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

Last updated: May 17,2024

1. Install "infernal" package

In this section, we are going to explain the necessary steps to install infernal on Ubuntu 20.10 (Groovy Gorilla)


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

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


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

Package: infernal
Architecture: amd64
Version: 1.1.3-5
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: 48442
Depends: libc6 (>= 2.29)
Filename: pool/universe/i/infernal/infernal_1.1.3-5_amd64.deb
Size: 5479836
MD5sum: 709ec9176b4d8a06d96bd5646acbbc1f
SHA1: f84639006c9d59220fdf3f2ac3c25a05743183c6
SHA256: d28a5f372f88852a3ea4be7cf2ba4aca3dbf5035545e41d6b2757ddd5d308439
SHA512: f0ab3ab1e693fb4feb1dcfb009928b1bc9e9a25d560a0775cd8a249dc998eccc801f47df7c0b0637d6554654bf111369cc2d168a7e20850eff4573e1ff11cd8a
Homepage: http://eddylab.org/infernal/
Description-en: inference of RNA secondary structural alignments
Infernal ("INFERence of RNA ALignment") searches DNA sequence
databases for RNA structure and sequence similarities. It provides an
implementation of a special variant 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.
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The tool is an integral component of the Rfam database.
Description-md5: 0fa26f15adcc8d61cdb1b817c872c7ec