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

Last updated: May 06,2024

1. Install "r-bioc-edaseq" package

Please follow the step by step instructions below to install r-bioc-edaseq on Ubuntu 21.10 (Impish Indri)

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

2. Uninstall "r-bioc-edaseq" package

This tutorial shows how to uninstall r-bioc-edaseq on Ubuntu 21.10 (Impish Indri):

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

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

Package: r-bioc-edaseq
Architecture: all
Version: 2.24.0+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: 519
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-api-bioc-3.12, r-bioc-biobase (>= 2.15.1), r-bioc-shortread (>= 1.11.42), r-bioc-biocgenerics, r-bioc-iranges (>= 1.13.9), r-bioc-aroma.light, r-bioc-rsamtools (>= 1.5.75), r-bioc-biomart, r-bioc-biostrings, r-bioc-annotationdbi, r-bioc-genomicfeatures, r-bioc-genomicranges, r-cran-biocmanager
Recommends: r-cran-testthat
Suggests: r-bioc-biocstyle, r-cran-knitr, r-bioc-edger, r-cran-kernsmooth, r-bioc-deseq2
Filename: pool/universe/r/r-bioc-edaseq/r-bioc-edaseq_2.24.0+dfsg-1_all.deb
Size: 373776
MD5sum: b16b2608c1165de9f93061cd4857b0f8
SHA1: 2e8db19a47e109c6168584fa6c60ea7abb3b70c8
SHA256: 48025291ada060a432010ba215b13385bac23be38190501a089489d317dcda9e
SHA512: cab81b293168822af3b190013800242cc2f175856ebddf569a6cef418662ecb1f554e9c12b74b584abb451a975e8d71b44b09366fad6d93a37b2c98060f59297
Homepage: https://bioconductor.org/packages/EDASeq/
Description-en: GNU R exploratory data analysis and normalization for RNA-Seq
Numerical and graphical summaries of RNA-Seq read data.
Within-lane normalization procedures to adjust for GC-content
effect (or other gene-level effects) on read counts: loess
robust local regression, global-scaling, and full-quantile
normalization (Risso et al., 2011). Between-lane normalization
procedures to adjust for distributional differences between
lanes (e.g., sequencing depth): global-scaling and
full-quantile normalization (Bullard et al., 2010).
Description-md5: dd9b03be74340f306e3c0ecca939774e