Metadata-Version: 1.1
Name: pyteomics
Version: 2.1.4
Summary: A framework for proteomics data analysis.
Home-page: http://hg.theorchromo.ru/pyteomics
Author: Anton Goloborodko & Lev Levitsky
Author-email: pyteomics@googlegroups.com
License: License :: OSI Approved :: Apache Software License
Description: What is Pyteomics?
        ------------------
        
        Pyteomics is a collection of lightweight and handy tools for Python that help
        to handle various sorts of proteomics data. Pyteomics provides a growing set of 
        modules to facilitate the most common tasks in proteomics data analysis, such as:
        
        * calculation of basic physico-chemical properties of polypeptides:
        
          * mass and isotopic distribution
          * charge and pI
          * chromatographic retention time
        
        * access to common proteomics data:
        
          * MS or LC-MS data
          * FASTA databases
          * search engines output
        
        * easy manipulation of sequences of modified peptides and proteins
        
        The goal of the Pyteomics project is to provide a versatile, reliable and
        well-documented set of open tools for the wide proteomics community. 
        One of the project's key features is Python itself, an open source language 
        increasingly popular in scientific programming. The main
        applications of the library are reproducible statistical data analysis and rapid
        software prototyping.
        
        Pyteomics is hosted at the following sites:
            - Python package @ Python Package Index: http://pypi.python.org/pypi/pyteomics
            - project documentation @ python.org:  http://pythonhosted.org/pyteomics
            - source code @ bitbucket: http://hg.theorchromo.ru/pyteomics
            - mailing list @ Google: https://groups.google.com/group/pyteomics
        
        Feedback & Support
        ------------------
        
        Please email to pyteomics@googlegroups.com with any questions about Pyteomics.
        You are welcome to use the BitBucket
        `issue tracker <http://hg.theorchromo.ru/pyteomics/issues>`_
        to report bugs, request features, etc.
        
        Required Python versions
        ------------------------
        
        Pyteomics supports Python 2.7 and Python 3. Python 2.6 and older are not supported.
        
        Project dependencies
        --------------------
        
        Pyteomics uses the following python packages:
        
        - `numpy <http://pypi.python.org/pypi/numpy>`_
        - `matplotlib <http://sourceforge.net/projects/matplotlib/files/matplotlib/>`_ (used by pyteomics.pylab_aux)
        - `lxml <http://pypi.python.org/pypi/lxml/2.3>`_ (used by pyteomics.mzml, pyteomics.pepxml, pyteomics.mzid)
        
        GNU/Linux
        ---------
        
        The preferred way to obtain Pyteomics is via pip Python 
        package manager. The shell code for a freshly installed Ubuntu system::
        
            sudo apt-get install python-setuptools python-dev build-essential
            sudo easy_install pip
            sudo pip install lxml numpy matplotlib pyteomics
        
        Windows
        -------
        
        - Download pre-compiled binary packages for Pyteomics dependencies: 
        
            - `numpy <http://pypi.python.org/pypi/numpy>`_
            - `matplotlib <http://sourceforge.net/projects/matplotlib/files/matplotlib/>`_
            - `lxml <http://pypi.python.org/pypi/lxml/2.3>`_ 
        
        - Download a pre-compiled binary Pyteomics package from the `list <http://pypi.python.org/pypi/pyteomics#downloads>`_.
        
        OR
        
        - If you have Enthought Python Distribution / ActivePython, 
          execute in the command line::
        
              easy_install pip
              pip install lxml numpy matplotlib pyteomics
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.2
Classifier: Topic :: Education
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Software Development :: Libraries
Requires: lxml
Requires: numpy
Requires: matplotlib
