How to Install and Uninstall macsyfinder Package on Ubuntu 18.04 LTS (Bionic Beaver)
Last updated: January 31,2025
1. Install "macsyfinder" package
Please follow the guidelines below to install macsyfinder on Ubuntu 18.04 LTS (Bionic Beaver)
$
sudo apt update
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$
sudo apt install
macsyfinder
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2. Uninstall "macsyfinder" package
Here is a brief guide to show you how to uninstall macsyfinder on Ubuntu 18.04 LTS (Bionic Beaver):
$
sudo apt remove
macsyfinder
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the macsyfinder package on Ubuntu 18.04 LTS (Bionic Beaver)
Package: macsyfinder
Architecture: all
Version: 1.0.5-1
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 22335
Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~), hmmer, ncbi-blast+, libjs-jquery, libjs-underscore
Filename: pool/universe/m/macsyfinder/macsyfinder_1.0.5-1_all.deb
Size: 7048380
MD5sum: cddfe6848227284e53d57147ef5e4d7e
SHA1: 81d4deaf1f0851be54a7d50c2f87b49439db1cd6
SHA256: 3487cd512118a39b29058037892f85a0198f528a5317055a530e93366d548504
Homepage: https://github.com/gem-pasteur/macsyfinder
Description: detection of macromolecular systems in protein datasets
Description-md5: 0b9b635e7d46ea6cf9f81df42e76fb60
Architecture: all
Version: 1.0.5-1
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 22335
Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~), hmmer, ncbi-blast+, libjs-jquery, libjs-underscore
Filename: pool/universe/m/macsyfinder/macsyfinder_1.0.5-1_all.deb
Size: 7048380
MD5sum: cddfe6848227284e53d57147ef5e4d7e
SHA1: 81d4deaf1f0851be54a7d50c2f87b49439db1cd6
SHA256: 3487cd512118a39b29058037892f85a0198f528a5317055a530e93366d548504
Homepage: https://github.com/gem-pasteur/macsyfinder
Description: detection of macromolecular systems in protein datasets
Description-md5: 0b9b635e7d46ea6cf9f81df42e76fb60