How to Install and Uninstall trinityrnaseq Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 06,2024

1. Install "trinityrnaseq" package

Please follow the step by step instructions below to install trinityrnaseq on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install trinityrnaseq

2. Uninstall "trinityrnaseq" package

This tutorial shows how to uninstall trinityrnaseq on Ubuntu 21.10 (Impish Indri):

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

3. Information about the trinityrnaseq package on Ubuntu 21.10 (Impish Indri)

Package: trinityrnaseq
Architecture: amd64
Version: 2.11.0+dfsg-6
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: 7243
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, 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_2.11.0+dfsg-6_amd64.deb
Size: 1638160
MD5sum: e340603e3692aa2f0ebccbebdef43031
SHA1: 66b3f97fc51df752190de2e8f5c0ab50eeb4adb2
SHA256: 01d7cf0a1e4cc403ee40830bed06dbdc691ef9efeb097e3d5ea824afe208a99a
SHA512: f32fdf692075b9098cea5c00d6182d87d6a5ede313620ee1ccb6f90e7ee5c2ba44d8df7fb892740c2de3f0736a36870664cd73d17debbab90b5160ecf12067e3
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