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

Last updated: May 19,2024

1. Install "r-bioc-delayedarray" package

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

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

2. Uninstall "r-bioc-delayedarray" package

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

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

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

Package: r-bioc-delayedarray
Architecture: amd64
Version: 0.16.1+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: 2808
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-api-bioc-3.12, r-cran-matrix, r-bioc-biocgenerics (>= 0.31.5), r-bioc-matrixgenerics (>= 1.1.3), r-bioc-s4vectors (>= 0.27.2), r-bioc-iranges (>= 2.17.3), libc6 (>= 2.4)
Suggests: r-bioc-biocparallel, r-bioc-hdf5array (>= 1.17.12), r-bioc-genefilter, r-bioc-summarizedexperiment, r-bioc-delayedmatrixstats, r-cran-knitr, r-bioc-biocstyle, r-cran-runit
Filename: pool/universe/r/r-bioc-delayedarray/r-bioc-delayedarray_0.16.1+dfsg-1_amd64.deb
Size: 1794532
MD5sum: 2b71475abcac2459225ec9aed2f5198c
SHA1: 0deda0bf43779e9f6382fa018cb40975b3ceb7a5
SHA256: 0331fa964ac763fd6aa34cc6a7b5363401f2172e80477eddc6b2e91df65991df
SHA512: 27d795c57b473300bd3a0263f47d14473362c4bdf4816df6d8ad628f07ef4b2147c50864c77470aaf2e9c9ea2233e4f1ee1a4fe80086c20fef1df0be0c4a2aa0
Homepage: https://bioconductor.org/packages/DelayedArray/
Description-en: BioConductor delayed operations on array-like objects
Wrapping an array-like object (typically an on-disk object) in
a DelayedArray object allows one to perform common array operations
on it without loading the object in memory. In order to reduce memory
usage and optimize performance, operations on the object are either
delayed or executed using a block processing mechanism. Note that this
also works on in-memory array-like objects like DataFrame objects
(typically with Rle columns), Matrix objects, and ordinary arrays and
data frames.
Description-md5: bb4c0f135492d46bc2ed3eaf460c750b