How to Install and Uninstall resfinder Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 12,2024

1. Install "resfinder" package

This guide let you learn how to install resfinder on Ubuntu 20.10 (Groovy Gorilla)


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

Please follow the step by step instructions below to uninstall resfinder on Ubuntu 20.10 (Groovy Gorilla):


    
        
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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 20.10 (Groovy Gorilla)

Package: resfinder
Architecture: all
Version: 3.2-2
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
Filename: pool/universe/r/resfinder/resfinder_3.2-2_all.deb
Size: 10780
MD5sum: 966dd4a0b26bdfece7559ba30033250e
SHA1: 99aff856797ce80d3f9ce0a1b29895c85499ec49
SHA256: cb0547ef80172e311ea0aaf9beaca7915fd2525f8ab2f85f56d17c92b805da06
SHA512: 6282eea2260f19b0a70a6ee7d51ae8a96e01323bcb1c1af6e49b1134af64c9a28d9bf21d1e21ba729a65315860467b0fc0582884dc5beadc575eae228a90ac2f
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