{
    "info": {
        "author": "Samson Fong",
        "author_email": "shfong@ucsd.edu",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Software Development :: Build Tools"
        ],
        "description": "Network Assisted Genomic Analysis (NAGA)\n========================================\n\nNetwork Assisted Genomic Analysis(NAGA) re-prioritizes significant single\nnucleotide polymorphisms (SNPs) to genes using network diffusion methods\nincluding random walk and heat diffusion. \n\nA companion website and REST API can be found at http://nbgwas.ucsd.edu/.\n\nDocumentation\n=============\n\nA readthedocs page will be coming soon! In the mean time, you can view\nthe documentations by building the sphinx documentation in the docs\ndirectory. Simply run the following in the docs folder\n\n.. code:: bash\n\n    make docs\n\nand open the index.html in the docs/build/html directory.\n\nInstallation\n============\n\nIt is recommended that NAGA be run under Anaconda_ with python-igraph_ manually installed using **conda**\nand to create a new conda environment\n\n\nTo create a new **conda** environment and activate it:\n\n.. code:: bash\n\n   conda create -n nagaenv\n   source activate nagaenv\n\nIf you would like to use **naga** in a Jupyter Notebook, you will need to add the Jupyter kernel. To do so: \n\n.. code:: bash \n\n   # Make sure to activate the environment first!\n   conda install ipykernel # or pip install ipykernel\n   python -m ipykernel install --user --name nagaenv --display-name \"Python (Naga)\"\n\n\nTo install python-igraph_ via **conda**:\n\n.. code:: bash\n\n   conda install -c conda-forge python-igraph\n\n\nTo install NAGA via pip:\n\n.. code:: bash\n\n    pip install naga-gwas\n\n\nTutorial\n========\n\n`notebooks/tutorial.ipynb <https://github.com/shfong/naga/blob/master/notebooks/tutorial.ipynb>`_ demonstrates how to use this package once it\nis installed.\n\nCiting NAGA\n=============\n\nPublication to come...\n\n.. _Anaconda: https://anaconda.org\n.. _python-igraph: https://anaconda.org/conda-forge/python-igraph\n\n\n=======\nHistory\n=======\n\n0.4.2.post2 (2019-01-30)\n------------------------\n\n* Added instructions to add Jupyter kernel\n\n0.4.1.post1 (2019-01-24)\n------------------------\n\n* Added link to tutorial notebook in long description\n\n\n0.4.1 (2019-01-09)\n------------------\n\n* First release on PyPI\n\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/shfong/naga",
        "keywords": "",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "naga-gwas",
        "package_url": "https://pypi.org/project/naga-gwas/",
        "platform": "",
        "project_url": "https://pypi.org/project/naga-gwas/",
        "project_urls": {
            "Homepage": "https://github.com/shfong/naga"
        },
        "release_url": "https://pypi.org/project/naga-gwas/0.4.1.post2/",
        "requires_dist": [
            "ijson",
            "requests",
            "pytz (>=2011k)",
            "cycler (>=0.10)",
            "kiwisolver (>=1.0.1)",
            "pyparsing (!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1)",
            "pytz",
            "networkx (==1.11)",
            "numpy",
            "matplotlib",
            "pandas (>=0.23.0)",
            "scipy",
            "seaborn",
            "ndex2",
            "python-igraph",
            "py2cytoscape",
            "coverage",
            "pytest",
            "mygene",
            "scikit-learn",
            "sphinx"
        ],
        "requires_python": "",
        "summary": "Network Assisted Genomic Association",
        "version": "0.4.1.post2"
    },
    "last_serial": 4761986,
    "releases": {
        "0.4.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "7bb08c6bdf3fe87ace2887b94de8a9ea",
                    "sha256": "d352c05e52f68e07d8978624377c50f3d1c4128158c4fa926991984ecc96a77e"
                },
                "downloads": -1,
                "filename": "naga_gwas-0.4.1-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "7bb08c6bdf3fe87ace2887b94de8a9ea",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 19472,
                "upload_time": "2019-01-10T02:10:49",
                "url": "https://files.pythonhosted.org/packages/95/be/22cba4c67cb66fe5aaffb4f8a8399fa4538c9e25726dc9e4ccecc23321de/naga_gwas-0.4.1-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "270f69c391eaf86b607f0948e4b40b72",
