How to Install and Uninstall libssw0 Package on Ubuntu 24.04 LTS (Noble Numbat)

Last updated: May 15,2024

1. Install "libssw0" package

Here is a brief guide to show you how to install libssw0 on Ubuntu 24.04 LTS (Noble Numbat)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                libssw0
            
                    
    
    Copied

2. Uninstall "libssw0" package

In this section, we are going to explain the necessary steps to uninstall libssw0 on Ubuntu 24.04 LTS (Noble Numbat):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                libssw0
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libssw0 package on Ubuntu 24.04 LTS (Noble Numbat)

Package: libssw0
Architecture: amd64
Version: 1.1-14
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: 60
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 11), zlib1g
Filename: pool/universe/libs/libssw/libssw0_1.1-14_amd64.deb
Size: 22104
MD5sum: 830f32756a50576d19a92c3917291c00
SHA1: 97564b67454f13d70b6fb35dae166b261a584b5c
SHA256: 6f4cd52009c2f3a8ca8e34283c8927539d341ec785817dc39b580456b04ffb68
SHA512: 6c4ffa2f36c93dcb0da489dcf767aac9f7afb7b2c19648c8bc3870a9a889d78d3625d64845761de9b46773bdce0ff6489e8985b0712e5d640e006436ea889e87
Homepage: https://github.com/mengyao/Complete-Striped-Smith-Waterman-Library
Description: fast SIMD parallelized implementation of the Smith-Waterman algorithm
Description-md5: 0b58f3f88326885dfe15923e841780be