How to Install and Uninstall libpwiz-tools Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 04,2024

1. Install "libpwiz-tools" package

This is a short guide on how to install libpwiz-tools on Ubuntu 21.04 (Hirsute Hippo)

$ sudo apt update $ sudo apt install libpwiz-tools

2. Uninstall "libpwiz-tools" package

Please follow the step by step instructions below to uninstall libpwiz-tools on Ubuntu 21.04 (Hirsute Hippo):

$ sudo apt remove libpwiz-tools $ sudo apt autoclean && sudo apt autoremove

3. Information about the libpwiz-tools package on Ubuntu 21.04 (Hirsute Hippo)

Package: libpwiz-tools
Architecture: amd64
Version: 3.0.18342-4build1
Priority: extra
Section: universe/science
Source: libpwiz
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: The Debichem Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 511
Depends: libboost-filesystem1.74.0 (>= 1.74.0), libboost-program-options1.74.0 (>= 1.74.0), libc6 (>= 2.14), libgcc-s1 (>= 3.0), libpwiz3 (= 3.0.18342-4build1), libstdc++6 (>= 9)
Suggests: libpwiz-doc
Filename: pool/universe/libp/libpwiz/libpwiz-tools_3.0.18342-4build1_amd64.deb
Size: 118676
MD5sum: c3905eca06b98a7a2a96cd3476f677bf
SHA1: af72e7258223e9be0855ffdbae5e8df774e32f19
SHA256: 58d225702a2d3237e2c276694d265f51f72f5f57c595be439378509b32c089ae
SHA512: 830d799dafaff0a0c0626a521e9f96d1691a0bfab1f6bb6c759cca4c01bc76794e1b839da02924e4beda8bd6b8a50a7bd04d9f5cea95e6a9af1d6ab2dc34a589
Homepage: http://proteowizard.sourceforge.net/downloads.shtml
Description-en: ProteoWizard command line tools
The libpwiz library from the ProteoWizard project provides a modular
and extensible set of open-source, cross-platform tools and
libraries. The tools perform proteomics data analyses; the libraries
enable rapid tool creation by providing a robust, pluggable
development framework that simplifies and unifies data file access,
and performs standard chemistry and LCMS dataset computations.
.
The primary goal of ProteoWizard is to eliminate the existing
barriers to proteomic software development so that researchers can
focus on the development of new analytic approaches, rather than
having to dedicate significant resources to mundane (if important)
tasks, like reading data files.
.
This package ships command line tools that include _idconvert_
(conversion of MS identifications) and _msconvert_ (conversion of MS
raw data files from/to any supported format).
Description-md5: 27877a23421affb754c25f7153331f24