This repository contains knowledge curated in Biological Expression Language (BEL) for NeuroMMSig during the AETIONOMY project.
Installation • Usage • Citation • License • Acknowledgements
neurommsig_knowledge can be installed from PyPI with the following command:
$ pip install neurommsig_knowledgeThe latest version can be installed from GitHub with:
$ pip install git+https://github.com/neurommsig/neurommsig-knowledge.gitThe graph can be loaded with:
from neurommsig_knowledge import repository
from pybel import union
# Get all graphs
graphs = repository.get_graphs()
# Combine them all using pybel.union
graph = union(graphs.values())If you find NeuroMMSig useful in your work, consider citing:
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Domingo-Fernández, D., et al (2017). Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): A web server for mechanism enrichment. Bioinformatics, 33(22), 3679–3681.
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Hoyt, C. T., et al (2019). Re-curation and Rational Enrichment of Knowledge Graphs in Biological Expression Language. Database.
- 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.
This work was supported by the European Union/European Federation of Pharmaceutical Industries and Associations (EFPIA) Innovative Medicines Initiative Joint Undertaking under AETIONOMY [grant number 115568], resources of which are composed of financial contribution from the European Union’s Seventh Framework Programme (FP7/2007-2013) and EFPIA companies in kind contribution.