=========
xiRescore
=========
.. image:: https://img.shields.io/pypi/v/xirescore
:target: https://pypi.python.org/pypi/xirescore
:alt: PyPI - Package Version
.. image:: https://img.shields.io/pypi/pyversions/xirescore
:target: https://pypi.python.org/pypi/xirescore
:alt: PyPI - Python Version
.. image:: https://readthedocs.org/projects/xirescore/badge/
:target: https://xirescore.readthedocs.io/en/
:alt: Documentation Status
.. image:: https://img.shields.io/pypi/l/xirescore
:target: https://github.com/Rappsilber-Laboratory/xiRescore/blob/main/LICENSE
:alt: PyPI - License
.. image:: https://img.shields.io/badge/DOI-todo-gray
:target: https://github.com/Rappsilber-Laboratory/xiRescore/
:alt: DOI
A machine learning based approach to rescore crosslinked spectrum matches (CSMs).
* Free software: GNU Affero General Public License v3 or later (AGPLv3+)
* Documentation: https://xirescore.readthedocs.io.
Credits
-------
This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
Raw data
{
"_id": null,
"home_page": "https://github.com/Rappsilber-Laboratory/xiRescore",
"name": "xirescore",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.9",
"maintainer_email": null,
"keywords": "proteomics, rescoring, crosslink, mass spectrometry",
"author": "Falk Boudewijn Schimweg",
"author_email": "\"Falk B. Schimweg\" <git@falk.schimweg.de>",
"download_url": "https://files.pythonhosted.org/packages/92/d2/cb898fa29e9a7c171c0fd5c4ccc0287d5e3e15b6520e71cc648140b06b6e/xirescore-1.0.0a13.tar.gz",
"platform": null,
"description": "=========\nxiRescore\n=========\n\n\n.. image:: https://img.shields.io/pypi/v/xirescore\n :target: https://pypi.python.org/pypi/xirescore\n :alt: PyPI - Package Version\n\n.. image:: https://img.shields.io/pypi/pyversions/xirescore\n :target: https://pypi.python.org/pypi/xirescore\n :alt: PyPI - Python Version\n\n.. image:: https://readthedocs.org/projects/xirescore/badge/\n :target: https://xirescore.readthedocs.io/en/\n :alt: Documentation Status\n\n.. image:: https://img.shields.io/pypi/l/xirescore\n :target: https://github.com/Rappsilber-Laboratory/xiRescore/blob/main/LICENSE\n :alt: PyPI - License\n\n.. image:: https://img.shields.io/badge/DOI-todo-gray\n :target: https://github.com/Rappsilber-Laboratory/xiRescore/\n :alt: DOI\n\n\n\nA machine learning based approach to rescore crosslinked spectrum matches (CSMs).\n\n\n* Free software: GNU Affero General Public License v3 or later (AGPLv3+)\n* Documentation: https://xirescore.readthedocs.io.\n\n\nCredits\n-------\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",
"bugtrack_url": null,
"license": "GNU Affero General Public License v3 or later (AGPLv3+)",
"summary": "A corss-link mass spectrometry rescoring tool",
"version": "1.0.0a13",
"project_urls": {
"Documentation": "https://xirescore.readthedocs.io/",
"Homepage": "https://github.com/Rappsilber-Laboratory/xiRescore",
"Issues": "https://github.com/Rappsilber-Laboratory/xiRescore/issues"
},
"split_keywords": [
"proteomics",
" rescoring",
" crosslink",
" mass spectrometry"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "afcc4f37bdb886e0695a6add19ca68dcbf46ea448365a58052315755922e9206",
"md5": "15f4c06b49a2365fb6e1c444ba08ea22",
"sha256": "5363b175779a7eefdd8ff0fae7ef9676cd657a30626f365eb5b7577bd8170996"
},
"downloads": -1,
"filename": "xirescore-1.0.0a13-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "15f4c06b49a2365fb6e1c444ba08ea22",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": ">=3.9",
"size": 48418,
"upload_time": "2024-10-05T11:01:45",
"upload_time_iso_8601": "2024-10-05T11:01:45.930141Z",
"url": "https://files.pythonhosted.org/packages/af/cc/4f37bdb886e0695a6add19ca68dcbf46ea448365a58052315755922e9206/xirescore-1.0.0a13-py2.py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "92d2cb898fa29e9a7c171c0fd5c4ccc0287d5e3e15b6520e71cc648140b06b6e",
"md5": "0f7ce4e0f928b2638c9d193f68eeac78",
"sha256": "71298d6a1c52baf091a137e4c8c1f14aa3ad130b86a95c1f7c6e7cfd5ff7c407"
},
"downloads": -1,
"filename": "xirescore-1.0.0a13.tar.gz",
"has_sig": false,
"md5_digest": "0f7ce4e0f928b2638c9d193f68eeac78",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.9",
"size": 409566,
"upload_time": "2024-10-05T11:01:48",
"upload_time_iso_8601": "2024-10-05T11:01:48.286344Z",
"url": "https://files.pythonhosted.org/packages/92/d2/cb898fa29e9a7c171c0fd5c4ccc0287d5e3e15b6520e71cc648140b06b6e/xirescore-1.0.0a13.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-10-05 11:01:48",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "Rappsilber-Laboratory",
"github_project": "xiRescore",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "xirescore"
}