How to Install and Uninstall garli-examples Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 04,2024

1. Install "garli-examples" package

In this section, we are going to explain the necessary steps to install garli-examples on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                garli-examples
            
                    
    
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2. Uninstall "garli-examples" package

Learn how to uninstall garli-examples on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                garli-examples
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the garli-examples package on Ubuntu 20.10 (Groovy Gorilla)

Package: garli-examples
Architecture: all
Version: 2.1-3build1
Priority: optional
Section: universe/science
Source: garli
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 342
Filename: pool/universe/g/garli/garli-examples_2.1-3build1_all.deb
Size: 205920
MD5sum: df69149d26f4e6c77d6b2a29d38a2ad1
SHA1: c0feb36b2439aa258f83468e71867d415c1411ba
SHA256: c4815d8a0842f9dc05f680a509453282f75a84256e1115dbc3f8282d783e9b1a
SHA512: c1fd116e5744320f1cd0a75774d59b702d18ea674888c602f4ad759b41c80e644c770ed58efa8a28161da876c881794440e87ad44740eb95c88906b16faf1e93
Homepage: https://github.com/Ashod/garli
Description-en: phylogenetic analysis of molecular sequence data (examples)
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.
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This package contains example data for garli.
Description-md5: 0edf68e52e3e7dd1a026db9b6fdb2621