{ "info": { "author": "Mike Trizna", "author_email": "mike.trizna@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6" ], "description": "===================\nGenetic Collections\n===================\n\n\n.. image:: https://img.shields.io/pypi/v/genetic_collections.svg\n :target: https://pypi.python.org/pypi/genetic_collections\n :alt: Latest PyPI version\n\n.. image:: https://img.shields.io/travis/MikeTrizna/genetic_collections.svg\n :target: https://travis-ci.org/MikeTrizna/genetic_collections\n :alt: Continuous integration status\n\n.. image:: https://readthedocs.org/projects/genetic-collections/badge/?version=latest\n :target: http://genetic-collections.readthedocs.io/en/latest/?badge=latest\n :alt: Documentation status\n\nA Python library for connecting genetic records with specimen data.\n\n\nInstallation\n------------\n\nThis software requires a working installation of Python 3.5 or higher. Your Python installation should come with a command-line tool called \"pip\", which is used to download packages from PyPI, the Python Package Index. Run the command below, and you should be good to go!\n\n.. code-block:: python\n\n\tpip install genetic_collections\n\n\nCommand Line Usage\n------------------\n\nThe installation from pip should also install several command line programs that act as wrappers for the code contained here.\n\nHere are the available command line tools:\n\n* ncbi_inst_search\n\n.. code-block:: bash\n\n $ ncbi_inst_search \"Smithsonian\"\n\n 6 matching results found.\n Fetching biocollection entries.\n [\n {\n \"Collection Type\": \"museum\",\n \"gb_count\": 20697,\n \"Country\": \"USA\",\n \"Institution Code\": \"USNM\",\n \"NCBI Link\": \"https://www.ncbi.nlm.nih.gov/biocollections/53\",\n \"Institution Name\": \"National Museum of Natural History, Smithsonian Institution\"\n },\n {\n \"Collection Type\": \"herbarium\",\n \"gb_count\": 5269,\n \"Country\": \"USA\",\n \"Institution Code\": \"US\",\n \"NCBI Link\": \"https://www.ncbi.nlm.nih.gov/biocollections/7399\",\n \"Institution Name\": \"Smithsonian Institution, Department of Botany\"\n },\n ...\n\n* gb_search\n\n.. code-block:: bash\n\n $ gb_search -inst_code USNM\n\n Your search found 20697 hits in GenBank\n You can see you search results online at \n https://www.ncbi.nlm.nih.gov/nuccore/?term=%22collection+USNM%22%5Bprop%5D\n\n* gb_fetch\n* bold_inst_search\n* bold_search\n* bold_fetch\n\nPython Library Usage\n--------------------\n\nThe best way to illustrate how the Python library can be used is to view the example workflow in the Jupyter notebook in the \"examples\" directory.\n\nHow to contribute\n-----------------\n\nImposter syndrome disclaimer: I want your help. No really, I do.\n\nThere might be a little voice inside that tells you you're not ready; that you need to do one more tutorial, or learn another framework, or write a few more blog posts before you can help me with this project.\n\nI assure you, that's not the case.\n\nThis project has some clear Contribution Guidelines and expectations that you can read here (link).\n\nThe contribution guidelines outline the process that you'll need to follow to get a patch merged. By making expectations and process explicit, I hope it will make it easier for you to contribute.\n\nAnd you don't just have to write code. You can help out by writing documentation, tests, or even by giving feedback about this work. (And yes, that includes giving feedback about the contribution guidelines.)\n\nThank you for contributing!\n\nNext Steps\n----------\n\n* Incorporate MIXS standards\n* Add the ability to translate GenBank and BOLD results to DwC format in order to compare\n* Add iDigBio and GBIF APIs as data sources for specimen data (and GenBank accessions)\n\nCredits\n-------\n\n\"How to contribute\" was taken from https://github.com/adriennefriend/imposter-syndrome-disclaimer.\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n\n=======\nHistory\n=======\n\n0.1.0 (2017-10-05)\n------------------\n\n* First release on PyPI.\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": 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