How to Install and Uninstall trnascan-se Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 21,2024

1. Install "trnascan-se" package

Learn how to install trnascan-se on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                trnascan-se
            
                    
    
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2. Uninstall "trnascan-se" package

This guide covers the steps necessary to uninstall trnascan-se on Ubuntu 20.10 (Groovy Gorilla):


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

Package: trnascan-se
Architecture: amd64
Version: 2.0.5-1
Priority: optional
Section: multiverse/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 716
Depends: libc6 (>= 2.29), perl:any, trnascan-se-common (= 2.0.5-1), infernal
Filename: pool/multiverse/t/trnascan-se/trnascan-se_2.0.5-1_amd64.deb
Size: 152060
MD5sum: 82ab28b63bdd9b1efd34f5072e10872a
SHA1: a843ef34ae754ebae13db64a3b760864d183f746
SHA256: bca37cb266ab9ac89d740f332a3719f29a01ce642e24198bcd23e8b131a9b526
SHA512: f11610ad259244b123f0927b2097d5b65b06eb4b7b4ae955967390729dd4343d74b994304248a19efdc396c96073db99ccfb4759894a3ccbf9c56a5d8aabdd8e
Homepage: http://lowelab.ucsc.edu/tRNAscan-SE
Description-en: detection of transfer RNA genes in genomic sequence
tRNAscan-SE identifies 99-100% of transfer RNA genes in DNA sequence while
giving less than one false positive per 15 gigabases. Two previously described
tRNA detection programs are used as fast, first-pass prefilters to identify
candidate tRNAs, which are then analyzed by a highly selective tRNA covariance
model. This work represents a practical application of RNA covariance models,
which are general, probabilistic secondary structure profiles based on
stochastic context-free grammars. tRNAscan-SE searches at ~ 30 000 bp/s.
Additional extensions to tRNAscan-SE detect unusual tRNA homologues such as
selenocysteine tRNAs, tRNA-derived repetitive elements and tRNA pseudogenes.
Description-md5: 80babadb35f6dbb17e66a647e5088854