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        "author": "Florian P. Bayer",
        "author_email": "f.bayer@tum.de",
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            "Development Status :: 1 - Planning",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: Bio-Informatics",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "PyOmics\n=======\n\n|Version| |Build Status|\n\n**PyOmics - A library for dealing with omic-data in the life sciences**\n\nInfo\n~~~~\n\nProject has started in April 2017. So there are not a lot of things\nonline right now.\n\nThe goal of the project is to build some nice functionality for many\ntasks with which scientists have to deal on a daily basis.\n\nFeel free to make suggestions to the project and I'm looking forward to\nany contributions.\n\nInstallation\n~~~~~~~~~~~~\n\nSimply use the Python package index to install PyOmics. This way is\nrecommended since it provides full pip functionality (upgrade,\nuninstall).\n\n.. code:: shell\n\n    $ pip install PyOmics\n\nAlternatively, you can clone the repository and manually run setup.py.\nThis will always give you the latest version of PyOmics, but might be\nunstable at some point.\n\n.. code:: shell\n\n    $ git clone https://github.com/FloBay/PyOmics.git\n    $ cd <path_to>/PyOmics\n    $ python setup.py install\n\nDocumentation\n~~~~~~~~~~~~~\n\nThere is no official documentation file available (so far). Sorry about\nthat !! At some point in the future, however, there will be one\navailable.\n\nMeanwhile, PyOmics places a high premium on well documented source code\nin compliance with several PEPs. Docstrings are written according to the\nNumPy/SciPy Documentation formatting Guide.\n\n.. |Version| image:: https://img.shields.io/pypi/v/PyOmics.svg\n   :target: https://pypi.python.org/pypi/PyOmics\n.. |Build Status| image:: https://travis-ci.org/FloBay/PyOmics.svg?branch=master\n   :target: https://travis-ci.org/FloBay/PyOmics\n\n\n",
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        "keywords": "PyOmics bioinformatics omics science data analysis easy",
        "license": "MIT",
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        "name": "PyOmics",
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