How to Install and Uninstall r-bioc-edaseq Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 06,2024

1. Install "r-bioc-edaseq" package

Please follow the guidance below to install r-bioc-edaseq on Ubuntu 20.10 (Groovy Gorilla)

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

2. Uninstall "r-bioc-edaseq" package

Please follow the guidelines below to uninstall r-bioc-edaseq on Ubuntu 20.10 (Groovy Gorilla):

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

3. Information about the r-bioc-edaseq package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-bioc-edaseq
Architecture: all
Version: 2.22.0+dfsg-1build1
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: 897
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-api-bioc-3.11, r-bioc-biobase (>= 2.15.1), r-bioc-shortread (>= 1.11.42), r-bioc-biocgenerics, r-bioc-iranges (>= 1.13.9), r-bioc-deseq, 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-cran-knitr, r-bioc-edger, r-cran-kernsmooth
Filename: pool/universe/r/r-bioc-edaseq/r-bioc-edaseq_2.22.0+dfsg-1build1_all.deb
Size: 557352
MD5sum: 5e0df6f5556f567f74ca7e69fadc9d62
SHA1: 12ae5d8c6251dfed489fb3c19e1bbe6a57a46083
SHA256: ac378037b9352937a902be58a160572f2e4024a18672eb7b0a5489eebf7860fc
SHA512: ccfd95fc38494f69b70deecefbac393a60683d4d9f634d0b0c366f17b779b86a9abaa26220d10a66e7cc95b7b507bfc424c05301ec589b959f54e8e0899f58ba
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