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

Last updated: May 19,2024

1. Install "trnascan-se-common" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the step by step instructions below to uninstall trnascan-se-common on Ubuntu 20.10 (Groovy Gorilla):


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

Package: trnascan-se-common
Architecture: all
Version: 2.0.5-1
Priority: optional
Section: multiverse/science
Source: trnascan-se
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 17763
Filename: pool/multiverse/t/trnascan-se/trnascan-se-common_2.0.5-1_all.deb
Size: 2352440
MD5sum: fa68c151ab0883d44faed73b4cb70261
SHA1: bfd10dfb36acb2ae301b5bb6fd32c6749468e60d
SHA256: f0df242bfe4d0fecccbcaa2d113efdd98b0ed92faea887c52b833d71fd7f2abe
SHA512: ad5c5e6675fa7ca4ff94d4778c90a75ac94294ff2790ed979cf4c5bc4f7c293986f3ba1b5c50c467e2a7aa4d7cdeeb5cea9bc9df80197429a0a8ca295bb1d62d
Homepage: http://lowelab.ucsc.edu/tRNAscan-SE
Description-en: detection of transfer RNA genes in genomic sequence (common files)
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.
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This package contains the architecture-independent common files.
Description-md5: baf47d3860e680ffd09785a074a4c7d1