How to Install and Uninstall swarm Package on Linux Mint 21.3 (Virginia)
Last updated: January 14,2025
1. Install "swarm" package
This guide let you learn how to install swarm on Linux Mint 21.3 (Virginia)
$
sudo apt update
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$
sudo apt install
swarm
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2. Uninstall "swarm" package
Please follow the guidelines below to uninstall swarm on Linux Mint 21.3 (Virginia):
$
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 Linux Mint 21.3 (Virginia)
Package: swarm
Architecture: amd64
Version: 3.1.0+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: 736
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 5.2)
Recommends: python3
Filename: pool/universe/s/swarm-cluster/swarm_3.1.0+dfsg-1_amd64.deb
Size: 628676
MD5sum: a18563fb9761e20580215427bf8535a1
SHA1: 0d96f5a5ef307bb8a72b7dc2859e378f4e48ff70
SHA256: a77da20691cfe792f98e4ec24ccfffdc1f991b0e2b6110fbe00da6fdc2ededa7
SHA512: 7cfecb8a34ba16329cda22b03bd7f00e8d65c112148dd058b9a2df7e32720945bc4e28308e2965f5fbf73739a6f63d2a40936d0539ecc973938593de3f3767a6
Homepage: https://github.com/torognes/swarm
Description: robust and fast clustering method for amplicon-based studies
Description-md5: 20655f5d65101df022fdc3f06e912b67
Architecture: amd64
Version: 3.1.0+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: 736
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 5.2)
Recommends: python3
Filename: pool/universe/s/swarm-cluster/swarm_3.1.0+dfsg-1_amd64.deb
Size: 628676
MD5sum: a18563fb9761e20580215427bf8535a1
SHA1: 0d96f5a5ef307bb8a72b7dc2859e378f4e48ff70
SHA256: a77da20691cfe792f98e4ec24ccfffdc1f991b0e2b6110fbe00da6fdc2ededa7
SHA512: 7cfecb8a34ba16329cda22b03bd7f00e8d65c112148dd058b9a2df7e32720945bc4e28308e2965f5fbf73739a6f63d2a40936d0539ecc973938593de3f3767a6
Homepage: https://github.com/torognes/swarm
Description: robust and fast clustering method for amplicon-based studies
Description-md5: 20655f5d65101df022fdc3f06e912b67