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

Last updated: May 16,2024

1. Install "barrnap" package

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


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

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


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

Package: barrnap
Architecture: all
Version: 0.9+dfsg-2
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: 1440
Depends: perl:any, hmmer (>= 3.1), bedtools
Filename: pool/universe/b/barrnap/barrnap_0.9+dfsg-2_all.deb
Size: 204148
MD5sum: 91ed6d6cfcd248b553052fbd14712daf
SHA1: 9172f40bd672d89d72d8922deadb3513407e9161
SHA256: a898324b08ae4611fa83b7d126e9a2d398b3b07d46549519ae7244bf200193bd
SHA512: 7628a15570b0f90891527be6db7ae67c60825b575514a646ec5b8758ca14f0a773b5dd35ae7e0a4900c507e103351f239c62ee6ad157e027ceb92ebece7eb150
Homepage: http://www.vicbioinformatics.com/software.barrnap.shtml
Description-en: rapid ribosomal RNA prediction
Barrnap (BAsic Rapid Ribosomal RNA Predictor) predicts the location of
ribosomal RNA genes in genomes. It supports bacteria (5S,23S,16S), archaea
(5S,5.8S,23S,16S), mitochondria (12S,16S) and eukaryotes (5S,5.8S,28S,18S).
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It takes FASTA DNA sequence as input, and writes GFF3 as output. It uses the
NHMMER tool that comes with HMMER 3.1 for HMM searching in RNA:DNA style.
Multithreading is supported and one can expect roughly linear speed-ups
with more CPUs.
Description-md5: 16435ddfce10642f034223b0837d9e5c