PyOncoPrint
===========
|downloads| |downloads/month| |downloads/week|
Draw OncoPrint using Python. Check out `example.ipynb </example.ipynb>`_ for basic usage.
Please cite as:
- Jeongbin Park and Nagarajan Paramasivam, "PyOncoPrint: a python package for plotting OncoPrints", *Genomics & Informatics* 21(1): e14 (2023), `doi:10.5808/gi.22079 <https://doi.org/10.5808/gi.22079>`_
An example output:
.. image:: oncoprint.png
:alt: Example oncoprint image
Install
=======
.. code-block:: bash
$ pip install pyoncoprint
Requirements
============
- matplotlib
- numpy
- pandas (to parse pandas dataframe)
License
=======
BSD 2-Clause License
Copyright (c) 2020, Jeongbin Park
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
.. |downloads| image:: https://static.pepy.tech/badge/pyoncoprint
:alt: downloads
:target: https://pepy.tech/project/pyoncoprint
.. |downloads/month| image:: https://static.pepy.tech/badge/pyoncoprint/month
:alt: downloads/month
:target: https://pepy.tech/project/pyoncoprint
.. |downloads/week| image:: https://static.pepy.tech/badge/pyoncoprint/week
:alt: downloads/week
:target: https://pepy.tech/project/pyoncoprint
Raw data
{
"_id": null,
"home_page": "https://github.com/pjb7687/pyoncoprint",
"name": "pyoncoprint",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": null,
"author": "Jeongbin Park",
"author_email": "jeongbin.park@pusan.ac.kr",
"download_url": "https://files.pythonhosted.org/packages/d8/fb/ff4a3855a5cbb57ffe0b2be4c2f94ec656bb68e0739fb9bd69ab7f48ae7a/pyoncoprint-0.2.5.tar.gz",
"platform": null,
"description": "PyOncoPrint\n===========\n\n|downloads| |downloads/month| |downloads/week|\n\nDraw OncoPrint using Python. Check out `example.ipynb </example.ipynb>`_ for basic usage.\n\nPlease cite as:\n\n- Jeongbin Park and Nagarajan Paramasivam, \"PyOncoPrint: a python package for plotting OncoPrints\", *Genomics & Informatics* 21(1): e14 (2023), `doi:10.5808/gi.22079 <https://doi.org/10.5808/gi.22079>`_\n\nAn example output:\n\n.. image:: oncoprint.png\n :alt: Example oncoprint image\n\nInstall\n=======\n.. code-block:: bash\n\n $ pip install pyoncoprint\n\nRequirements\n============\n- matplotlib\n- numpy\n- pandas (to parse pandas dataframe)\n\nLicense\n=======\nBSD 2-Clause License\n\nCopyright (c) 2020, Jeongbin Park\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n1. Redistributions of source code must retain the above copyright notice, this\n list of conditions and the following disclaimer.\n\n2. Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n\n.. |downloads| image:: https://static.pepy.tech/badge/pyoncoprint\n :alt: downloads\n :target: https://pepy.tech/project/pyoncoprint\n\n.. |downloads/month| image:: https://static.pepy.tech/badge/pyoncoprint/month\n :alt: downloads/month\n :target: https://pepy.tech/project/pyoncoprint\n\n.. |downloads/week| image:: https://static.pepy.tech/badge/pyoncoprint/week\n :alt: downloads/week\n :target: https://pepy.tech/project/pyoncoprint\n",
"bugtrack_url": null,
"license": null,
"summary": "PyOncoPrint",
"version": "0.2.5",
"project_urls": {
"Homepage": "https://github.com/pjb7687/pyoncoprint"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "5bcd223df71d3d2f84e3c3b04848939587fd24425162eae8d254a43484466c8e",
"md5": "d7aa7375959ce3255320960b12a37559",
"sha256": "60cfa90de7863faf388c0d531e1770b44902ef88feaa215605aae2f13084025b"
},
"downloads": -1,
"filename": "pyoncoprint-0.2.5-py3-none-any.whl",
"has_sig": false,
"md5_digest": "d7aa7375959ce3255320960b12a37559",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 9169,
"upload_time": "2024-08-27T01:21:15",
"upload_time_iso_8601": "2024-08-27T01:21:15.214920Z",
"url": "https://files.pythonhosted.org/packages/5b/cd/223df71d3d2f84e3c3b04848939587fd24425162eae8d254a43484466c8e/pyoncoprint-0.2.5-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "d8fbff4a3855a5cbb57ffe0b2be4c2f94ec656bb68e0739fb9bd69ab7f48ae7a",
"md5": "eed9cacf52609ccdb7912d57b4c23728",
"sha256": "0e02b492e6f5ecf20eb81fed1d9c44bdb0ad82143a6fa961b8626f3ae5d5b8c9"
},
"downloads": -1,
"filename": "pyoncoprint-0.2.5.tar.gz",
"has_sig": false,
"md5_digest": "eed9cacf52609ccdb7912d57b4c23728",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 9756,
"upload_time": "2024-08-27T01:21:16",
"upload_time_iso_8601": "2024-08-27T01:21:16.547023Z",
"url": "https://files.pythonhosted.org/packages/d8/fb/ff4a3855a5cbb57ffe0b2be4c2f94ec656bb68e0739fb9bd69ab7f48ae7a/pyoncoprint-0.2.5.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-08-27 01:21:16",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "pjb7687",
"github_project": "pyoncoprint",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"requirements": [],
"lcname": "pyoncoprint"
}
JSON
