beamspy


Namebeamspy JSON
Version 1.2.0 PyPI version JSON
download
home_pagehttps://github.com/computational-metabolomics/beamspy
SummaryPutative annotation of metabolites for mass spectrometry-based metabolomics datasets.
upload_time2023-05-16 07:49:11
maintainer
docs_urlNone
authorRalf Weber
requires_python>=3.8
licenseGPLv3
keywords metabolomics mass spectrometry liquid-chromatography mass spectrometry metabolite annotation
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage
            BEAMSpy - Birmingham mEtabolite Annotation for Mass Spectrometry (Python package)
==================================================================================
|Version| |Py versions| |Git| |Bioconda| |Build Status| |License| |RTD doc| |codecov| |mybinder|

BEAMSpy (Birmingham mEtabolite Annotation for Mass Spectrometry) is a Python package that includes several automated and
seamless computational modules that are applied to putatively annotate metabolites detected in untargeted ultra (high)
performance liquid chromatography-mass spectrometry or untargeted direct infusion mass spectrometry metabolomic assays.
All reported metabolites are annotated to level 2 or 3 of the Metabolomics Standards
Initiative (MSI) reporting standards (Metabolomics. 2007 Sep; 3(3): 211–221. `doi: 10.1007/s11306-007-0082-2 <https://doi.org/10.1007/s11306-007-0082-2>`_).
The package is highly flexible to suit the diversity of sample types studied and mass spectrometers applied in
untargeted metabolomics studies. The user can use the standard reference files included in the package or can develop
their own reference files.


- `Documentation (Read the Docs) <https://beamspy.readthedocs.io/en/latest/>`_
- `Bug reports <https://github.com/computational-metabolomics/beamspy/issues>`_


