How to Install and Uninstall profnet-chop Package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Last updated: May 02,2024

You can also install and uninstall the profnet-chop 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 "profnet-chop" package

Learn how to install profnet-chop on Ubuntu 22.04 LTS (Jammy Jellyfish)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                profnet-chop
            
                    
    
    Copied

2. Uninstall "profnet-chop" package

Please follow the step by step instructions below to uninstall profnet-chop on Ubuntu 22.04 LTS (Jammy Jellyfish):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                profnet-chop
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the profnet-chop package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Package: profnet-chop
Architecture: amd64
Version: 1.0.22-8
Priority: extra
Section: universe/science
Source: profnet
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 443
Depends: libc6 (>= 2.34), libgfortran5 (>= 8)
Suggests: profchop
Filename: pool/universe/p/profnet/profnet-chop_1.0.22-8_amd64.deb
Size: 99060
MD5sum: 8fe4dc4b43fd0967703bf286ddf3a95e
SHA1: 824af2a54d34e9fec0c162b92a06ca51309f5467
SHA256: f21e02651beb5592c5b607a9e2c3c26be6bc07f62c7d38546470579109a485d7
SHA512: c9d2a51a4ca6639cb24a115ea3727153faa33dff22880eda11c697b1e6876370ab636e250433d123d74db813e049dcd7c106b2ad4f4a4a02c134a42ec3bed2f9
Homepage: https://www.predictprotein.org/
Description: neural network architecture for profchop
Description-md5: 2f10f2fb15d6295aea161c4880bfc4e4