{ "info": { "author": "Deren Eaton", "author_email": "deren.eaton@yale.edu", "bugtrack_url": null, "classifiers": [ "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7" ], "description": "ipyrad (In development)\n=======================\n\n.. image:: https://badges.gitter.im/Join%20Chat.svg\n :alt: Join the chat at https://gitter.im/dereneaton/ipyrad\n :target: https://gitter.im/dereneaton/ipyrad?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge\n\nInteractive assembly and analysis of RAD-seq data sets.\n\nTutorials\n---------\n\nDocumentation is in the works_, for now there are working example tutorials_.\n\n.. _tutorials: http://nbviewer.ipython.org/github/dereneaton/ipyrad/tree/master/tests/\n\n.. _works: http://ipyrad.readthedocs.org/en/latest/ \n\nInstallation\n------------\nipyrad will be available through conda and pip with all dependencies included.\n\n\nWhat's new?\n-----------\n\nIn addition to a command line interface that will be familiar to pyrad users, ipyrad offers an additional way to interact with the data through writing Python scripts that access the ipyrad API. This provides an easier way to construct branching assembly architectures in which data sets are assembled under a number of parameter options. ...\n\n\nLicense\n-------\nGPLv3\n\n\nContributors\n------------\n`Deren Eaton `_. \n`Isaac Overcast `_.", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/dereneaton/ipyrad", "keywords": null, "license": "GPL", "maintainer": null, "maintainer_email": null, "name": "ipyrad", "package_url": "https://pypi.org/project/ipyrad/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/ipyrad/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/dereneaton/ipyrad" }, "release_url": "https://pypi.org/project/ipyrad/0.1.32/", "requires_dist": null, "requires_python": null, "summary": "Interactive assembly and analysis of RADseq data sets", "version": "0.1.32" }, "last_serial": 1919970, "releases": { "0.1.26": [ { "comment_text": "", "digests": { "md5": "fb42520fbb4631d4537d5023203b5f61", "sha256": "fbb1118c7b09fb1a0a7fdadc529e98ccd2a0c17737cd0123d875d39a045002ee" }, "downloads": -1, "filename": "ipyrad-0.1.26.tar.gz", "has_sig": false, "md5_digest": "fb42520fbb4631d4537d5023203b5f61", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 100216, "upload_time": "2016-01-22T22:39:52", "url": "https://files.pythonhosted.org/packages/26/7a/555048db002d35060d4a3e6d6d480d470c5f09c5e696705b4bc095dee114/ipyrad-0.1.26.tar.gz" } ], "0.1.27": [ { "comment_text": "", "digests": { "md5": "e31f6487f54c92d3b4df46928e652b0f", "sha256": "510e9d46b02ee55a0234a9de2ae96bec775b364f65c64391837df781336a5f82" }, "downloads": -1, "filename": "ipyrad-0.1.27.tar.gz", "has_sig": false, "md5_digest": "e31f6487f54c92d3b4df46928e652b0f", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 100213, "upload_time": "2016-01-22T23:02:22", "url": "https://files.pythonhosted.org/packages/be/9f/24c3c29fe5caa8a84ededa9aeafd2c4cf28557a065c5554d3b5726cd9779/ipyrad-0.1.27.tar.gz" } ], "0.1.29": [ { "comment_text": "", "digests": { "md5": "02f68ff125242fe4bc32148ecd99cdde", "sha256": "5982f36ba98bbd5f22678c5d7866e3f381403aa31c6854ba6223a6c4990f6174" }, "downloads": -1, "filename": "ipyrad-0.1.29.tar.gz", "has_sig": false, "md5_digest": "02f68ff125242fe4bc32148ecd99cdde", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 102536, "upload_time": "2016-01-23T07:09:06", "url": "https://files.pythonhosted.org/packages/62/0f/520fc1cf256fd7bcacd75587472b8cd1a12c7b1698759e5f537d19fb2926/ipyrad-0.1.29.tar.gz" } ], "0.1.31": [ { "comment_text": "", "digests": { "md5": "187d8fea97562c93db8281472a03c70c", "sha256": "a15078288f6a5884607ab038e09968d72b41389e7e44652e1246ab96784f5215" }, "downloads": -1, "filename": "ipyrad-0.1.31.tar.gz", "has_sig": false, "md5_digest": "187d8fea97562c93db8281472a03c70c", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 102465, "upload_time": "2016-01-23T22:14:43", "url": "https://files.pythonhosted.org/packages/30/0a/6afa1f537339770260a7ccecfa1c30dc17c24c5f6b16def16a89aba6a55e/ipyrad-0.1.31.tar.gz" } ], "0.1.32": [ { "comment_text": "", "digests": { "md5": "92c167860fc85aaf767d6abd235e1e03", "sha256": "7bb843e5d6cecf1ea575b2060df6388e9561e85d70fa462edd3da2ebb5661280" }, "downloads": -1, "filename": "ipyrad-0.1.32.tar.gz", "has_sig": false, "md5_digest": "92c167860fc85aaf767d6abd235e1e03", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 102237, "upload_time": "2016-01-24T08:00:29", "url": "https://files.pythonhosted.org/packages/61/b8/c933ff456c7db637ef0f385ba2abaf08986ae576a2b8bbc39aa65a952681/ipyrad-0.1.32.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "92c167860fc85aaf767d6abd235e1e03", "sha256": "7bb843e5d6cecf1ea575b2060df6388e9561e85d70fa462edd3da2ebb5661280" }, "downloads": -1, "filename": "ipyrad-0.1.32.tar.gz", "has_sig": false, "md5_digest": "92c167860fc85aaf767d6abd235e1e03", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 102237, "upload_time": "2016-01-24T08:00:29", "url": "https://files.pythonhosted.org/packages/61/b8/c933ff456c7db637ef0f385ba2abaf08986ae576a2b8bbc39aa65a952681/ipyrad-0.1.32.tar.gz" } ] }