Metadata-Version: 1.1
Name: pyopenms
Version: 2.3.0.2
Summary: Python wrapper for C++ LCMS library OpenMS
Home-page: http://open-ms.de
Author: Uwe Schmitt
Author-email: uschmitt@mineway.de
License: http://opensource.org/licenses/BSD-3-Clause
Description-Content-Type: UNKNOWN
Description: 
        ------------
        Introduction
        ------------
        
        This package contains Python bindings for a large part of the OpenMS library
        (http://www.openms.org) for mass spectrometry based proteomics.  It thus
        provides providing facile access to a feature-rich, open-source algorithm
        library for mass-spectrometry based proteomics analysis. These Python bindings
        allow raw access to the data-structures and algorithms implemented in OpenMS,
        specifically those for file access (mzXML, mzML, TraML, mzIdentML among
        others), basic signal processing (smoothing, filtering, de-isotoping and
        peak-picking) and complex data analysis (including label-free, SILAC, iTRAQ and
        SWATH analysis tools).
        
        The pyOpenMS package runs - like OpenMS - on Windows, Linux and OSX.
        
        -----------
        Publication
        -----------
        
        The pyOpenMS bindings are described in the following publication:
        
          Rost HL, Schmitt U, Aebersold R and Malmstrom L.
          pyOpenMS: a Python-based interface to the OpenMS mass-spectrometry algorithm library.
          Proteomics. 2014 Jan;14(1):74-7. doi: 10.1002/pmic.201300246.
        
        Please also check `the pyOpenMS homepage`_ for updates and links.
        
        ------------
        Installation
        ------------
        
        We provide binary packages for Python 3.4, 3.5 and 3.6 on Windows (64 bit) and
        Linux (64 bit) as well as Python 2.7 for Linux, which makes the installation
        very straightforward with pip.  For other platforms, please refer to the
        compilation instructions.
        
        Binary installation
        ===================
        
        The current binaries require numpy **1.7.x**.  As we distribute the package as
        binary wheels, you should use *pip* for installation::
        
        $ pip install pyopenms
        
        Source installation
        ===================
        
        Please use the `the pyOpenMS homepage`_ for instructions on how to build pyOpenMS yourself.
        
        ---------------------
        Questions and Support
        ---------------------
        
        For questions and feature requests, please use `the OpenMS github page`_ which
        contains a bug tracker, a wiki and describes multiple ways to contact the
        developers.
        
        ------------
        Testing
        ------------
        
        pyOpenMS provides unittests, they are found under ./pyOpenMS/tests/ and can be
        executed using nosetests::
        
            $ python run_nose.py
        
        ------------
        License
        ------------
        
        pyOpenMS is published under the 3-clause BSD licence, see ./pyOpenMS/License.txt
        
        -------------
        Documentation
        -------------
        
        pyOpenMS follows the `OpenMS documentation`_ very closely. Additionally, there is also a `pyOpenMS
        Manual <http://proteomics.ethz.ch/pyOpenMS_Manual.pdf>`_ available. The online
        manual contains a complete record of every wrapped class and function while the
        documentation of the corresponding class or function can be inferred from the
        OpenMS online documentation.
        
        
        
        .. _the pyOpenMS homepage: https://github.com/OpenMS/OpenMS/wiki/pyOpenMS
        .. _the OpenMS documentation: http://ftp.mi.fu-berlin.de/pub/OpenMS/release-documentation/html/index.html
        .. _the OpenMS github page: https://github.com/OpenMS/OpenMS/
        
        
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Chemistry
