How to Install and Uninstall iqtree Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: November 23,2024

1. Install "iqtree" package

Please follow the instructions below to install iqtree on Ubuntu 21.04 (Hirsute Hippo)


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

Learn how to uninstall iqtree on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                iqtree
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the iqtree package on Ubuntu 21.04 (Hirsute Hippo)

Package: iqtree
Architecture: amd64
Version: 1.6.12+dfsg-1build1
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 19068
Depends: libc6 (>= 2.29), libgcc-s1 (>= 4.0), libgomp1 (>= 6), libopenmpi3 (>= 4.0.3~rc4), libstdc++6 (>= 9), zlib1g (>= 1:1.1.4)
Filename: pool/universe/i/iqtree/iqtree_1.6.12+dfsg-1build1_amd64.deb
Size: 2813308
MD5sum: d33fc9fd4a787eaadb971243437f5f19
SHA1: 2cc0f84917a5d45cedb1f78e8c2ab723debf61dc
SHA256: d9778d6a8cfc19d64ac861a125cbd4884d4f52d99aad23c39e7eeced47a22f01
SHA512: c19ae9c2919857b09d73fd434e3d89ba443b2532af42bffcce2066771681a2a99b69789c206b06e536eb76141dd107a6f743807863c6fb2369f86ac69af06c6d
Homepage: http://www.cibiv.at/software/iqtree/
Description-en: efficient phylogenetic software by maximum likelihood
IQ-TREE is a very efficient maximum likelihood phylogenetic software
with following key features among others:
.
* A novel fast and effective stochastic algorithm to estimate maximum
likelihood trees. IQ-TREE outperforms both RAxML and PhyML in terms
of likelihood while requiring similar amount of computing time (see
Nguyen et al., 2015)
* An ultrafast bootstrap approximation to assess branch supports (see
Minh et al., 2013).
* A wide range of substitution models for binary, DNA, protein, codon,
and morphological alignments.
* Ultrafast model selection for all data types, 10 to 100 times faster
than jModelTest and ProtTest.
* Finding best partition scheme like PartitionFinder.
* Partitioned models with mixed data types for phylogenomic (multi-
gene) alignments, allowing for separate, proportional, or joint
branch lengths among genes.
* Supporting the phylogenetic likelihod library (PLL) (see Flouri et
al., 2014)
Description-md5: 74d9431c410fc0f02ede82d14c6a3692