How to Install and Uninstall trinityrnaseq Package on Ubuntu 22.10 (Kinetic Kudu)

Last updated: November 22,2024

1. Install "trinityrnaseq" package

Please follow the guidance below to install trinityrnaseq on Ubuntu 22.10 (Kinetic Kudu)

$ 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 22.10 (Kinetic Kudu):

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

3. Information about the trinityrnaseq package on Ubuntu 22.10 (Kinetic Kudu)

Package: trinityrnaseq
Architecture: amd64
Version: 2.13.2+dfsg-3
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: 6888
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libgomp1 (>= 6), libhts3 (>= 1.10), libstdc++6 (>= 11), 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, 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, r-cran-argparse, r-cran-goplot, r-bioc-dexseq
Recommends: trinityrnaseq-examples, r-cran-tidyverse, picard-tools, tabix
Suggests: collectl, r-bioc-tximportdata
Filename: pool/universe/t/trinityrnaseq/trinityrnaseq_2.13.2+dfsg-3_amd64.deb
Size: 1722706
MD5sum: e2523e31522b1a72ba72eab09a42d1b1
SHA1: 5b232a5b97126649e047f0b7ac1e562526554f39
SHA256: ef2096bd51426e02a88f66e63551c07c10ea3dd2f8d782ffdc5640240d8499dd
SHA512: 1af936f1279adecc811d754b872ea01c211041ac86e13be277bdb15e2399468c3bfa8a548d6139a0be43bd40f688972a9a7c95d7301ba483e63a85aac6adc4df
Homepage: https://trinityrnaseq.github.io/
Description: RNA-Seq De novo Assembly
Description-md5: 2ee7f38dbb99a040c33d6619f4f5668b