Difference between revisions of "Phycas Home"

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(New version 1.1.2 posted March 13, 2009)
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'''Phycas''' is a Python application for carrying out phylogenetic analyses. Phycas is also a C++ and Python library that can be used to create new applications or to extend the current functionality.
 
'''Phycas''' is a Python application for carrying out phylogenetic analyses. Phycas is also a C++ and Python library that can be used to create new applications or to extend the current functionality.
  
=== New version coming soon... ===
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=== Current version 1.2.0 posted August 9, 2010 ===
  
A new version of Phycas will be posted soon that implements the Stepping Stone and CPO methods discussed at the Evolution 2010 meetings in Portland, Oregon, June 27, 2010. These methods are '''not''' present in version 1.1.2, however.
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Phycas version 1.2.0 can be downloaded for Windows or Mac on the [[Download]] page. (Linux versions are also available but must be compiled from the C++ sources.) New features include support for data partitioning and the generalized stepping stone method for estimating marginal likelihoods.
  
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[[Phycas Development Team]]
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=== Current version 1.1.2 posted March 13, 2009 ===
 
=== Current version 1.1.2 posted March 13, 2009 ===
  
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Phycas version 1.1.2 can be downloaded for Windows or Mac on the [[Download]] page. (Linux versions are available but must be compiled from the C++ sources.)
 
Phycas version 1.1.2 can be downloaded for Windows or Mac on the [[Download]] page. (Linux versions are available but must be compiled from the C++ sources.)
  
[[Phycas Development Team]]
 
 
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=== New version 1.1.1 posted March 12, 2009 ===
 
=== New version 1.1.1 posted March 12, 2009 ===
  

Revision as of 16:06, 9 August 2010

Phycas is a Python application for carrying out phylogenetic analyses. Phycas is also a C++ and Python library that can be used to create new applications or to extend the current functionality.

Current version 1.2.0 posted August 9, 2010

Phycas version 1.2.0 can be downloaded for Windows or Mac on the Download page. (Linux versions are also available but must be compiled from the C++ sources.) New features include support for data partitioning and the generalized stepping stone method for estimating marginal likelihoods.

Phycas Development Team