Metadata-Version: 1.2
Name: selventa-knowledge
Version: 1.1.1
Summary: Selventa Large and Small Corpora via PyBEL
Home-page: https://github.com/cthoyt/selventa-knowledge
Author: Charles Tapley Hoyt
Author-email: cthoyt@gmail.com
Maintainer: Charles Tapley Hoyt
Maintainer-email: cthoyt@gmail.com
License: MIT
Download-URL: https://github.com/cthoyt/selventa-knowledge/releases
Project-URL: Bug Tracker, https://github.com/cthoyt/selventa-knowledge/issues
Project-URL: Source Code, https://github.com/cthoyt/selventa-knowledge
Description: Selventa Knowledge
        ==================
        Updated versions of the Selventa Small and Large Corpus
        
        Licenses
        --------
        - Code in this repository is licensed under the MIT License
        - Both the Selvanta Small Corpus and Selventa Large Corpus are distributed under
          the Creative Commons Attribution-Non-Commercial-ShareAlike 3.0 Unported
          License.
        
        Installation
        ------------
        ``selventa_knowledge`` can be installed from `PyPI <https://pypi.org/project/selventa-knowledge>`_ with:
        
        .. code-block:: sh
        
           $ pip install selventa-knowledge
        
        ``selventa_knowledge`` can be installed from `GitHub <https://github.com/cthoyt/selventa-knowledge>`_ with:
        
        .. code-block:: sh
        
           $ pip install git+https://github.com/cthoyt/selventa-knowledge.git
        
        Usage
        -----
        The combine graph can be loaded with:
        
        .. code-block:: python
        
            >>> import selventa_knowledge
            >>> graph = selventa_knowledge.get_graph()
        
        If you need granularity, you can load each graph in a dictionary where
        all of the names of the files creating each graph are the keys and the
        values are also BEL graphs with:
        
        .. code-block:: python
        
            >>> import selventa_knowledge
            >>> graphs = selventa_knowledge.get_graphs()
        
        The functions from each of the previous examples are simply
        exposing the bound functions from the BELRepository object,
        which can be accessed with:
        
        .. code-block:: python
        
            >>> import selventa_knowledge
            >>> repository = selventa_knowledge.repository
        
        If you want to use this knowledge with INDRA, there's a method:
        
        .. code-block:: python
        
            >>> import selventa_knowledge
            >>> statements = selventa_knowledge.repository.get_indra_statements()
        
        More BEL Content
        ----------------
        See `A Listing of Publicly Available Content in the Biological Expression Language (BEL)
        <https://cthoyt.com/2020/04/30/public-bel-content.html>`_ on Charles Tapley Hoyt's blog
        for more BEL content.
        
Keywords: Biological Expression Language,BEL,Domain Specific Language,DSL,Systems biology,Networks biology,Drug repositioning
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Chemistry
Requires-Python: >=3.6
