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

Last updated: November 24,2024

You can also install and uninstall the predictnls 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 "predictnls" package

Please follow the instructions below to install predictnls on Ubuntu 22.04 LTS (Jammy Jellyfish)


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

This tutorial shows how to uninstall predictnls on Ubuntu 22.04 LTS (Jammy Jellyfish):


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

Package: predictnls
Architecture: all
Version: 1.0.20-8
Priority: extra
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 4594
Depends: perl:any, libconfig-inifiles-perl
Filename: pool/universe/p/predictnls/predictnls_1.0.20-8_all.deb
Size: 1435150
MD5sum: e89f9e87c45ef437d7eb759956988c0d
SHA1: 21888507c45b15149d796af2c857cc0442a32262
SHA256: 39ff192befe3ecaef416054e8f477d6c6480c4eb66da88c40be5b03d55ce0b08
SHA512: 717d9cfecedc9bb1dba68bbf2b8475f21e44ed2c12ec1ed99dc2df4bc32365c108e4163d2bd487b7624c0f59c4250ce6392e3272fc4327432406d13465ae8b6b
Homepage: https://rostlab.org/services/predictNLS/
Description: prediction and analysis of protein nuclear localization signals
Description-md5: cde7ecac57e039484021f256614e949f