How to Install and Uninstall trnascan-se Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 17,2024

1. Install "trnascan-se" package

This guide covers the steps necessary to install trnascan-se on Ubuntu 21.10 (Impish Indri)


    
        
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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

Please follow the guidelines below to uninstall trnascan-se on Ubuntu 21.10 (Impish Indri):


    
        
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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 21.10 (Impish Indri)

Package: trnascan-se
Architecture: amd64
Version: 2.0.7+ds-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: 724
Depends: libc6 (>= 2.29), perl:any, trnascan-se-common (= 2.0.7+ds-1), infernal
Filename: pool/multiverse/t/trnascan-se/trnascan-se_2.0.7+ds-1_amd64.deb
Size: 157864
MD5sum: 6fb71ea590d36bc1389ae9436879035e
SHA1: 90965780726e3045ec0a7980f10dbb403a41e425
SHA256: 54c089a7c1b9d4037abf6d27657285a4e7b097340b60a1e09b41d04c06adb9a4
SHA512: 8ce11f727c92dfb4a0ce5329ac6d707e1aea7c378ecc4ac528693ee691122cf6ab3f13107875771f04cdc5fc86e5aec74d80c440d4ac0bde82131b8555892ee0
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