How to Install and Uninstall ragout-examples Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 19,2024

1. Install "ragout-examples" package

Please follow the step by step instructions below to install ragout-examples on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                ragout-examples
            
                    
    
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2. Uninstall "ragout-examples" package

This guide covers the steps necessary to uninstall ragout-examples on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                ragout-examples
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the ragout-examples package on Ubuntu 20.10 (Groovy Gorilla)

Package: ragout-examples
Architecture: all
Version: 2.3-2
Priority: optional
Section: universe/science
Source: ragout
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 18023
Filename: pool/universe/r/ragout/ragout-examples_2.3-2_all.deb
Size: 18434184
MD5sum: 4a86d856a6a272f8accb0f4f9944eaf7
SHA1: e087d63df968edfcb929eb3125e45e82880d6cb9
SHA256: b5bcf2d6dfcca27cb10a7095d210ae6ab6af62467c49566c7aed379caeeb5038
SHA512: fb0932bcb4db5d42e7598221a64b4f3abff2bbbd43bc4088dc36765a8feee33c5a951a6692aba51f78301bbbb4530a0c51dd9d7796b4037a58ab9ce75f59e0ad
Homepage: https://github.com/fenderglass/Ragout/
Description-en: Reference-Assisted Genome Ordering UTility (example data)
Ragout (Reference-Assisted Genome Ordering UTility) is a tool for
chromosome-level scaffolding using multiple references. Given initial
assembly fragments (contigs/scaffolds) and one or multiple related
references (complete or draft), it produces a chromosome-scale assembly
(as a set of scaffolds).
.
The approach is based on the analysis of genome rearrangements (like
inversions or chromosomal translocations) between the input genomes and
reconstructing the most parsimonious structure of the target genome.
.
Ragout now supports both small and large genomes (of mammalian scale
and complexity). The assembly of highly polymorphic genomes is
currently limited.
.
This package contains example data to test ragout.
Description-md5: 3acd8375d948d70dceeaf4b5e8dd98bb