{ "info": { "author": "Danilo Horta", "author_email": "horta@ebi.ac.uk", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Console", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python" ], "description": "unvcf\n=====\n\n|Travis| |AppVeyor|\n\nSplit VCF file into intelligible tab-delimited files.\n\nVCF stands for variants call format and is widelly used in\nbioinformatics for saving XX information for being flexible enough to\nstore a wide range of data. Although it has been inspired by CSV files\nto (I suppose) make VCF easy to read by humans and easy to parse by\nmachines, it is nowadays hardly doing well in both instances. It is a\nfile format whose full specification cannot be given before-hand as each\nVCF files is free to specify the format of its own fields. As a result,\nthe first step to process data contained in a VCF file is often\nextracting a subset of it and converting the extract data into a more\namenable file format.\n\nThis command-line Python package aims to tackle the above problems. It\nwill split a VCF format into standard CSV files, each of which\ncontaining a different field of the original VCF file. Therefore\nfacilitating making it both easier to read by humans and machines again.\n\nInstall\n-------\n\nAssuming you have a up-to-date Python installation, you will almost\ncertainly have all the necessary requirements to install unvcf. From\nterminal, enter:\n\n.. code:: bash\n\n pip install unvcf\n\nUsage\n-----\n\nAfter the installation, you will have acccess to ``unvcf`` from\nterminal. In which case you can start using it as follows:\n\n.. code:: bash\n\n unvcf path_to_file.vcf destination_folder/\n\nThis will produce CSV files that represent the original fields of\n``path_to_file.vcf``. For more information, you can enter\n\n.. code:: bash\n\n unvcf --help\n\nIf by any change you face a problem or have a question, please, create a\n`new issue `__ and we will\ntry to sort it out as soon as possible.\n\nAuthors\n-------\n\n- `Danilo Horta `__\n\nLicense\n-------\n\nThis project is licensed under the `MIT\nLicense `__.\n\n.. |Travis| image:: https://img.shields.io/travis/horta/unvcf.svg?style=flat-square&label=linux%20%2F%20macos%20build\n :target: https://travis-ci.org/horta/unvcf\n.. |AppVeyor| image:: https://img.shields.io/appveyor/ci/Horta/unvcf.svg?style=flat-square&label=windows%20build\n :target: https://ci.appveyor.com/project/Horta/unvcf", "description_content_type": null, "docs_url": null, "download_url": "https://github.com/horta/unvcf", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/horta/unvcf", "keywords": "vcf file,genotype,variant call,converter", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "unvcf", "package_url": "https://pypi.org/project/unvcf/", "platform": "OS Independent", "project_url": "https://pypi.org/project/unvcf/", "project_urls": { "Download": "https://github.com/horta/unvcf", "Homepage": "https://github.com/horta/unvcf" }, "release_url": "https://pypi.org/project/unvcf/0.1.2/", "requires_dist": null, "requires_python": "", "summary": "Split VCF file into intelligible tab-delimited files", "version": "0.1.2" }, "last_serial": 3517252, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "2e8a7173cefad4c415d6de4240eccc86", "sha256": "2741b44ee6a36ccb90b6468e69ce9b3356c376ae9d6288f07b797467c3c3506d" }, "downloads": -1, "filename": "unvcf-0.1.0.tar.gz", "has_sig": false, "md5_digest": "2e8a7173cefad4c415d6de4240eccc86", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1100754, "upload_time": "2018-01-24T13:22:55", "url": "https://files.pythonhosted.org/packages/3e/c9/cfa3dafdae30d2cd34eb52bc8d8c1d69d0887a0e19691aa8d4902bfa7a8f/unvcf-0.1.0.tar.gz" } ], "0.1.1": [ { "comment_text": "", "digests": { "md5": "31c193b92f2760f1319530f5e0c56093", "sha256": "8873d5e4282aff922f7beb6da1320608e03ca9cd0c815347eebc6cea10654a5f" }, "downloads": -1, "filename": "unvcf-0.1.1.tar.gz", "has_sig": false, "md5_digest": "31c193b92f2760f1319530f5e0c56093", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1100744, "upload_time": "2018-01-24T13:44:56", "url": "https://files.pythonhosted.org/packages/9a/ee/4dd499a3bd8ae08e1420629e5b5ee179e13e9a03326fdf63ad0423517b8b/unvcf-0.1.1.tar.gz" } ], "0.1.2": [ { "comment_text": "", "digests": { "md5": "70306e9e11043521a047ef3b00b273e9", "sha256": "efcea32ea52e79ddd459e801b4abcc28817eb4a05afd187380d9007bf86a4072" }, "downloads": -1, "filename": "unvcf-0.1.2.tar.gz", "has_sig": false, "md5_digest": "70306e9e11043521a047ef3b00b273e9", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1100742, "upload_time": "2018-01-24T13:54:56", "url": "https://files.pythonhosted.org/packages/02/e3/4a8b1b09fc0da10a402f9c828d8720f360fd65ec9f3d66eabd8b2b8cf6c9/unvcf-0.1.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "70306e9e11043521a047ef3b00b273e9", "sha256": "efcea32ea52e79ddd459e801b4abcc28817eb4a05afd187380d9007bf86a4072" }, "downloads": -1, "filename": "unvcf-0.1.2.tar.gz", "has_sig": false, "md5_digest": "70306e9e11043521a047ef3b00b273e9", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1100742, "upload_time": "2018-01-24T13:54:56", "url": "https://files.pythonhosted.org/packages/02/e3/4a8b1b09fc0da10a402f9c828d8720f360fd65ec9f3d66eabd8b2b8cf6c9/unvcf-0.1.2.tar.gz" } ] }