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

Last updated: May 19,2024

1. Install "r-bioc-delayedarray" package

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

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

2. Uninstall "r-bioc-delayedarray" package

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

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

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

Package: r-bioc-delayedarray
Architecture: amd64
Version: 0.14.1+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: 2735
Depends: r-base-core (>= 4.0.2-1), r-api-4.0, r-api-bioc-3.11, r-cran-matrixstats, r-bioc-biocgenerics (>= 0.31.5), r-bioc-s4vectors (>= 0.25.15), r-bioc-iranges (>= 2.17.3), r-cran-matrix, libc6 (>= 2.4)
Recommends: r-cran-runit, r-bioc-genefilter, r-bioc-biocparallel
Suggests: r-bioc-summarizedexperiment, r-cran-knitr
Filename: pool/universe/r/r-bioc-delayedarray/r-bioc-delayedarray_0.14.1+dfsg-1_amd64.deb
Size: 1738680
MD5sum: dd7dbdf10f7d287cbd9f5d4bbb7be880
SHA1: 5d370f2a5e2bd2b82477f0d0173c3688c39db76f
SHA256: c5075b1a54dd2ce97ad3fe1d4c9b5fe2286858a16bd823c4d8cf7785382a2528
SHA512: b4df248349fb729db8f21ac2c5547cae51d80f5411ff6cdde693a538b06917818801cfa89daafa65db2ce603eca4680109c7fb116e176fed7fcb0a6e8a9a473c
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