How to Install and Uninstall r-bioc-bitseq Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 06,2024

1. Install "r-bioc-bitseq" package

Here is a brief guide to show you how to install r-bioc-bitseq on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install r-bioc-bitseq

2. Uninstall "r-bioc-bitseq" package

This is a short guide on how to uninstall r-bioc-bitseq on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove r-bioc-bitseq $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-bioc-bitseq package on Ubuntu 21.10 (Impish Indri)

Package: r-bioc-bitseq
Architecture: amd64
Version: 1.34.0+dfsg-1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 5973
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-api-bioc-3.12, r-bioc-rsamtools (>= 1.99.3), r-bioc-s4vectors, r-bioc-iranges, r-bioc-rhtslib (>= 1.15.5), libc6 (>= 2.29), libcurl4 (>= 7.18.0), libgcc-s1 (>= 3.0), libgomp1 (>= 6), libstdc++6 (>= 5.2)
Suggests: r-bioc-edger, r-bioc-deseq, r-bioc-biocstyle
Filename: pool/universe/r/r-bioc-bitseq/r-bioc-bitseq_1.34.0+dfsg-1_amd64.deb
Size: 1127904
MD5sum: 487ccf621a12fb628a208e7555a8ca4d
SHA1: 72987721b61b407e5464ddd8016b6bb4f5dbbd5f
SHA256: ccc0c590bede2d6419c90d5e68cebfad6d73561b77b94bf6d2eecf187072d0cb
SHA512: 0bffdc78f54291f5bd9248b1f5f23a7d6bdf40bf95a1ffae05cdaba1413eb96c1edee07d6a81e1e9b2a7da04c04a89f878e4608aaa4d2b84bf5b0d307bdd482f
Homepage: https://bioconductor.org/packages/BitSeq/
Description-en: transcript expression inference and analysis for RNA-seq data
The BitSeq package is targeted for transcript expression
analysis and differential expression analysis of RNA-seq data
in two stage process. In the first stage it uses Bayesian
inference methodology to infer expression of individual
transcripts from individual RNA-seq experiments. The second
stage of BitSeq embraces the differential expression analysis
of transcript expression. Providing expression estimates from
replicates of multiple conditions, Log-Normal model of the
estimates is used for inferring the condition mean transcript
expression and ranking the transcripts based on the likelihood
of differential expression.
Description-md5: 22ff866a439a9bfddee6c325ea799b9b