How to Install and Uninstall libssw0 Package on Ubuntu 20.04 LTS (Focal Fossa)
Last updated: November 22,2024
1. Install "libssw0" package
In this section, we are going to explain the necessary steps to install libssw0 on Ubuntu 20.04 LTS (Focal Fossa)
$
sudo apt update
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$
sudo apt install
libssw0
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2. Uninstall "libssw0" package
This guide covers the steps necessary to uninstall libssw0 on Ubuntu 20.04 LTS (Focal Fossa):
$
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 20.04 LTS (Focal Fossa)
Package: libssw0
Architecture: amd64
Version: 1.1-9
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_1.1-9_amd64.deb
Size: 18908
MD5sum: cf4c17f08cada63b39252403ddf5f259
SHA1: 0e192c7df0decb54d524f74059c9ab74f890d9a5
SHA256: b3524fac66a435859db5b360a00dcb341259edd09ea3a34b887456fffb9fc784
Homepage: https://github.com/mengyao/Complete-Striped-Smith-Waterman-Library
Description: fast SIMD parallelized implementation of the Smith-Waterman algorithm
Description-md5: 0b58f3f88326885dfe15923e841780be
Architecture: amd64
Version: 1.1-9
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_1.1-9_amd64.deb
Size: 18908
MD5sum: cf4c17f08cada63b39252403ddf5f259
SHA1: 0e192c7df0decb54d524f74059c9ab74f890d9a5
SHA256: b3524fac66a435859db5b360a00dcb341259edd09ea3a34b887456fffb9fc784
Homepage: https://github.com/mengyao/Complete-Striped-Smith-Waterman-Library
Description: fast SIMD parallelized implementation of the Smith-Waterman algorithm
Description-md5: 0b58f3f88326885dfe15923e841780be