How to Install and Uninstall libpwiz3 Package on Ubuntu 21.04 (Hirsute Hippo)
Last updated: November 22,2024
1. Install "libpwiz3" package
In this section, we are going to explain the necessary steps to install libpwiz3 on Ubuntu 21.04 (Hirsute Hippo)
$
sudo apt update
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$
sudo apt install
libpwiz3
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2. Uninstall "libpwiz3" package
Learn how to uninstall libpwiz3 on Ubuntu 21.04 (Hirsute Hippo):
$
sudo apt remove
libpwiz3
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libpwiz3 package on Ubuntu 21.04 (Hirsute Hippo)
Package: libpwiz3
Architecture: amd64
Version: 3.0.18342-4build1
Priority: extra
Section: universe/libs
Source: libpwiz
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: The Debichem Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 12016
Depends: libboost-chrono1.74.0 (>= 1.74.0), libboost-filesystem1.74.0 (>= 1.74.0), libboost-iostreams1.74.0 (>= 1.74.0), libboost-program-options1.74.0 (>= 1.74.0), libboost-serialization1.74.0 (>= 1.74.0), libboost-thread1.74.0 (>= 1.74.0), libc6 (>= 2.29), libgcc-s1 (>= 4.0), libstdc++6 (>= 9)
Suggests: libpwiz-doc
Filename: pool/universe/libp/libpwiz/libpwiz3_3.0.18342-4build1_amd64.deb
Size: 3037632
MD5sum: 1a25ce27763b9e8451603a2fd19786ad
SHA1: 43597a13e9ab8f1dc6d2adc9a4bedcad20f60017
SHA256: 4cd62b10e0c9de7652953d4381609e8acb821652f38f92b77774dba75e00727e
SHA512: 553f56e42f88856a4cfaf27e3ce84d68e3387e6e3920e5e3af69a607a9c1713f583a3682d7a846aab89c6a650242871a36e9743cafa63128bea7ebac11e0d4a9
Homepage: http://proteowizard.sourceforge.net/downloads.shtml
Description-en: library to perform proteomics data analyses (runtime)
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.
Description-md5: ed040acf1f8dfea90ff2b4dd850eda23
Architecture: amd64
Version: 3.0.18342-4build1
Priority: extra
Section: universe/libs
Source: libpwiz
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: The Debichem Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 12016
Depends: libboost-chrono1.74.0 (>= 1.74.0), libboost-filesystem1.74.0 (>= 1.74.0), libboost-iostreams1.74.0 (>= 1.74.0), libboost-program-options1.74.0 (>= 1.74.0), libboost-serialization1.74.0 (>= 1.74.0), libboost-thread1.74.0 (>= 1.74.0), libc6 (>= 2.29), libgcc-s1 (>= 4.0), libstdc++6 (>= 9)
Suggests: libpwiz-doc
Filename: pool/universe/libp/libpwiz/libpwiz3_3.0.18342-4build1_amd64.deb
Size: 3037632
MD5sum: 1a25ce27763b9e8451603a2fd19786ad
SHA1: 43597a13e9ab8f1dc6d2adc9a4bedcad20f60017
SHA256: 4cd62b10e0c9de7652953d4381609e8acb821652f38f92b77774dba75e00727e
SHA512: 553f56e42f88856a4cfaf27e3ce84d68e3387e6e3920e5e3af69a607a9c1713f583a3682d7a846aab89c6a650242871a36e9743cafa63128bea7ebac11e0d4a9
Homepage: http://proteowizard.sourceforge.net/downloads.shtml
Description-en: library to perform proteomics data analyses (runtime)
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.
Description-md5: ed040acf1f8dfea90ff2b4dd850eda23