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

Last updated: December 23,2024

1. Install "hmmer" package

This guide covers the steps necessary to install hmmer on Ubuntu 20.10 (Groovy Gorilla)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                hmmer
            
                    
    
    Copied

2. Uninstall "hmmer" package

This is a short guide on how to uninstall hmmer on Ubuntu 20.10 (Groovy Gorilla):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                hmmer
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the hmmer package on Ubuntu 20.10 (Groovy Gorilla)

Package: hmmer
Architecture: amd64
Version: 3.3+dfsg2-1
Priority: extra
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 7354
Depends: libc6 (>= 2.29), libdivsufsort3 (>= 2.0.1)
Suggests: hmmer-doc (>= 3.3+dfsg2-1)
Filename: pool/universe/h/hmmer/hmmer_3.3+dfsg2-1_amd64.deb
Size: 1154100
MD5sum: 7455b6dca98548c5e260b3312fcee05a
SHA1: 89b91944f70801bde4a33d4af3392d34ac24a580
SHA256: f569cdd4d34c28433afa2e1792fd6e840c44fac0a02068b959352c96b8d8f649
SHA512: 25ea14812d873bd08c4e001da9f71eb2e9f87aaae90e84ae1fc88b11d2ac4ce6fb4748e5f92117ac33ec74d5a7a78e50b417e1ed8b1f6852918d1cc5abb3c604
Homepage: http://hmmer.org/
Description-en: profile hidden Markov models for protein sequence analysis
HMMER is an implementation of profile hidden Markov model methods for
sensitive searches of biological sequence databases using multiple sequence
alignments as queries.
.
Given a multiple sequence alignment as input, HMMER builds a statistical
model called a "hidden Markov model" which can then be used as a query into
a sequence database to find (and/or align) additional homologues of the
sequence family.
Description-md5: 1a932e8cd9001f44e8b56d46f8c58f4b