How to Install and Uninstall libgclib-dev Package on Ubuntu 20.10 (Groovy Gorilla)
Last updated: November 22,2024
1. Install "libgclib-dev" package
Please follow the step by step instructions below to install libgclib-dev on Ubuntu 20.10 (Groovy Gorilla)
$
sudo apt update
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$
sudo apt install
libgclib-dev
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2. Uninstall "libgclib-dev" package
Please follow the step by step instructions below to uninstall libgclib-dev on Ubuntu 20.10 (Groovy Gorilla):
$
sudo apt remove
libgclib-dev
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libgclib-dev package on Ubuntu 20.10 (Groovy Gorilla)
Package: libgclib-dev
Architecture: amd64
Version: 0.11.8-1
Multi-Arch: same
Priority: optional
Section: universe/libdevel
Source: libgclib
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 353
Depends: libgclib1 (= 0.11.8-1)
Filename: pool/universe/libg/libgclib/libgclib-dev_0.11.8-1_amd64.deb
Size: 79372
MD5sum: 5ed8cec021a851540cc4a70981725c98
SHA1: 0cc0e83e46b7afe82fe1e5590e072362773ed27a
SHA256: 80924d22811b5f3d317783e255dd611a94747af685819acb310947986ef98d30
SHA512: 0852a35b5a5b94e24d888e7a4ac381fc23c93ba3682a1ce94b9ddfc7981272500c737a7c6db5e1cf9d07c87bd6f89f48c6e6ed7824f98cba35692cd9a0eccfe2
Homepage: https://github.com/gpertea/gclib
Description-en: header files for Genome Code Lib (GCLib)
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.
.
Header files of Genome Code Lib. It is mainly known for being
used by StringTie but with its own release cycle.
Description-md5: 9e6c6f2bb41b72b6ec6259d6e96c5a26
Architecture: amd64
Version: 0.11.8-1
Multi-Arch: same
Priority: optional
Section: universe/libdevel
Source: libgclib
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 353
Depends: libgclib1 (= 0.11.8-1)
Filename: pool/universe/libg/libgclib/libgclib-dev_0.11.8-1_amd64.deb
Size: 79372
MD5sum: 5ed8cec021a851540cc4a70981725c98
SHA1: 0cc0e83e46b7afe82fe1e5590e072362773ed27a
SHA256: 80924d22811b5f3d317783e255dd611a94747af685819acb310947986ef98d30
SHA512: 0852a35b5a5b94e24d888e7a4ac381fc23c93ba3682a1ce94b9ddfc7981272500c737a7c6db5e1cf9d07c87bd6f89f48c6e6ed7824f98cba35692cd9a0eccfe2
Homepage: https://github.com/gpertea/gclib
Description-en: header files for Genome Code Lib (GCLib)
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.
.
Header files of Genome Code Lib. It is mainly known for being
used by StringTie but with its own release cycle.
Description-md5: 9e6c6f2bb41b72b6ec6259d6e96c5a26