{ "info": { "author": "James Alastair McLaughlin", "author_email": "james@mclgh.net", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python :: 2", "Programming Language :: Python :: 3" ], "description": "# PySBOLGraph\n\nPySBOLGraph is a simple native Python library to read and write [SBOL2](http://sbolstandard.org) files, compatible with both Python 2.7 and Python 3.\n\nInstall using ``pip install pysbolgraph``, or clone this repository and run ``python setup.py install``\n\n## Examples\n\nThe file ``crispr.py`` reproduces the CRISPR example that is also used in the tutorials for [libSBOL](http://sbolstandard.org/wp-content/uploads/2017/01/libSBOL-tutorial.pdf), [libSBOLj](http://sbolstandard.org/wp-content/uploads/2015/01/libSBOLjTutorial.pdf), [sboljs](http://sbolstandard.org/wp-content/uploads/2015/01/sboljs_tutorial.pdf) and [pysbol](http://sbolstandard.org/wp-content/uploads/2018/05/pysbol-crispr-tutorial_v2.pdf). \n\n## See also\n\nFor a more powerful library with features such as automated sequence assembly, check out [pysbol](https://github.com/SynBioDex/pySBOL).\n\nFor a JavaScript/TypeScript version of this library, check out [the original sbolgraph](https://github.com/udp/sbolgraph).\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/udp/pysbolgraph", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "pysbolgraph", "package_url": "https://pypi.org/project/pysbolgraph/", "platform": "", "project_url": "https://pypi.org/project/pysbolgraph/", "project_urls": { "Homepage": "https://github.com/udp/pysbolgraph" }, "release_url": "https://pypi.org/project/pysbolgraph/0.1.0/", "requires_dist": [ "lxml", "rdflib", "requests" ], "requires_python": "", 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