How to Install and Uninstall libgclib2 Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 07,2024

1. Install "libgclib2" package

In this section, we are going to explain the necessary steps to install libgclib2 on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libgclib2
            
                    
    
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2. Uninstall "libgclib2" package

Please follow the guidance below to uninstall libgclib2 on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libgclib2
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libgclib2 package on Ubuntu 21.10 (Impish Indri)

Package: libgclib2
Architecture: amd64
Version: 0.11.10+ds-2
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: libgclib
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 383
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 5)
Filename: pool/universe/libg/libgclib/libgclib2_0.11.10+ds-2_amd64.deb
Size: 144712
MD5sum: 36d9a9539fe74c9e37e9ebb7e66fabad
SHA1: 5bb966d59f85240c84ba650d25a100449ead8115
SHA256: 93dd80230844c8b88c92ed836ee808a2c941707214d733d72704f9f0d1f1b7b0
SHA512: 71fc4549d0f54d9e33e0404a4f25e07cd267d68dffac7ae47b597377902f414cc1fb0cc04b8cc12bbec2f691e7d64a5f34dfbe416417b25583a813a9b9972333
Homepage: https://github.com/gpertea/gclib
Description-en: C++ library to handle biological short sequence data
This is an eclectic gathering of (mostly) C++ code which upstream used
for some bioinformatics projects. The main idea is to provide
lean code and efficient data structures, trying to avoid too many code
dependencies of heavy libraries while minimizing production cycles (and
this also implies a decent compile/build time -- looking at you,
bloated configure scripts and lengthy compile times of Boost code or
other heavy C++ template code..).
.
This code was gathered even before the C++ STL had been fully adopted as
a cross-platform "standard". Since STL by itself is a bit heavier for
most of the C++ needs, it is preferred to use simpler&leaner C++ classes
or templates for basic strings, containers, basic algorithms etc.
Description-md5: 9c72ef489798045bcaeb2c7757b107f6