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        "author": "DV Klopfenstein",
        "author_email": "dvklopfenstein@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: Bio-Informatics"
        ],
        "description": "# [Reactome](https://reactome.org/), Python, and Neo4j\n\nExplore biomolecular pathways in Reactome from the command-line or a Python script.    \n\nIn addition to biomolecular pathways,\nReactome contains \nexpert-authored and peer-reviewed\nreactions, \nmolecular complex ingredients and structure, and\nprotein-protein interactions.\n\nReactome also provides links from pathways, reactions, and molecules to \nbiological models, associated research papers, URLs, and books.\n\n\n## Use this Python3 library to:\n\n  1) Run [**Reactome's Neo4j Tutorial**](https://reactome.org/dev/graph-database/extract-participating-molecules)\n     from one of the [**Jupyter notebooks**](/src/ipy/tutorial/README.md)\n     or a plain [**Python script**](/src/bin_neo4j/tutorial)\n\n  2) Find enriched pathways\n     [**from the command line**](/doc/md/README_analyses.md),\n     accessing Reactome's online\n     [**Pathway Analysis Service**](https://reactome.org/AnalysisService/) \n\n  3) Write your own Python scripts accessing the Reactome database through Neo4j\n\n\n## Links\n  * **User's Download hints**:\n    * [1) Install Neo4j](/doc/md/README_install_neo4j.md)    \n    * [2) Download Reactome Knowledgebase](/doc/md/README_download_hints.md)   \n  * **Reactome Publications**\n    * 2018 | [Reactome graph database: Efficient access to complex pathway data](https://journals.plos.org/ploscompbiol/article?rev=2&id=10.1371/journal.pcbi.1005968)\n  * **Reactome Documentation**    \n    * [Data Schema](https://reactome.org/content/schema/DatabaseObject)    \n    * [Glossary Data Model](http://wiki.reactome.org/index.php/Glossary_Data_Model)    \n    * [Icon library](https://reactome.org/icon-lib)    \n    * [Reactome Graph Database on GitHub](https://github.com/reactome/graph-core)    \n\n  * We use the **Neo4j Python driver** that is [officially supported](https://neo4j.com/developer/python) by Neo4j\n    * https://github.com/neo4j/neo4j-python-driver\n\n## To Cite\n\n_Please cite if this repo is used in your research_:\n\nKlopfenstein DV, Dampier W [_ReactomePy_](https://doi.org/10.5281/zenodo.2634376)\n_Zenodo_ | (2019) | DOI: 10.5281/zenodo.2634376\n\n### BibLaTeX citation\n\n```\n@online{klopfenstein2019reactomepy,\n  author = {Klopfenstein, DV and \n            Dampier, W},\n  title = {ReactomePy},\n  year = 2019,\n  month = apr,\n  url = {https://github.com/dvklopfenstein/ReactomePy},\n  doi = {10.5281/zenodo.2634376},\n}\n```\n\nCopyright (C) 2018-2019, DV Klopfenstein. All rights reserved.\n\n\n",
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        "home_page": "http://github.com/dvklopfenstein/ReactomePy",
        "keywords": "",
        "license": "",
        "maintainer": "",
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        "name": "reactomepy",
        "package_url": "https://pypi.org/project/reactomepy/",
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        "summary": "Explore biomolecular pathways in Reactome from the command line",
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