How to Install and Uninstall libssw0 Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 09,2024

1. Install "libssw0" package

This tutorial shows how to install libssw0 on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install libssw0

2. Uninstall "libssw0" package

This guide covers the steps necessary to uninstall libssw0 on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove libssw0 $ sudo apt autoclean && sudo apt autoremove

3. Information about the libssw0 package on Ubuntu 21.10 (Impish Indri)

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-en: fast SIMD parallelized implementation of the Smith-Waterman algorithm
SSW is a fast implementation of the Smith-Waterman algorithm, which uses the
Single-Instruction Multiple-Data (SIMD) instructions to parallelize the
algorithm at the instruction level. SSW library provides an API that can be
flexibly used by programs written in C, C++ and other languages. The library
can do protein and genome alignment directly.
Current version of this implementation is ~50 times faster than an ordinary
Smith-Waterman. It can return the Smith-Waterman score, alignment location
and traceback path (cigar) of the optimal alignment accurately; and return
the sub-optimal alignment score and location heuristically.
Description-md5: 0b58f3f88326885dfe15923e841780be