Metadata-Version: 1.0
Name: pyteomics
Version: 1.0.0
Summary: A framework for proteomics data analysis.
Home-page: http://hg.theorchromo.ru/pyteomics
Author: Anton Goloborodko & Lev Levitskiy
Author-email: goloborodko.anton@gmail.com
License: License :: OSI Approved :: MIT 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, a 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://packages.python.org/pyteomics
            - source code @ bitbucket: http://hg.theorchromo.ru/pyteomics
            - mailing list @ Google: https://groups.google.com/group/pyteomics
        
        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)
        
        GNU/Linux
        ---------
        
        The preferred way to obtain pyteomics.biolccc 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 below.
        
            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: Topic :: Education
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Software Development :: Libraries
