{ "info": { "author": "Caio S. Souza", "author_email": "caiobiounb@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)", "Natural Language :: English", "Operating System :: POSIX :: Linux", "Programming Language :: C++", "Programming Language :: Cython", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering :: Bio-Informatics" ], "description": "========\n MIGA\n========\n**MIGA** is a Python package that provides a MSA (Multiple Sequence Alignment) mutual information genetic algorithm optimizer. It sorts two MSAs in a way that maximize or minimize their mutual information. The genetic algorithm solvers may run on both CPU and Nvidia GPUs.\n\nCode is hosted at GitHub_.\n\nLicense\n=======\nThis software is copyright\n * 2018 Caio Silva Souza and all contributors listed in the file AUTHORS unless stated otherwise in the source files.\n\nMIGA is released under the LGPL software license, version 3 or later.\n\nContact\n=======\nPlease report bugs and feature requests through the `Issues Tracker`_.\n\nDocumentation\n=============\nPlese refer to the examples_ folder in the code repository and to `online documentation`_ to learn how to use this package.\n\nInstalation\n===========\nFor installation instructions please refer to the `project page`_.\n\n.. Footnotes\n.. _Github: https://github.com/caioss/miga\n.. _Issues Tracker: https://github.com/caioss/miga/issues\n.. _examples: https://github.com/caioss/miga/tree/master/examples\n.. _online documentation: https://miga.readthedocs.io\n.. _project page: https://github.com/caioss/miga/blob/master/README.rst", "description_content_type": "text/x-rst", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/caioss/miga", "keywords": "mutual information,sequence alignment,cuda,GPU,genetic algorithm", "license": "LGPLv3+", "maintainer": "", "maintainer_email": "", "name": "miga", "package_url": "https://pypi.org/project/miga/", "platform": "", "project_url": "https://pypi.org/project/miga/", "project_urls": { "Documentation": "https://miga.readthedocs.io/", "Homepage": "https://github.com/caioss/miga", "Source": "https://github.com/caioss/miga/", "Tracker": "https://github.com/caioss/miga/issues/" }, "release_url": "https://pypi.org/project/miga/1.0.0/", "requires_dist": null, "requires_python": "", "summary": "Python package to optimize mutual information between two multiple sequence alignment.", "version": "1.0.0" }, "last_serial": 4298417, "releases": { "1.0.0": [ { "comment_text": "", "digests": { "md5": "365bc82026ab077bef203f419c2e3f92", "sha256": "bb77937c58c4bcf9b7a0faa5970ca30f178b06f6e103b5251edbac5bff15b369" }, "downloads": -1, "filename": "miga-1.0.0.tar.gz", "has_sig": false, "md5_digest": "365bc82026ab077bef203f419c2e3f92", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 531308, "upload_time": "2018-09-22T00:02:54", "url": "https://files.pythonhosted.org/packages/2b/0d/010219a57412190da18d22be160103fef588c5c31534e84c1364bf6c5522/miga-1.0.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "365bc82026ab077bef203f419c2e3f92", "sha256": "bb77937c58c4bcf9b7a0faa5970ca30f178b06f6e103b5251edbac5bff15b369" }, "downloads": -1, "filename": "miga-1.0.0.tar.gz", "has_sig": false, "md5_digest": "365bc82026ab077bef203f419c2e3f92", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 531308, "upload_time": "2018-09-22T00:02:54", "url": "https://files.pythonhosted.org/packages/2b/0d/010219a57412190da18d22be160103fef588c5c31534e84c1364bf6c5522/miga-1.0.0.tar.gz" } ] }