GARLI, Genetic Algorithm for Rapid Likelihood Inference is a program for inferring phylogenetic trees. Using an approach similar to a classical genetic algorithm, it rapidly searches the space of evolutionary trees and model parameters to find the solution maximizing the likelihood score. It implements nucleotide, amino acid and codon-based models of sequence evolution, and runs on all platforms. The latest version adds support for partitioned models and morphology-like datatypes. It is written and maintained by Derrick Zwickl.

Garli Version 2.0 has been released! (April 2011). Get it on the Downloads page.

GARLI 2.0 is first "official" release including partitioned models. It is a merging of official release 1.0 and beta version GARLI-PART 0.97. Version 2.0 should replace earlier versions, and should be backwards compatible with all configuration files and datasets that were used with either Version 1.0 or GARLI-PART 0.97.

Documentation of features specific to Version 2.0 is currently being worked on, and will appear on the support wiki.

There are several resources available for learning about GARLI and getting support:

• You can learn more about using GARLI at the Support Wiki

• Documentation related to partitioned models is still being updated, but much is available here: Partitioned_Usage

• To be notified about GARLI updates and other important GARLI information, join the garli_announce Google Group.

• To be involved in discussions about general GARLI usage and support questions, visit or join the garli_users Google Group.

• If you have questions or problems with GARLI, you may also email: garli.support(at)gmail(dot)com