etetoolkit / ete

Python package for building, comparing, annotating, manipulating and visualising trees. It provides a comprehensive API and a collection of command line tools, including utilities to work with the NCBI taxonomy tree.
http://etetoolkit.org
GNU General Public License v3.0
795 stars 214 forks source link
phylogenetics phylogenomic python tree-structure treeview visualization

Join the chat at https://gitter.im/jhcepas/ete

Overview

ETE (Environment for Tree Exploration) is a toolkit that assists in the automated manipulation, analysis and visualization of trees. It is mainly written in Python, and includes many extra functionalities for phylogenetic trees.

Its main features include:

The official website of ETE is http://etetoolkit.org. You can find downloading instructions and further documentation there.

News and announcements are usually posted on twitter: http://twitter.com/etetoolkit

If you use ETE, please cite:

Jaime Huerta-Cepas, François Serra and Peer Bork. "ETE 3: Reconstruction,
analysis and visualization of phylogenomic data."  Mol Biol Evol (2016) doi:
10.1093/molbev/msw046

Installation

Quick way

pip install https://github.com/etetoolkit/ete/archive/ete4.zip

For local development

To install ETE in a local directory to help with the development, you can:

Optional dependencies

If you want to use the treeview module (which depends on PyQt), you can add [treeview] to the pip installation.

For example with pip install -e .[treeview] for a local editable installation. Or pip install -e .[treeview,test,doc] to also include the modules for testing and generating the documentation.

Exploring a tree

To simply load a tree from a file (my_tree.nw) and start exploring it interactively, you can use the ete4 utility and run:

ete4 explore -t my_tree.nw

Or start a python session and write:

from ete4 import Tree

t = Tree(open('my_tree.nw'))

t.explore()

It will open a browser window with an interface to explore the tree.

Documentation

Most documentation is automatically generated with sphinx from the contents of the doc directory, and is available at https://etetoolkit.github.io/ete/ .

Gallery of examples

Getting support

Rather than sending direct support-related emails to the developers, it is better to keep the communication public.

For question on how to use ETE in the bioinformatics context, use Biostars with the etetoolkit tag, or stack overflow.

For bug reports, feature requests and general discussion, use https://github.com/etetoolkit/ete/issues

For more technical problems, you can also use the official ETE mailing list at https://groups.google.com/d/forum/etetoolkit. To avoid spam, messages from new users are moderated. Expect some delay until your first message appears after your account is validated.

For any other inquiries (collaborations, sponsoring, etc), please contact jhcepas@gmail.com.

Tests

You can launch some tests by running:

./run_tests.py

Contributing and bug reporting

https://github.com/etetoolkit/ete/wiki/Contributing

Roadmap

https://github.com/etetoolkit/ete/wiki/ROADMAP