How to Install and Uninstall infernal-doc Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: September 20,2024

1. Install "infernal-doc" package

Please follow the steps below to install infernal-doc on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                infernal-doc
            
                    
    
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2. Uninstall "infernal-doc" package

This tutorial shows how to uninstall infernal-doc on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                infernal-doc
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the infernal-doc package on Ubuntu 20.10 (Groovy Gorilla)

Package: infernal-doc
Architecture: all
Version: 1.1.3-5
Multi-Arch: foreign
Priority: optional
Section: universe/doc
Source: infernal
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 911
Filename: pool/universe/i/infernal/infernal-doc_1.1.3-5_all.deb
Size: 894368
MD5sum: f63fb71987c6372125597fb4402bda80
SHA1: 8c187948bd09c8953d3dd5c3418e103b0b9078f5
SHA256: 93bbe2d977c24b33bc4a4a1aef49e2d183553bacf4ee9285317cc963694f201d
SHA512: 57b1cbc484468842fa55c61375e38245345b1ed8aed2c3d4cd71e5d93864cd3eb47681c86e93e1de1b62b73a9cd496f57baa0dccda0b4498d8426ce4bc197f9e
Homepage: http://eddylab.org/infernal/
Description-en: inference of RNA secondary structural alignments – documentation
Infernal ("INFERence of RNA ALignment") searches DNA sequence
databases for RNA structure and sequence similarities. It provides an
implementation of a special case of profile stochastic context-free
grammars called covariance models (CMs). A CM is like a sequence
profile, but it scores a combination of sequence consensus and RNA
secondary structure consensus, so in many cases, it is more capable of
identifying RNA homologs that conserve their secondary structure more
than their primary sequence.
.
This package provides the documentation which is shipped with the
code of infernal.
Description-md5: e9b1617d2c59e14b9d4c57e66f9dfb48