Metadata-Version: 2.1
Name: hbp-knowledge
Version: 0.0.2
Summary: Knowledge curated in BEL from full text during the Human Brain Pharmacome project
Home-page: https://github.com/pharmacome/knowledge
Author: Charles Tapley Hoyt
Author-email: charles.hoyt@scai.fraunhofer.de
Maintainer: Charles Tapley Hoyt
Maintainer-email: charles.hoyt@scai.fraunhofer.de
License: MIT License
Download-URL: https://github.com/pharmacome/knowledge/releases
Project-URL: Bug Tracker, https://github.com/pharmacome/knowledge/issues
Project-URL: Source Code, https://github.com/pharmacome/knowledge
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
Description-Content-Type: text/markdown
Requires-Dist: bel-repository (>=0.0.3)

<h1 align="center">
  <br>
  HBP Knowledge
  <a href="https://travis-ci.com/pharmacome/knowledge">
    <img src="https://travis-ci.com/pharmacome/knowledge.svg?branch=master"
         alt="Travis CI">
  </a>
  <br>
</h1>

<p align="center">
This repository contains knowledge curated in Biological Expression Language (BEL)
for the Human Brain Pharmacome (HBP) project.
</p>

## Installation

The latest version can be installed form GitHub with:

```bash
$ pip install git+https://github.com/pharmacome/knowledge.git
```

## Usage

The graph can be loaded with:

```python
from hbp_knowledge import get_graphs
from pybel import union

# Get all graphs
graphs = get_graphs()

# Combine them all using pybel.union
graph = union(graphs.values())
```

## License

- BEL scripts in this repository are licensed under the CC BY 4.0 license.
- Python source code in this repository is licensed under the MIT license.


