A Python library for phylogenetics and phylogenetic computing: reading, writing, simulation, processing and manipulation of phylogenetic trees (phylogenies) and characters.
Project description
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:
DendroPy is also hosted in the official Python repository:
Requirements and Installation
DendroPy 4.x runs under Python 3 (all versions > 3.1) and Python 2 (Python 2.7 only).
You can install DendroPy by running:
$ sudo pip install dendropy
More information is available here:
Documentation
Full documentation is available here:
This includes:
and more.
Testing
Tests can be run by typing:
$ python -m dendropy.test
By default, all tests are run. You can run specific by providing the fully-qualified name of the modules, test cases, or specific test methods to run, e.g.:
$ python -m dendropy.test test_tokenizer $ python -m dendropy.test test_tokenizer.TestCase $ python -m dendropy.test test_tokenizer.TestCase.test1 $ python -m dendropy.test test_tokenizer test_datamodel_taxon
Or special pre-defined sub-groups of tests, e.g.:
$ python -m dendropy.test @datamodel $ python -m dendropy.test @dataio $ python -m dendropy.test @datamodel @newick
A list of all available sub-groups can be seen by:
$ python -m dendropy.test --help-testgroups
For any tests run, you can set the level at which the test progress is logged by:
$ python -m dendropy.test -l DEBUG all
For all options, type:
$ python -m dendropy.test --help
Current Release
The current release of DendroPy is version 4.0.0 (master-cf05c0c, 2015-06-04 17:10:31).
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