How to Install and Uninstall trinityrnaseq-examples Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 10,2024

1. Install "trinityrnaseq-examples" package

Please follow the step by step instructions below to install trinityrnaseq-examples on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                trinityrnaseq-examples
            
                    
    
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2. Uninstall "trinityrnaseq-examples" package

Please follow the steps below to uninstall trinityrnaseq-examples on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                trinityrnaseq-examples
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the trinityrnaseq-examples package on Ubuntu 20.10 (Groovy Gorilla)

Package: trinityrnaseq-examples
Architecture: all
Version: 2.10.0+dfsg-1
Priority: optional
Section: universe/science
Source: trinityrnaseq
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 398478
Depends: perl:any, r-base-core
Recommends: trinityrnaseq
Filename: pool/universe/t/trinityrnaseq/trinityrnaseq-examples_2.10.0+dfsg-1_all.deb
Size: 254900628
MD5sum: 5dc1778eca8f602133d3326be4484162
SHA1: 7a59b9f258bcd4a7201fbde3b281d288c04d5269
SHA256: 42f0b9af8866d34d9b9f2004bdd9f74aa8f7f7e4a16641f8940d990fd9325b3e
SHA512: 50379de71bfd2565d4229d4de65926c9b66a75e4af528fe9d2a79ec8f498c2ebe4333b9c6130ec6fb28134963473cca49dccaa8e9eaef1e2a94a0c4e9e0a396f
Homepage: https://trinityrnaseq.github.io/
Description-en: RNA-Seq De novo Assembly common example and testing files
Trinity represents a novel method for the efficient and robust de novo
reconstruction of transcriptomes from RNA-seq data. Trinity combines three
independent software modules: Inchworm, Chrysalis, and Butterfly, applied
sequentially to process large volumes of RNA-seq reads. Trinity partitions
the sequence data into many individual de Bruijn graphs, each representing the
transcriptional complexity at a given gene or locus, and then processes
each graph independently to extract full-length splicing isoforms and to tease
apart transcripts derived from paralogous genes.
.
This package contains testing & example files.
Description-md5: ed2dc144f88f410c79f957673eea79fb