How to Install and Uninstall libssw0 Package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Last updated: November 25,2024

You can also install and uninstall the libssw0 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 "libssw0" package

In this section, we are going to explain the necessary steps to install libssw0 on Ubuntu 22.04 LTS (Jammy Jellyfish)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libssw0
            
                    
    
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2. Uninstall "libssw0" package

Please follow the instructions below to uninstall libssw0 on Ubuntu 22.04 LTS (Jammy Jellyfish):


    
        
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                sudo apt remove
            
                        
                libssw0
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libssw0 package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Package: libssw0
Architecture: amd64
Version: 1.1-13
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: libssw
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 56
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2), zlib1g
Filename: pool/universe/libs/libssw/libssw0_1.1-13_amd64.deb
Size: 19060
MD5sum: 4c14f42ce4a7850a08a038654979da13
SHA1: 7d26479397f69e5aedd522384d1b8ad99e90aedb
SHA256: a558a9976cacea52a83d46c72c8c9834af7179eb3812fc34685e7913c51a91f8
SHA512: 7abc725e21014a87249913ef91f44c09c26485bca886e2f1556860ac4cc7665b07080a87824b2f8dbd5a741adac534be606390eb202c91206e221d2fbabe2b4b
Homepage: https://github.com/mengyao/Complete-Striped-Smith-Waterman-Library
Description: fast SIMD parallelized implementation of the Smith-Waterman algorithm
Description-md5: 0b58f3f88326885dfe15923e841780be