                    "sha256": "c79e35e3cbce662fe466eecda353346133e2c30df94eb35c424736ede665b174"
                },
                "downloads": -1,
                "filename": "naga-gwas-0.4.1.tar.gz",
                "has_sig": false,
                "md5_digest": "270f69c391eaf86b607f0948e4b40b72",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 16468,
                "upload_time": "2019-01-10T02:10:51",
                "url": "https://files.pythonhosted.org/packages/27/35/2fea07d9253bb3a58891dc9df0af15c9b8f95b5db4eb892cc79a25d73bb3/naga-gwas-0.4.1.tar.gz"
            }
        ],
        "0.4.1.post1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "a329efb6c3efe41912582407065418f0",
                    "sha256": "3e2477440df13298147ffc96b3231ac8725b2cd36ae9495259923bc8996602bc"
                },
                "downloads": -1,
                "filename": "naga_gwas-0.4.1.post1-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "a329efb6c3efe41912582407065418f0",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 19607,
                "upload_time": "2019-01-25T04:53:33",
                "url": "https://files.pythonhosted.org/packages/03/3a/90dcd55c400d6924a63bbc682614e4042cf2b966ad777e0ec3c775dfe283/naga_gwas-0.4.1.post1-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "c8e63916e8c34f92d49dbcf4324cdbd5",
                    "sha256": "d18d5ff799649351be7343b202e9fc8cd5a26c3e9b6bf61a1079a77ceecae5d3"
                },
                "downloads": -1,
                "filename": "naga-gwas-0.4.1.post1.tar.gz",
                "has_sig": false,
                "md5_digest": "c8e63916e8c34f92d49dbcf4324cdbd5",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 16523,
                "upload_time": "2019-01-25T04:53:34",
                "url": "https://files.pythonhosted.org/packages/fc/9c/04de77d33c810899fc04a5873e37f845a4d8f2f683939e8da6065fddabb4/naga-gwas-0.4.1.post1.tar.gz"
            }
        ],
        "0.4.1.post2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "bd3b6609d41a4cf2eae728c28a7efa53",
                    "sha256": "3fe671798fbf3d4825e3ef4835394417389efed05668015176fe6ac5a37428af"
                },
                "downloads": -1,
                "filename": "naga_gwas-0.4.1.post2-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "bd3b6609d41a4cf2eae728c28a7efa53",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 18947,
                "upload_time": "2019-01-31T01:11:22",
                "url": "https://files.pythonhosted.org/packages/1c/d0/f072b4a2ae4f9314e9272b1ea32052092d204752aa7388270826d4e1b42b/naga_gwas-0.4.1.post2-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "b0063800e841575259917682fc67fb92",
                    "sha256": "2331c098bc8bb3f4c69308495090e570ef2ad3dd7682a00eb2c3162e441321ae"
                },
                "downloads": -1,
                "filename": "naga-gwas-0.4.1.post2.tar.gz",
                "has_sig": false,
                "md5_digest": "b0063800e841575259917682fc67fb92",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 16580,
                "upload_time": "2019-01-31T01:11:23",
                "url": "https://files.pythonhosted.org/packages/e2/6a/d09248cfe69af79b18d38ef36ce95d4e7435aba7aed0186281089c2c9740/naga-gwas-0.4.1.post2.tar.gz"
            }
        ],
        "0.4.1rc3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "fee3f6f13a37d7ce80bdde873e06aee3",
                    "sha256": "5cc2dce3e793ad1dd24ac5f4f5e6ca1c981bcf43385f2ade60fd91096f8c1d75"
                },
                "downloads": -1,
                "filename": "naga_gwas-0.4.1rc3-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "fee3f6f13a37d7ce80bdde873e06aee3",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 19441,
                "upload_time": "2019-01-10T00:37:53",
                "url": "https://files.pythonhosted.org/packages/b7/65/b05e8c77ed5226100ff753fa0c8b9c3afc79286f0e021d06101255a57cac/naga_gwas-0.4.1rc3-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "7e925def97c887c76515edd5417f9ffd",
                    "sha256": "dc7bbc26cbdcc62567512b9cf8232e3cf68c1dc549d0bce8e48761124ae68d23"
                },
                "downloads": -1,
                "filename": "naga-gwas-0.4.1rc3.tar.gz",
