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

Last updated: May 10,2024

1. Install "resfinder" package

Please follow the steps below to install resfinder on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                resfinder
            
                    
    
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2. Uninstall "resfinder" package

Learn how to uninstall resfinder on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                resfinder
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the resfinder package on Ubuntu 21.10 (Impish Indri)

Package: resfinder
Architecture: all
Version: 3.2-3
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: 47
Depends: python3:any, resfinder-db, python3-cgecore, python3-tabulate, ncbi-blast+-legacy, python3-distutils
Filename: pool/universe/r/resfinder/resfinder_3.2-3_all.deb
Size: 11012
MD5sum: 47d821ea8cc10d00fdee7fcd9dea52b0
SHA1: 431c5b667770c0af70bccca2d661aa449fd0b5cb
SHA256: e0ec917233efcd4596ae173926d937e3f0e6579619677674272fc4bc8d341c09
SHA512: aee4ccf6779fc0a516583084c9fa7b1d9b5d5375a692a8a2b1bda846bbb7aa3e4366c82af1e7daea2969b9e66127c359674f5947a2068ca129ff04cf83e0334f
Homepage: https://bitbucket.org/genomicepidemiology/resfinder
Description-en: identify acquired antimicrobial resistance genes
ResFinder identifies acquired antimicrobial resistance genes in total or
partial sequenced isolates of bacteria.
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ResFinder that uses BLAST for identification of acquired antimicrobial
resistance genes in whole-genome data. As input, the method can use both
pre-assembled, complete or partial genomes, and short sequence reads
from four different sequencing platforms. The method was evaluated on
1862 GenBank files containing 1411 different resistance genes, as well
as on 23 de-novo-sequenced isolates.
Description-md5: cce3ff3cc36c4c2328391a5521af12c8