hbp-knowledge 0.0.7

Knowledge curated in BEL from full text during the Human Brain Pharmacome project

Curation of Neurodegeneration in BEL (CONIB)

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

Installation • Usage • Contributing • License

Content

• hbp_knowledge: This folder contains curated BEL documents. Most have been organized by category (protein of interest, biological process of interest, pathway, etc.). Almost BEL documents correspond to a single publication, but a select few contain content from several due to topic-based curation.
• docs: This folder contains automatically generated HTML summaries of the content that can best be accesed through https://pharmacome.github.io/conib.
• notebooks: This folder contains various Jupyter notebooks associated with the repository. Since many of them use PyBEL-Jupyter, they may be best viewed using NBViewer.

Curation Planning

Here are a few links for navigating the GitHub issues and pull requests:

• Pull requests for curation
• Pull requests for recuration approved by a reviewer

Installation

hbp_knowledge can be installed from PyPI with the following command:

$ pip install hbp_knowledge

or the latest version can be installed from GitHub with:

$ pip install git+https://github.com/pharmacome/conib.git

Usage

The graph can be loaded with:

import hbp_knowledge

# Get a dictionary of names to graphs
graphs = hbp_knowledge.get_graphs()

# Get all BEL documents as a single graph
graph = hbp_knowledge.get_graph()

Contributing

Contributions are welcome! Please submit all pull requests to https://github.com/pharmacome/conib.

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.