How to Install and Uninstall transdecoder-doc Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 26,2024

1. Install "transdecoder-doc" package

Please follow the guidelines below to install transdecoder-doc on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                transdecoder-doc
            
                    
    
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2. Uninstall "transdecoder-doc" package

This is a short guide on how to uninstall transdecoder-doc on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                transdecoder-doc
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the transdecoder-doc package on Ubuntu 20.10 (Groovy Gorilla)

Package: transdecoder-doc
Architecture: all
Version: 5.0.1-3
Multi-Arch: foreign
Priority: optional
Section: universe/doc
Source: transdecoder
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 24951
Depends: perl:any
Filename: pool/universe/t/transdecoder/transdecoder-doc_5.0.1-3_all.deb
Size: 12308436
MD5sum: 1df506de36ce7e33391fdd6b7d670e4d
SHA1: 2c6c4eb184d4a7f0a1fe20ad3de7c5ad3c073f73
SHA256: e18337c5c8289efa7e7de8444800a60a7748bab7e71b17496b33dc78c76dd184
SHA512: ea97cc6c207157e9e6f3d8984cd4f4eb836af83cfcf82454688648eb6d90b3cd82115e15621ab361f91623d7a34684b332a8332da0fd4d89982b4d7956125616
Homepage: https://transdecoder.github.io/
Description-en: find coding regions within transcripts
TransDecoder identifies candidate coding regions within transcript sequences,
such as those generated by de novo RNA-Seq transcript assembly using Trinity,
or constructed based on RNA-Seq alignments to the genome using Tophat and
Cufflinks.
.
TransDecoder identifies likely coding sequences based on the following
criteria:
* a minimum length open reading frame (ORF) is found in a transcript sequence
* a log-likelihood score similar to what is computed by the GeneID software
is > 0.
* the above coding score is greatest when the ORF is scored in the 1st
reading frame as compared to scores in the other 5 reading frames.
* if a candidate ORF is found fully encapsulated by the coordinates of
another candidate ORF, the longer one is reported. However, a single
transcript can report multiple ORFs (allowing for operons, chimeras, etc).
* optional the putative peptide has a match to a Pfam domain above the noise
cutoff score.
.
This package contains the documentation and sample data.
Description-md5: 168523ac6b085515328a1fe5c662dc8b