan method is provided as a 'built in'
          method. netMHCIIpan must be downloaded separately from the website and
          installed on your system. The process is quite simple. The same applies for
          the IEDB tools. Both of these tools are free for academic use. It is hoped
          that other epitope predictors will be integrated.
        
        Supported methods
        -----------------
        
        TEPITOPEPan
        NetMHCIIpan
        IEDB MHC tools
        IEDB BCell tools
        MHCFlurry
        
        Dependencies
        ------------
        
        pandas
        biopython
        
        Installation
        ------------
        pip install epitopepredict
        
        Links
        -----
        
        https://github.com/dmnfarrell/epitopepredict
        
Keywords: epitope,mhc,immunology,biology
Platform: UNKNOWN
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
