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        "author": "James Pino",
        "author_email": "james.ch.pino@gmail.com",
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        "description": "==================================================================\nMAGINE : Mechanism of Action Generator involving Network Expansion\n==================================================================\n\n.. image:: https://api.codacy.com/project/badge/Grade/cba1091c58a246bfb07f7ed7f86afe24\n   :alt: Codacy Badge\n   :target: https://app.codacy.com/app/james.c.pino/MAGINE?utm_source=github.com&utm_medium=referral&utm_content=LoLab-VU/MAGINE&utm_campaign=badger\n\n.. image:: https://travis-ci.org/LoLab-VU/MAGINE.svg?branch=master\n    :target: https://travis-ci.org/LoLab-VU/MAGINE\n\n.. image:: https://codecov.io/gh/LoLab-VU/MAGINE/branch/master/graph/badge.svg\n    :target: https://codecov.io/gh/LoLab-VU/MAGINE\n\n.. image:: https://readthedocs.org/projects/magine/badge/?version=latest\n   :target: https://magine.readthedocs.io/en/latest/?badge=latest\n   :alt: Documentation Status\n\n.. image:: https://mybinder.org/badge.svg\n    :target: https://mybinder.org/v2/gh/LoLab-VU/MAGINE/master\n\nMAGINE is a framework for the analysis of quantitative multi-omics data.\nIt was designed to handle multi-sample (time points) and multi-omics\n(rnaseq, label-free proteomics, etc). Users are provided access to tools driven\naround their experimental data. Provides access to enrichment analysis, biological\nnetwork construction and various visualization methods.\n\n\nDocumentation\n=============\n\nThe manual is available online at http://magine.readthedocs.io.\n\n.. _Anaconda: https://www.anaconda.com/distribution/#download-section\n\nInstallation\n============\n\n1. Install Anaconda\n\n   Our recommended approach is to use Anaconda_, which is a\n   distribution of Python containing most of the numeric and scientific\n   software needed to get started. If you are a Mac or Linux user, have\n   used Python before and are comfortable using ``pip`` to install\n   software, you may want to skip this step and use your existing Python\n   installation.\n\n   Anaconda has a simple graphical installer which can be downloaded\n   from https://www.anaconda.com/distribution/#download-section - select\n   your operating system and download the **Python 3.7 version**. The\n   default installer options are usually appropriate.\n\n2. Open a terminal\n\n   We will install most packages with conda::\n\n      $ conda create -n magine_env python=3.7\n      $ conda activate magine_env\n      $ conda config --add channels conda-forge\n      $ conda install jinja2 statsmodels networkx graphviz\n      $ conda install -c marufr python-igraph\n\n   **Windows users:** Please download and install igraph and pycairo\n   using the wheel files provided by Christoph Gohlke, found at\n   https://www.lfd.uci.edu/~gohlke/ . Download and install via pip.\n\n3. Install MAGINE\n\n   The installation is very straightforward with ``pip`` - type the following in a terminal::\n\n      $ pip install magine\n\n4. Start Python and MAGINE\n\n   From the terminal or command prompt type ::\n\n      $ jupyter notebook\n\n   You will then be at the Python prompt. Type ``import magine`` to try\n   loading magine. If no error messages appear and the next Python\n   prompt appears, you have succeeded in installing magine!\n\n\n\n\n\n",
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