Metadata-Version: 1.1
Name: pyteomics.pepxmltk
Version: 0.3.1
Summary: A utility for creation of pepXML files from Python objects and TandemXML files.
Home-page: http://hg.theorchromo.ru/pyteomics
Author: Mark Ivanov & Lev Levitsky
Author-email: pyteomics@googlegroups.com
License: License :: OSI Approved :: Apache Software License
Description: pyteomics.pepxmltk - a pepXML writer and Tandem2XML converter
        ---------------------------------------------------------------
        
        **pyteomics.pepxmltk** is a module based on the
        [pyteomics](https://pyteomics.readthedocs.io/) package that
        allows creation of
        [pepXML](http://tools.proteomecenter.org/wiki/index.php?title=Formats:pepXML)
        files from Python objects of a certain structure. The structure corresponds to
        tokens generated by the pyteomics TandemXML parser.
        
        This package provides a module that can be used for writing pepXML files
        from your Python code, as well as a command-line script for conversion, merging
        or filtering of X!Tandem files to pepXML. Unlike its analog from Trans-Proteomic
        Pipeline (TPP), the script is capable of handling non-standard enzymes.
        
        The package contains two scripts: **pepxmltk.py** and **runtandem**.
        **pepxmltk.py** does conversion from X!Tandem XML to pepXML, or from pepXML to pepXML, while optionally
        combining multiple files and performing FDR filtering.
        **runtandem** is a CLI wrapper that simplifies the repetitive actions of creating *taxonomy.xml*,
        running X!Tandem, and converting the result to pepXML.
        
        Dependencies
        ------------
        
        - pyteomics
        - numpy
        - lxml
        - jinja2
        
        Links
        -----
        
        - PyPI: https://pypi.org/project/pyteomics.pepxmltk/
        - BitBucket repo & issue tracker: https://bitbucket.org/markmipt/pyteomics.pepxmltk
        - Mailing list: pyteomics@googlegroups.com
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Education
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Software Development :: Libraries
