How to Install and Uninstall swarm Package on Ubuntu 24.04 LTS (Noble Numbat)
Last updated: December 25,2024
1. Install "swarm" package
Please follow the guidance below to install swarm on Ubuntu 24.04 LTS (Noble Numbat)
$
sudo apt update
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$
sudo apt install
swarm
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2. Uninstall "swarm" package
This is a short guide on how to uninstall swarm on Ubuntu 24.04 LTS (Noble Numbat):
$
sudo apt remove
swarm
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the swarm package on Ubuntu 24.04 LTS (Noble Numbat)
Package: swarm
Architecture: amd64
Version: 3.1.4+dfsg-1
Priority: optional
Section: universe/science
Source: swarm-cluster
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 759
Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 13.1)
Recommends: python3
Filename: pool/universe/s/swarm-cluster/swarm_3.1.4+dfsg-1_amd64.deb
Size: 637788
MD5sum: 82f276cb1292a459021607bb7d2e358f
SHA1: 650cf7d3d064ee1405254c122ec406b864d79831
SHA256: 5b06c157655c74c86a8b43a296130fcb3924d02111e178b1e1ea0863dae21ddd
SHA512: 8666886c62d489b5ab1a1755ab4626395bf6ee88b22a0c2cd5a005f2bee2f7289aca09ef44c3c05488cf543678b5f13a8683265fdc26d54b1424bebe5911e32a
Homepage: https://github.com/torognes/swarm
Description: robust and fast clustering method for amplicon-based studies
Description-md5: 20655f5d65101df022fdc3f06e912b67
Architecture: amd64
Version: 3.1.4+dfsg-1
Priority: optional
Section: universe/science
Source: swarm-cluster
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 759
Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 13.1)
Recommends: python3
Filename: pool/universe/s/swarm-cluster/swarm_3.1.4+dfsg-1_amd64.deb
Size: 637788
MD5sum: 82f276cb1292a459021607bb7d2e358f
SHA1: 650cf7d3d064ee1405254c122ec406b864d79831
SHA256: 5b06c157655c74c86a8b43a296130fcb3924d02111e178b1e1ea0863dae21ddd
SHA512: 8666886c62d489b5ab1a1755ab4626395bf6ee88b22a0c2cd5a005f2bee2f7289aca09ef44c3c05488cf543678b5f13a8683265fdc26d54b1424bebe5911e32a
Homepage: https://github.com/torognes/swarm
Description: robust and fast clustering method for amplicon-based studies
Description-md5: 20655f5d65101df022fdc3f06e912b67