{ "info": { "author": "Charles Tapley Hoyt", "author_email": "charles.hoyt@scai.fraunhofer.de", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Console", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3 :: Only", "Topic :: Scientific/Engineering :: Bio-Informatics", "Topic :: Scientific/Engineering :: Chemistry" ], "description": "

\n
\n Curation of Neurodegeneration in BEL (CONIB)\n \n \"Travis\n \n \n \t\"DOI\"\n \n
\n

\n\n

\nThis knowledge repository, developed during the Human Brain Pharmacome project, contains documents in Biological Expression Language (BEL) describing neurodegenerative disease phenomena such as tauopathies.\n

\n\n

\n Installation \u2022\n Usage \u2022\n Contributing \u2022\n License\n

\n\n## Content\n\n- [hbp_knowledge](https://github.com/pharmacome/conib/tree/master/hbp_knowledge): This folder contains curated BEL\n documents. Most have been organized by category (protein of interest, biological process of interest, pathway, etc.).\n Almost BEL documents correspond to a single publication, but a select few contain content from several due to\n topic-based curation.\n- [docs](https://github.com/pharmacome/conib/tree/master/docs): This folder contains automatically generated HTML\n summaries of the content that can best be accesed through https://pharmacome.github.io/conib.\n- [notebooks](https://github.com/pharmacome/conib/tree/master/notebooks): This folder contains various Jupyter\n notebooks associated with the repository. Since many of them use PyBEL-Jupyter, they may be best viewed using\n [NBViewer](https://nbviewer.jupyter.org/github/pharmacome/conib/tree/master/notebooks/).\n\n### Curation Planning\n\nHere are a few links for navigating the GitHub issues and pull requests:\n\n- [Pull requests for curation](https://github.com/pharmacome/conib/pulls?q=is%3Apr+is%3Aopen+label%3ACuration)\n- [Pull requests for recuration approved by a reviewer](https://github.com/pharmacome/conib/pulls?q=is%3Apr+is%3Aopen+review%3Aapproved+label%3ARecuration)\n\n## Installation\n\n``hbp_knowledge`` can be installed from [PyPI](https://pypi.org/project/hbp-knowledge/) with the following command:\n\n```bash\n$ pip install hbp_knowledge\n```\n\nor the latest version can be installed from [GitHub](https://github.com/pharmacome/conib) with:\n\n```bash\n$ pip install git+https://github.com/pharmacome/conib.git\n```\n\n## Usage\n\nThe graph can be loaded with:\n\n```python\nimport hbp_knowledge\n\n# Get a dictionary of names to graphs\ngraphs = hbp_knowledge.get_graphs()\n\n# Get all BEL documents as a single graph\ngraph = hbp_knowledge.get_graph()\n```\n\n## Contributing\n\nContributions are welcome! 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