How to Install and Uninstall roary Package on Kali Linux

Last updated: February 24,2025

1. Install "roary" package

Please follow the guidelines below to install roary on Kali Linux


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

This tutorial shows how to uninstall roary on Kali Linux:


    
        
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                sudo apt remove
            
                        
                roary
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the roary package on Kali Linux

Package: roary
Version: 3.13.0+dfsg-1
Installed-Size: 670
Maintainer: Debian Med Packaging Team
Architecture: all
Depends: perl, bioperl (>= 1.7.4), libarray-utils-perl, libdigest-md5-file-perl, libenv-path-perl, libexception-class-perl, libfile-find-rule-perl, libfile-grep-perl, libfile-slurper-perl, libfile-which-perl, libfindbin-libs-perl, libgraph-perl, libgraph-readwrite-perl, liblog-log4perl-perl, libmoose-perl, libperlio-utf8-strict-perl, libtest-most-perl, libtest-file-perl, libtest-files-perl, libtest-output-perl, libtext-csv-perl, bedtools, cd-hit, ncbi-blast+, mcl, parallel, prank, r-base-core, r-cran-ggplot2, mafft, fasttree
Size: 183740
SHA256: 1732e00b165a0cee53b42fb9b142ea5491cd7de00b91be2cc8709297d999de66
SHA1: 7a364ec8261075490615ee7c01c86c6d26717ec5
MD5sum: 991a49663368c3a0a660af3107720dad
Description: high speed stand alone pan genome pipeline
Roary is a high speed stand alone pan genome pipeline, which takes annotated
assemblies in GFF3 format (as produced, for instance, by Prokka) and calculates
the pan genome. Using a standard desktop PC, it can analyse datasets with
thousands of samples, something which is computationally infeasible with
existing methods, without compromising the quality of the results. 128 samples
can be analysed in under 1 hour using 1 GB of RAM and a single processor.
To perform this analysis using existing methods would take weeks and hundreds
of GB of RAM. Roary is not intended for meta-genomics or for comparing
extremely diverse sets of genomes.
Description-md5:
Homepage: http://sanger-pathogens.github.io/Roary/
Tag: field::biology, field::biology:bioinformatics, implemented-in::perl,
interface::commandline, role::program, scope::utility, use::analysing,
use::comparing
Section: science
Priority: optional
Filename: pool/main/r/roary/roary_3.13.0+dfsg-1_all.deb