Metadata-Version: 2.1
Name: beamspy
Version: 1.1.0
Summary: Putative annotation of metabolites for mass spectrometry-based metabolomics datasets.
Home-page: https://github.com/computational-metabolomics/beamspy
Author: Ralf Weber
Author-email: r.j.weber@bham.ac.uk
License: GPLv3
Description: BEAMSpy - Birmingham mEtabolite Annotation for Mass Spectrometry (Python package)
        ==================================================================================
        |Version| |Py versions| |Git| |Bioconda| |Build Status| |Build Status (AppVeyor)| |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
        
        .. |Build Status (AppVeyor)| image:: https://img.shields.io/appveyor/ci/RJMW/beamspy.svg?style=flat&maxAge=3600&label=AppVeyor
           :target: https://ci.appveyor.com/project/RJMW/beamspy
        
        .. |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/
        
Keywords: Metabolomics,Mass spectrometry,Liquid-Chromatography Mass Spectrometry,Metabolite Annotation
Platform: Windows, UNIX
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Utilities
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
