How to Install and Uninstall sumtrees Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 18,2024

1. Install "sumtrees" package

This guide let you learn how to install sumtrees on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                sumtrees
            
                    
    
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2. Uninstall "sumtrees" package

Here is a brief guide to show you how to uninstall sumtrees on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                sumtrees
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the sumtrees package on Ubuntu 20.10 (Groovy Gorilla)

Package: sumtrees
Architecture: all
Version: 4.4.0-2
Priority: optional
Section: universe/python
Source: python-dendropy
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1871
Depends: python3:any, python3-dendropy
Filename: pool/universe/p/python-dendropy/sumtrees_4.4.0-2_all.deb
Size: 179536
MD5sum: 1dab3fbc71415bc3c989517669c636f6
SHA1: 5be116be860a04e2639db45602993ba7040b4a23
SHA256: 2c9a95c88148c3bf95c5be96d5f0860259d71aa0c96f5652bfdc13a4034a716a
SHA512: 57c562095db165ba632f74d91be3e6d7b28c166f157bfd3510e0c1c3b8a17f9a111261c8d43d1987f0c2f8264396c539eb6969634c28bd5b61ffab63596d8ba9
Homepage: https://dendropy.org/
Description-en: Phylogenetic Tree Summarization and Annotation
SumTrees is a program to summarize non-parameteric bootstrap or
Bayesian posterior probability support for splits or clades on
phylogenetic trees.
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The basis of the support assessment is typically given by a set of
non-parametric bootstrap replicate tree samples produced by programs
such as GARLI or RAxML, or by a set of MCMC tree samples produced by
programs such as Mr. Bayes or BEAST. The proportion of trees out of the
samples in which a particular split is found is taken to be the degree
of support for that split as indicated by the samples. The samples that
are the basis of the support can be distributed across multiple files,
and a burn-in option allows for an initial number of trees in each file
to be excluded from the analysis if they are not considered to be drawn
from the true support distribution.
Description-md5: 4964129447ebcba981d0887bca14317e