Commit 6aa511ac authored by Andreas Tille's avatar Andreas Tille
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New upstream version 3.1.1+dfsg

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Metadata-Version: 1.1
Name: ete3
Version: 3.0.0b35
Version: 3.1.1
Summary: A Python Environment for (phylogenetic) Tree Exploration
Home-page: http://etetoolkit.org
Author: Jaime Huerta-Cepas
Author-email: huerta@embl.de
License: GPLv3
Download-URL: http://etetoolkit.org/static/releases/ete3/
Description-Content-Type: UNKNOWN
Description: 
        The Environment for Tree Exploration (ETE) is a Python programming
        toolkit that assists in the recontruction, manipulation, analysis and
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README
=======

.. image:: https://travis-ci.org/etetoolkit/ete.svg?branch=master
   :target: https://travis-ci.org/etetoolkit/ete

@@ -11,11 +8,13 @@ README
..
   .. image:: https://coveralls.io/repos/jhcepas/ete/badge.png

Overview
-----------

ETE (Environment for Tree Exploration is a Python programming
toolkit that assists in the automated manipulation, analysis and
visualization of phylogenetic trees. Clustering trees or any
other tree-like data structure are also supported. 
ETE (Environment for Tree Exploration is a Python programming toolkit that
assists in the automated manipulation, analysis and visualization of
phylogenetic trees. Clustering trees or any other tree-like data structure are
also supported.

ETE is currently developed as a tool for researchers working in phylogenetics
and genomics. ETE provides specialized tools to reconstruct, compare and visualize
@@ -27,13 +26,14 @@ phylogenetic trees. If you use ETE for a published work, please cite:
   analysis and visualization of phylogenomic data."  Mol Biol Evol (2016) doi:
   10.1093/molbev/msw046

Install/Documentation
Install and Documentation
-----------------------------

- The official web site of ETE is http://etetoolkit.org. Downloading
  instructions and further documentation can be found there.

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

Gallery of examples
--------------------
@@ -41,23 +41,31 @@ Gallery of examples
.. image:: https://raw.githubusercontent.com/jhcepas/ete/master/sdoc/gallery.png
   :width: 600
  
Getting Support
------------------
**Whenerver possible, please avoid sending support related emails directly to
the developers. Keep communication public:**

Contributing and BUG reporting
---------------------------------
https://github.com/jhcepas/ete/blob/master/CONTRIBUTING.rst
- For any type of question on how to use ETE in a bioinformatics context, the
  BioStars community (http://biostars.org) provides an excellent help desk. ETE
  developers contribute there with answers, but you will also get feedback from
  other users. It is recommended to tag your questions with the "etetoolkit"
  label.

- For technical problems or more ETE specific questions, 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 and account is validated.

Getting support
------------------
- Bug reports, feature requests and general discussion should be posted into github:
  https://github.com/etetoolkit/ete/issues

- There is a mailing list providing user support at
  https://groups.google.com/d/forum/etetoolkit. In order to avoid spam,
  messages from new users are moderated. Expect some delay until your first
  message and account is validated.
- For any other inquire please contact *huerta /at/ embl.de*
   

Contributing and BUG reporting
---------------------------------
https://github.com/etetoolkit/ete/wiki/Contributing
  
- For general questions on how to use ETE in bioinformatic projects, the
  BioStars community (http://biostars.org) provides an excellent and broader
  help desk. Please feel free to raise any question there and tag it with the
  "etetoolkit" label.

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@@ -314,6 +314,8 @@ The most usual comparison, and perhaps the most robust, is the comparison of mod

Each sites model, contains a dictionary 'model.sites' in which are stored the results of CodeML. These are displayed through the histface, but they are still accessible by digging a bit. 'site' dictionary usually contains the result of the NEB and BEB analysis (prefer the BEB when available). For each of BEB and NEB, the probability of belonging from one category of site is summarized by 'p0', 'p1' and 'p2' in the case of M2 model that have only 3 class of sites (p0, the probability of belonging to the first class of sites with :math:`\omega < 1`; p1, the probability of belonging to the second class of sites with :math:`\omega = 1`; p2, the probability of belonging to the third class of sites with :math:`\omega > 1`). *For details on the models and outputs, it is recommended to read PAML documentation.*

*Note that M1 and M2 models are making reference to the new versions of these models, with continuous omega rates (namely M1a and M2a in the PAML user guide).*


Test on branches
------------------
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