Metadata-Version: 1.0
Name: DendroPy
Version: 3.10.0
Summary: A Python library for phylogenetics and phylogenetic computing: reading, writing, simulation, processing and manipulation of phylogenetic trees (phylogenies) and characters.
Home-page: http://packages.python.org/DendroPy/
Author: Jeet Sukumaran and Mark T. Holder
Author-email: jeet@ku.edu and mtholder@ku.edu
License: BSD
Description: Introduction
        ============
        
        DendroPy is a Python library for phylogenetic computing.
        It provides classes and functions for the simulation, processing, and manipulation of phylogenetic trees and character matrices, and supports the reading and writing of phylogenetic data in a range of formats, such as NEXUS, NEWICK, NeXML, Phylip, FASTA, etc.
        Application scripts for performing some useful phylogenetic operations, such as data conversion and tree posterior distribution summarization, are also distributed and installed as part of the libary.
        DendroPy can thus function as a stand-alone library for phylogenetics, a component of more complex multi-library phyloinformatic pipelines, or as a scripting "glue" that assembles and drives such pipelines.
        
        The primary home page for DendroPy, with detailed tutorials and documentation, is at:
        
            http://packages.python.org/DendroPy/
        
        Requirements and Installation
        =============================
        
        DendroPy runs under any version of Python 2 from 2.4 upwards (i.e., Python 2.4, 2.5, 2.6, 2.7, etc.). At present, it does not run under Python 3.
        
        If you have `setuptools <http://pypi.python.org/pypi/setuptools>`_ installed, you can install the latest public release of DendroPy directly from the `Python Package Index <http://pypi.python.org/pypi/DendroPy/>`_ by running::
        
            $ sudo easy_install -U dendropy
        
        Alternatively, if you have `pip <http://pypi.python.org/pypi/pip>`_ installed, you can run::
        
            $ sudo pip install dendropy
        
        If you `download the source code archive <http://pypi.python.org/packages/source/D/DendroPy/DendroPy-3.10.0.tar.gz>`_ from the `Python Package Index <http://pypi.python.org/pypi/DendroPy/>`_, you can unarchive it and install it from the local source by running::
        
            $ tar -xvzf DendroPy-3.10.0.tar.gz
            $ cd DendroPy-3.10.0
            $ sudo python setup.py install
        
        Documentation
        =============
        
        A detailed example-rich "cookbook"-style tutorial on using DendroPy can be found here:
        
            http://packages.python.org/DendroPy/tutorial/index.html
        
        While the API reference can be found here:
        
            http://packages.python.org/DendroPy/library/index.html
        
        Source Code Repository
        ======================
        
        The DendroPy source code is version-controlled using `Git <http://git-scm.com/>`_, and the `DendroPy Git repository <http://github.com/jeetsukumaran/DendroPy>`_ can be cloned by running::
        
            $ git clone git://github.com/jeetsukumaran/DendroPy.git
        
        Change History
        ==============
        
        The major changes (new features and bug fixes) in the development history of DendroPy can be found here:
        
            http://packages.python.org/DendroPy/changes.html
        
        More Information
        =================
        More information, including tutorials, library API references, citation, license, etc. can be found on the `DendroPy documentation website <http://packages.python.org/DendroPy/>`_:
        
            http://packages.python.org/DendroPy/
        
        
        Current Release
        ===============
        
        The current release of DendroPy is version 3.10.0 (revision: 6fb2795, None).
        
        
Keywords: phylogenetics phylogeny phylogenies phylogeography evolution evolutionary biology systematics coalescent population genetics phyloinformatics bioinformatics
Platform: UNKNOWN
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
