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

Last updated: November 22,2024

1. Install "trinityrnaseq" package

This guide let you learn how to install trinityrnaseq on Ubuntu 20.10 (Groovy Gorilla)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                trinityrnaseq
            
                    
    
    Copied

2. Uninstall "trinityrnaseq" package

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


    
        
            $
        

        
            
                sudo apt remove
            
                        
                trinityrnaseq
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: trinityrnaseq
Architecture: amd64
Version: 2.10.0+dfsg-1
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: 7355
Depends: libc6 (>= 2.27), libgcc-s1 (>= 3.0), libgomp1 (>= 6), libhts3 (>= 1.10), libstdc++6 (>= 9), zlib1g (>= 1:1.1.4), perl:any, jaligner, libcommons-collections4-java, libgetopt-java, libjung-free-java, bowtie, bowtie2, libwww-perl, default-jre-headless, samtools, jellyfish, r-base-core, r-cran-cluster, r-bioc-qvalue, rsem, berkeley-express, trimmomatic, transdecoder, parafly, curl, salmon, python3-numpy, ncbi-blast+, python3, r-cran-readr, r-bioc-edger, r-bioc-deseq2, r-bioc-rots, r-cran-fastcluster, liburi-perl, r-cran-ape, r-bioc-ctc, r-cran-gplots, r-bioc-biobase, r-bioc-goseq, r-bioc-tximport, python3-htseq, rna-star, gmap, hisat2, subread, kallisto, python3-hisat2
Recommends: trinityrnaseq-examples, r-cran-tidyverse, picard-tools
Suggests: collectl, r-bioc-tximportdata
Filename: pool/universe/t/trinityrnaseq/trinityrnaseq_2.10.0+dfsg-1_amd64.deb
Size: 1674808
MD5sum: ad8fef964d0150461f3223c3caa2e895
SHA1: 1c9b591a2e9a7080d9fdc058e955a27794261991
SHA256: 10ffda2a923f7c49244df9a9f2d65f3928318d85f880480690fcc260216efd47
SHA512: 0987fd70ccc4b4519c37fa5b57e4807cfafff6d81161931e0e427c604359177ccdc11a9aa542616ac498584f6a4e63cf1790e63a2770a5a71d93e9ca4e65f52f
Homepage: https://trinityrnaseq.github.io/
Description-en: RNA-Seq De novo Assembly
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.
Description-md5: 2ee7f38dbb99a040c33d6619f4f5668b