Quick installation
-------------------

Conda_
~~~~~~~

1. Install `Miniconda <https://docs.conda.io/en/latest/miniconda.html>`_. Follow the steps described `here <https://docs.conda.io/projects/conda/en/latest/user-guide/install>`__.
2. Run the following commands to install BEAMSpy.

Windows-64, Linux-64 and OSx

::

    $ conda create -n beamspy beamspy -c conda-forge -c bioconda -c computational-metabolomics
    $ activate beamspy

Linux-64 and OSx

::

    $ conda create -n beamspy beamspy -c conda-forge -c bioconda -c computational-metabolomics
    $ source activate beamspy


Usage
------------------------

Command line interface (CLI)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

::

    $ beamspy --help

Graphical user interface (GUI)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

::

    $ beamspy start-gui


Bug reports
------------------------

Please report any bugs that you find `here <https://github.com/computational-metabolomics/beamspy/issues>`__.
Or fork the repository on `GitHub <https://github.com/computational-metabolomics/beamspy/>`_
and create a pull request (PR). We welcome all contributions, and we will help you to make the PR if you are new to `git <https://guides.github.com/activities/hello-world/>`_.


Credits
-------
 - `Team (University of Birmingham and EMBL-EBI) <https://more.bham.ac.uk/beams/team/>`__

**Code base**
 - Ralf J. M. Weber (r.j.weber@bham.ac.uk) - `University of Birmingham (UK) <https://www.birmingham.ac.uk/staff/profiles/biosciences/weber-ralf.aspx>`__


License
------------------------

Released under the GNU General Public License v3.0 (see `LICENSE <https://github.com/computational-metabolomics/beamspy/blob/master/LICENSE>`_)

.. |Build Status| image:: https://github.com/computational-metabolomics/beamspy/workflows/beamspy/badge.svg
   :target: https://github.com/computational-metabolomics/beamspy/actions

.. |Py versions| image:: https://img.shields.io/pypi/pyversions/beamspy.svg?style=flat&maxAge=3600
   :target: https://pypi.python.org/pypi/beamspy/

.. |Version| image:: https://img.shields.io/pypi/v/beamspy.svg?style=flat&maxAge=3600
   :target: https://pypi.python.org/pypi/beamspy/

.. |Git| image:: https://img.shields.io/badge/repository-GitHub-blue.svg?style=flat&maxAge=3600
   :target: https://github.com/computational-metabolomics/beamspy

.. |Bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat&maxAge=3600
   :target: http://bioconda.github.io/recipes/beamspy/README.html

.. |License| image:: https://img.shields.io/badge/License-GPL%20v3-blue.svg
   :target: https://www.gnu.org/licenses/gpl-3.0.html

.. |RTD doc| image:: https://img.shields.io/badge/documentation-RTD-71B360.svg?style=flat&maxAge=3600
   :target: https://beamspy.readthedocs.io/en/latest/

.. |codecov| image:: https://codecov.io/gh/computational-metabolomics/beamspy/branch/master/graph/badge.svg
   :target: https://codecov.io/gh/computational-metabolomics/beamspy

.. |mybinder| image:: https://mybinder.org/badge_logo.svg
   :target: https://mybinder.org/v2/gh/computational-metabolomics/beamspy/master?filepath=notebooks

.. _pip: https://pip.pypa.io/
.. _Conda: https://conda.io/en/latest/

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/computational-metabolomics/beamspy",
    "name": "beamspy",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.8",
    "maintainer_email": "",
    "keywords": "Metabolomics,Mass spectrometry,Liquid-Chromatography Mass Spectrometry,Metabolite Annotation",
    "author": "Ralf Weber",
    "author_email": "r.j.weber@bham.ac.uk",
    "download_url": "https://files.pythonhosted.org/packages/4d/a6/1233e1a8285a2460c21e6d0131abb150accd5d1efb3af30978254b1d9626/beamspy-1.2.0.tar.gz",
    "platform": "Windows, UNIX",
    "description": "BEAMSpy - Birmingham mEtabolite Annotation for Mass Spectrometry (Python package)\n==================================================================================\n|Version| |Py versions| |Git| |Bioconda| |Build Status| |License| |RTD doc| |codecov| |mybinder|\n\nBEAMSpy (Birmingham mEtabolite Annotation for Mass Spectrometry) is a Python package that includes several automated and\nseamless computational modules that are applied to putatively annotate metabolites detected in untargeted ultra (high)\nperformance liquid chromatography-mass spectrometry or untargeted direct infusion mass spectrometry metabolomic assays.\nAll reported metabolites are annotated to level 2 or 3 of the Metabolomics Standards\nInitiative (MSI) reporting standards (Metabolomics. 2007 Sep; 3(3): 211\u2013221. `doi: 10.1007/s11306-007-0082-2 <https://doi.org/10.1007/s11306-007-0082-2>`_).\nThe package is highly flexible to suit the diversity of sample types studied and mass spectrometers applied in\nuntargeted metabolomics studies. The user can use the standard reference files included in the package or can develop\ntheir own reference files.