How to Install and Uninstall trinityrnaseq Package on Ubuntu 24.04 LTS (Noble Numbat)

Last updated: May 06,2024

1. Install "trinityrnaseq" package

This tutorial shows how to install trinityrnaseq on Ubuntu 24.04 LTS (Noble Numbat)

$ sudo apt update $ sudo apt install trinityrnaseq

2. Uninstall "trinityrnaseq" package

Here is a brief guide to show you how to uninstall trinityrnaseq on Ubuntu 24.04 LTS (Noble Numbat):

$ sudo apt remove trinityrnaseq $ sudo apt autoclean && sudo apt autoremove

3. Information about the trinityrnaseq package on Ubuntu 24.04 LTS (Noble Numbat)

Package: trinityrnaseq
Architecture: amd64
Version: 2.15.1+dfsg-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: 6863
Depends: libc6 (>= 2.38), libgcc-s1 (>= 3.3.1), libgomp1 (>= 6), libhts3 (>= 1.17), libstdc++6 (>= 13.1), zlib1g (>= 1:1.1.4), perl:any, jaligner, libgetopt-java, libjung-free-java, bowtie, bowtie2, libwww-perl, default-jre-headless, samtools, jellyfish, r-base-core, rsem, berkeley-express, trimmomatic, parafly, ncbi-blast+, python3, liburi-perl, python3-htseq, subread, kallisto
Recommends: curl, trinityrnaseq-examples, picard-tools, tabix, gmap, salmon, rna-star, hisat2, r-cran-tidyverse, r-cran-readr, r-bioc-edger, r-bioc-deseq2, r-bioc-rots, r-cran-cluster, r-cran-fastcluster, r-bioc-ctc, r-bioc-goseq, r-cran-goplot, r-cran-gplots, r-bioc-dexseq, r-cran-ape, r-bioc-biobase, r-bioc-qvalue, r-cran-argparse, r-cran-kernsmooth, python3-numpy, python3-hisat2
Suggests: collectl, transdecoder, r-bioc-tximport, r-bioc-tximportdata
Filename: pool/universe/t/trinityrnaseq/trinityrnaseq_2.15.1+dfsg-5_amd64.deb
Size: 2079228
MD5sum: 2c78188870cf6fd507dab8baf3322145
SHA1: 266f39053c38d7f8b4b2103fd28b17d5dc8951b2
SHA256: aae4c1b346eb931eb7f05597e8eee15bf54e1e38d07bebf601bf03d3b5778dda
SHA512: 689ef1b982f05e3dafc25dae2c9c13f8e5ad90a83a064ae4fdd98644e3555e4c3133328be2584fa851edea453beb52acef1ee9f7d52052b63c8ceb93b4493f14
Homepage: https://github.com/trinityrnaseq/trinityrnaseq
Description: RNA-Seq De novo Assembly
Description-md5: 2ee7f38dbb99a040c33d6619f4f5668b