                "has_sig": false,
                "md5_digest": "7e925def97c887c76515edd5417f9ffd",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 16396,
                "upload_time": "2019-01-10T00:37:56",
                "url": "https://files.pythonhosted.org/packages/d2/87/e5ed16828eed9f7dff40ce2c84875adde017711bd8b41656de2e20a61f60/naga-gwas-0.4.1rc3.tar.gz"
            }
        ],
        "0.4.1rc4": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "efe87f927d6afa550999e8065637f5b5",
                    "sha256": "2498319cc38a330edc968c54f1426b60fdaf08d857928f0e8c6b9f64a14ef7bb"
                },
                "downloads": -1,
                "filename": "naga_gwas-0.4.1rc4-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "efe87f927d6afa550999e8065637f5b5",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 19500,
                "upload_time": "2019-01-10T00:46:56",
                "url": "https://files.pythonhosted.org/packages/f1/0b/afc5171b264bbf98009fa90fc3909305e9b6811e992202561b03fd212e92/naga_gwas-0.4.1rc4-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "b761a98610997a163a685e0edf0b0360",
                    "sha256": "9c0ce6bda88e3f30cf6d0a856e8288f985390837092def13d40eec8c08e202b0"
                },
                "downloads": -1,
                "filename": "naga-gwas-0.4.1rc4.tar.gz",
                "has_sig": false,
                "md5_digest": "b761a98610997a163a685e0edf0b0360",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 16472,
                "upload_time": "2019-01-10T00:46:57",
                "url": "https://files.pythonhosted.org/packages/4d/38/963569ab8111fc0a5384ab0f201b859f17b436883eb111e9c6467c257a49/naga-gwas-0.4.1rc4.tar.gz"
            }
        ],
        "0.4.1rc5": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "fc045ab054a521caedbe0eedf7848e29",
                    "sha256": "66cab183734898fc6da02415af67c36f7b43b45ba1eb996a4112488cab01b8b2"
                },
                "downloads": -1,
                "filename": "naga_gwas-0.4.1rc5-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "fc045ab054a521caedbe0eedf7848e29",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 19515,
                "upload_time": "2019-01-10T00:54:57",
                "url": "https://files.pythonhosted.org/packages/77/5e/bc26f7d4d2fc54884d4373125e39fa7ab59cf542d9fd79b750ec49c159e1/naga_gwas-0.4.1rc5-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "05b96e9cf7ab952b9c77410746268a9c",
                    "sha256": "2cf1baf6ef36cebba29d6758ec944b02b95d2caf724a25a1ba5735d30b8139ea"
                },
                "downloads": -1,
                "filename": "naga-gwas-0.4.1rc5.tar.gz",
                "has_sig": false,
                "md5_digest": "05b96e9cf7ab952b9c77410746268a9c",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 16470,
                "upload_time": "2019-01-10T00:54:58",
                "url": "https://files.pythonhosted.org/packages/a8/b8/7b94c0379850c3a86bd2308925086a41346fc50ad109923b2cc122b19147/naga-gwas-0.4.1rc5.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "bd3b6609d41a4cf2eae728c28a7efa53",
                "sha256": "3fe671798fbf3d4825e3ef4835394417389efed05668015176fe6ac5a37428af"
            },
            "downloads": -1,
            "filename": "naga_gwas-0.4.1.post2-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "bd3b6609d41a4cf2eae728c28a7efa53",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 18947,
            "upload_time": "2019-01-31T01:11:22",
            "url": "https://files.pythonhosted.org/packages/1c/d0/f072b4a2ae4f9314e9272b1ea32052092d204752aa7388270826d4e1b42b/naga_gwas-0.4.1.post2-py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "b0063800e841575259917682fc67fb92",
                "sha256": "2331c098bc8bb3f4c69308495090e570ef2ad3dd7682a00eb2c3162e441321ae"
            },
            "downloads": -1,
            "filename": "naga-gwas-0.4.1.post2.tar.gz",
            "has_sig": false,
            "md5_digest": "b0063800e841575259917682fc67fb92",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 16580,
            "upload_time": "2019-01-31T01:11:23",
            "url": "https://files.pythonhosted.org/packages/e2/6a/d09248cfe69af79b18d38ef36ce95d4e7435aba7aed0186281089c2c9740/naga-gwas-0.4.1.post2.tar.gz"
        }
    ]
}