How to Install and Uninstall infernal-doc Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 25,2024

1. Install "infernal-doc" package

Please follow the instructions below to install infernal-doc on Ubuntu 21.10 (Impish Indri)


    
        
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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

Please follow the steps below to uninstall infernal-doc on Ubuntu 21.10 (Impish Indri):


    
        
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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 21.10 (Impish Indri)

Package: infernal-doc
Architecture: all
Version: 1.1.4-1
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: 912
Filename: pool/universe/i/infernal/infernal-doc_1.1.4-1_all.deb
Size: 895704
MD5sum: dbb66c3614e18cd8ce26bf0b5df937f8
SHA1: 812eba3b428ba61600e4513da1d8f466f10e3317
SHA256: 8c6c8f4e284aefa712ae72c1d73d723d157582dcd2092e019ae9978189d5ab9b
SHA512: b0a64c42b186231354e687df8098ea51105518cfca3e491bbd154fc131fdb29f07ebe38c62e61ff648d825f909ac6dfcaa7ae8e2a842995127027af18bfdcff4
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