How to Install and Uninstall repeatmasker-recon Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 12,2024

1. Install "repeatmasker-recon" package

This tutorial shows how to install repeatmasker-recon on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                repeatmasker-recon
            
                    
    
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2. Uninstall "repeatmasker-recon" package

This guide let you learn how to uninstall repeatmasker-recon on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                repeatmasker-recon
            
                    
    
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            $
        

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

Package: repeatmasker-recon
Architecture: amd64
Version: 1.08-5
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: 464
Depends: libc6 (>= 2.7), perl:any
Filename: pool/universe/r/repeatmasker-recon/repeatmasker-recon_1.08-5_amd64.deb
Size: 85116
MD5sum: 03e648c5b9a8ebb7477f75b5cd95a1f0
SHA1: 17380b214f0574e8c49577c576cd8bdc5bc049ff
SHA256: f26f6858cd2885be8242799844c7a604085f769748f599dd2b80fe7ee1ee6df6
SHA512: 75169b2baac6aac8888796dc0dab9ed9caa76a3a095ed9355b9996f61453ed7f926e8445a0d3558ad2f3ce749fbd8eed7e0d77db36c091405e2648ac44d71f94
Homepage: http://www.repeatmasker.org/
Description-en: finds repeat families from biological sequences
The RECON package implements a de novo algorithm for the identification
of repeat families from biological sequences.
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The program implements an approach for the de novo identification and
classification of repeat sequence families that is based on extensions
to the usual approach of single linkage clustering of local pairwise
alignments between genomic sequences. The extensions use multiple
alignment information to define the boundaries of individual copies of
the repeats and to distinguish homologous but distinct repeat element
families. When tested on the human genome, this approach was able to
properly identify and group known transposable elements. The program,
should be useful for first-pass automatic classification of repeats in
newly sequenced genomes.
Description-md5: ef49f5f976f649a4b11b57010e18f09d