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

Last updated: May 04,2024

1. Install "transtermhp" package

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


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

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


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

Package: transtermhp
Architecture: amd64
Version: 2.09-5
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: 498
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Filename: pool/universe/t/transtermhp/transtermhp_2.09-5_amd64.deb
Size: 130932
MD5sum: c689d1345785effd610dfe2dcd100e3d
SHA1: 9f613802ff7b33aa179b4bf2d0f653f314a9fc15
SHA256: 7d2527affd6ca09f31903332d058abe2b330037892cb4327c7afdeae50fb92f1
SHA512: 6821d6f221d4dadc40ffacb169fd5782d0aaaad907c929bd887f6118d08c05f643a33df3efd28a122073f42da84e3028e3c0d4a4f3726eb50f6f500009dfc94d
Homepage: https://transterm.cbcb.umd.edu/
Description-en: find rho-independent transcription terminators in bacterial genomes
TransTermHP finds rho-independent transcription terminators in
bacterial genomes. Each terminator found by the program is assigned a
confidence value that estimates its probability of being a true
terminator. TransTermHP is the successor of TransTerm which was using
very different search and scoring algorithms.
Description-md5: 4d3dd07ad358379d475020813db45cd9