{ "info": { "author": "Luca Cappelletti", "author_email": "cappelletti.luca94@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3" ], "description": "Active regulatory regions prediction dataset renderer\n===================================================================\nSimple python tool to render dataset that can be used for training models for active regulatory regions prediction.\n\nHow to get the dataset?\n--------------------------\nJust clone the repo.\n\nHow to get the package?\n---------------------------\nJust type into your terminal:\n\n.. code:: shell\n\n pip install arrp_dataset\n\nWhich genome does it use by default?\n----------------------------------------\nBy default it uses hg19_, as it is the genome used in the labeled data currently available from the Wasserman team.\n\nDependencies\n------------------------------\nThis package will use the package bedtools_ to elaborate the bed files. 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