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

Last updated: April 29,2024

1. Install "macsyfinder" package

Here is a brief guide to show you how to install macsyfinder on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install macsyfinder

2. Uninstall "macsyfinder" package

This is a short guide on how to uninstall macsyfinder on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove macsyfinder $ sudo apt autoclean && sudo apt autoremove

3. Information about the macsyfinder package on Ubuntu 21.10 (Impish Indri)

Package: macsyfinder
Architecture: amd64
Version: 2.0~rc1-3
Built-Using: sphinx (= 3.4.3-1)
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: 33919
Depends: python3-colorlog, python3-networkx, python3-packaging, python3-yaml, python3:any, libjs-sphinxdoc (>= 2.4.3-5~), sphinx-rtd-theme-common (>= 0.5.1+dfsg), hmmer, ncbi-blast+, libjs-jquery, libjs-underscore
Filename: pool/universe/m/macsyfinder/macsyfinder_2.0~rc1-3_amd64.deb
Size: 11178840
MD5sum: d7bcbb058e3fb14081ba0dbd5ff1defd
SHA1: 21cc8e56435ee731e2f9c9bf884bd265455c28a1
SHA256: fa71387298096794d8d1037b31ce1ba82e5ecd00139a8c90efab3b99360e1df8
SHA512: 713044f591085c890319e57b65a4f4b37d1a22565acc856759684bcff4830cad5bf9adb12df804de0215329d861560141b99866b951beed41d1507fc63b9f328
Homepage: https://github.com/gem-pasteur/macsyfinder
Description-en: detection of macromolecular systems in protein datasets
MacSyFinder is a program to model and detect macromolecular systems,
genetic pathways... in protein datasets. In prokaryotes, these systems
have often evolutionarily conserved properties: they are made of conserved
components, and are encoded in compact loci (conserved genetic architecture).
The user models these systems with MacSyFinder to reflect these conserved
features, and to allow their efficient detection
.
This package presents the Open Source Java API to biological databases
and a series of mostly sequence-based algorithms.
Description-md5: 0b9b635e7d46ea6cf9f81df42e76fb60