\n\n\n- `Documentation (Read the Docs) <https://beamspy.readthedocs.io/en/latest/>`_\n- `Bug reports <https://github.com/computational-metabolomics/beamspy/issues>`_\n\n\nQuick installation\n-------------------\n\nConda_\n~~~~~~~\n\n1. Install `Miniconda <https://docs.conda.io/en/latest/miniconda.html>`_. Follow the steps described `here <https://docs.conda.io/projects/conda/en/latest/user-guide/install>`__.\n2. Run the following commands to install BEAMSpy.\n\nWindows-64, Linux-64 and OSx\n\n::\n\n    $ conda create -n beamspy beamspy -c conda-forge -c bioconda -c computational-metabolomics\n    $ activate beamspy\n\nLinux-64 and OSx\n\n::\n\n    $ conda create -n beamspy beamspy -c conda-forge -c bioconda -c computational-metabolomics\n    $ source activate beamspy\n\n\nUsage\n------------------------\n\nCommand line interface (CLI)\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n::\n\n    $ beamspy --help\n\nGraphical user interface (GUI)\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n::\n\n    $ beamspy start-gui\n\n\nBug reports\n------------------------\n\nPlease report any bugs that you find `here <https://github.com/computational-metabolomics/beamspy/issues>`__.\nOr fork the repository on `GitHub <https://github.com/computational-metabolomics/beamspy/>`_\nand create a pull request (PR). We welcome all contributions, and we will help you to make the PR if you are new to `git <https://guides.github.com/activities/hello-world/>`_.\n\n\nCredits\n-------\n - `Team (University of Birmingham and EMBL-EBI) <https://more.bham.ac.uk/beams/team/>`__\n\n**Code base**\n - Ralf J. M. Weber (r.j.weber@bham.ac.uk) - `University of Birmingham (UK) <https://www.birmingham.ac.uk/staff/profiles/biosciences/weber-ralf.aspx>`__\n\n\nLicense\n------------------------\n\nReleased under the GNU General Public License v3.0 (see `LICENSE <https://github.com/computational-metabolomics/beamspy/blob/master/LICENSE>`_)\n\n.. |Build Status| image:: https://github.com/computational-metabolomics/beamspy/workflows/beamspy/badge.svg\n   :target: https://github.com/computational-metabolomics/beamspy/actions\n\n.. |Py versions| image:: https://img.shields.io/pypi/pyversions/beamspy.svg?style=flat&maxAge=3600\n   :target: https://pypi.python.org/pypi/beamspy/\n\n.. |Version| image:: https://img.shields.io/pypi/v/beamspy.svg?style=flat&maxAge=3600\n   :target: https://pypi.python.org/pypi/beamspy/\n\n.. |Git| image:: https://img.shields.io/badge/repository-GitHub-blue.svg?style=flat&maxAge=3600\n   :target: https://github.com/computational-metabolomics/beamspy\n\n.. |Bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat&maxAge=3600\n   :target: http://bioconda.github.io/recipes/beamspy/README.html\n\n.. |License| image:: https://img.shields.io/badge/License-GPL%20v3-blue.svg\n   :target: https://www.gnu.org/licenses/gpl-3.0.html\n\n.. |RTD doc| image:: https://img.shields.io/badge/documentation-RTD-71B360.svg?style=flat&maxAge=3600\n   :target: https://beamspy.readthedocs.io/en/latest/\n\n.. |codecov| image:: https://codecov.io/gh/computational-metabolomics/beamspy/branch/master/graph/badge.svg\n   :target: https://codecov.io/gh/computational-metabolomics/beamspy\n\n.. |mybinder| image:: https://mybinder.org/badge_logo.svg\n   :target: https://mybinder.org/v2/gh/computational-metabolomics/beamspy/master?filepath=notebooks\n\n.. _pip: https://pip.pypa.io/\n.. _Conda: https://conda.io/en/latest/\n",
    "bugtrack_url": null,
    "license": "GPLv3",
    "summary": "Putative annotation of metabolites for mass spectrometry-based metabolomics datasets.",
    "version": "1.2.0",
    "project_urls": {
        "Homepage": "https://github.com/computational-metabolomics/beamspy"
    },
    "split_keywords": [
        "metabolomics",
        "mass spectrometry",
        "liquid-chromatography mass spectrometry",
        "metabolite annotation"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "4da61233e1a8285a2460c21e6d0131abb150accd5d1efb3af30978254b1d9626",
                "md5": "7436cd6ab524d169368a82d09c10d574",
                "sha256": "a8f0f7ea7d2335e9738e752278ab273148092954f7193ef1917495ef622964c9"
            },
            "downloads": -1,
            "filename": "beamspy-1.2.0.tar.gz",
            "has_sig": false,
            "md5_digest": "7436cd6ab524d169368a82d09c10d574",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8",
            "size": 38120889,
            "upload_time": "2023-05-16T07:49:11",
            "upload_time_iso_8601": "2023-05-16T07:49:11.277020Z",
            "url": "https://files.pythonhosted.org/packages/4d/a6/1233e1a8285a2460c21e6d0131abb150accd5d1efb3af30978254b1d9626/beamspy-1.2.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-05-16 07:49:11",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "computational-metabolomics",
    "github_project": "beamspy",
    "travis_ci": false,
    "coveralls": true,
    "github_actions": true,
    "requirements": [],
    "lcname": "beamspy"
}
        
Elapsed time: 0.14744s