How to Install and Uninstall sepp Package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Last updated: November 26,2024

You can also install and uninstall the sepp on the following distributions in the same way, as they are all based on the Ubuntu system

Kubuntu 22.04 LTS
Lubuntu 22.04 LTS
Xubuntu 22.04 LTS
Ubuntu MATE 22.04 LTS
Ubuntu Studio 22.04 LTS
Pop!_OS 22.04 LTS
Zorin OS 16 / Zorin OS 17
Ubuntu Budgie 22.04

1. Install "sepp" package

Please follow the guidance below to install sepp on Ubuntu 22.04 LTS (Jammy Jellyfish)


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

Here is a brief guide to show you how to uninstall sepp on Ubuntu 22.04 LTS (Jammy Jellyfish):


    
        
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                sudo apt remove
            
                        
                sepp
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the sepp package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Package: sepp
Architecture: amd64
Version: 4.5.1+really4.5.1+dfsg-3
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: 391
Depends: python3-dendropy, python3:any, default-jre, hmmer, pplacer, libjenkins-json-java, libgoogle-gson-java, libjson-java, ncbi-blast+
Filename: pool/universe/s/sepp/sepp_4.5.1+really4.5.1+dfsg-3_amd64.deb
Size: 161852
MD5sum: b7e44f852f2867a88e6a4576f75f3bd3
SHA1: 9c1066b377af1984e17a9839d47256f9032e9c9f
SHA256: bc24f135be15e19e388683b22e54ac0214d17e5341ec3c0e47fd2240a13d0d0d
SHA512: 4b90ae75ac7909030bb396dc532fa3a304aff9bd921e3aa50aed10527f448d808905523bcdf24fa6427e6246a49ab0d5e0ac9369175d28ce4366337fc9e44ccf
Homepage: https://github.com/smirarab/sepp/
Description: phylogeny with ensembles of Hidden Markov Models
Description-md5: ee8cff3bcce79567ca21f881eed92802