How to Install and Uninstall python-pyfaidx-examples Package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Last updated: May 05,2024

You can also install and uninstall the python-pyfaidx-examples 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 "python-pyfaidx-examples" package

Please follow the instructions below to install python-pyfaidx-examples on Ubuntu 22.04 LTS (Jammy Jellyfish)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python-pyfaidx-examples
            
                    
    
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2. Uninstall "python-pyfaidx-examples" package

This is a short guide on how to uninstall python-pyfaidx-examples on Ubuntu 22.04 LTS (Jammy Jellyfish):


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

Package: python-pyfaidx-examples
Architecture: all
Version: 0.6.4-1
Multi-Arch: foreign
Priority: optional
Section: universe/python
Source: python-pyfaidx
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 288
Suggests: python3-pyfaidx
Filename: pool/universe/p/python-pyfaidx/python-pyfaidx-examples_0.6.4-1_all.deb
Size: 51884
MD5sum: 58061fd7662949fbfad97821fdb909a8
SHA1: d0eb3a08291436358d9e1025d4c25216620e506f
SHA256: 05aeefe58941de7ea5b91c4cb48dac03702d3f594fca5e0bf9f19d879500d159
SHA512: 12ed3debfbd8d3f36e2d820a0c8f3acac60c3dcb9da40c40a8465e3606bc1d6413da417fcc772787f78be513c2d811ec1a4aecfbaaec75c954ccb7152e9a8b87
Homepage: https://github.com/mdshw5/pyfaidx
Description: example data for efficient random access to fasta subsequences for Python
Description-md5: 31f9e3789b2b4494beee58b7d1274d0a