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

Last updated: May 14,2024

1. Install "r-bioc-biocneighbors" package

This guide let you learn how to install r-bioc-biocneighbors on Ubuntu 21.10 (Impish Indri)

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

2. Uninstall "r-bioc-biocneighbors" package

Please follow the step by step instructions below to uninstall r-bioc-biocneighbors on Ubuntu 21.10 (Impish Indri):

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

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

Package: r-bioc-biocneighbors
Architecture: amd64
Version: 1.8.2+ds-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: 1136
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-api-bioc-3.12, r-cran-rcpp, r-bioc-s4vectors, r-bioc-biocparallel, r-cran-matrix, r-cran-rcpphnsw, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Recommends: r-cran-testthat, r-cran-fnn
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-rcppannoy
Filename: pool/universe/r/r-bioc-biocneighbors/r-bioc-biocneighbors_1.8.2+ds-1_amd64.deb
Size: 535580
MD5sum: d4f22d499d6bbf55c4089e610eaec611
SHA1: 5c099d4c46b072e958242d7590819473c64f7f2b
SHA256: b439e85b89bdac83b1dc831e38bca7651aa336ce1facdd195a4adb4707b697ec
SHA512: 9c9d60602ab2509d73efbffe53c8ca34aa3b0c4a319b8516aa0a928f991fdfe2a1756d399b0404ef33fcb2c4b888fc05d25520bdba8c5f5f403dad4c22945937
Homepage: https://bioconductor.org/packages/BiocNeighbors/
Description-en: Nearest Neighbor Detection for Bioconductor Packages
Implements exact and approximate methods for nearest neighbor
detection, in a framework that allows them to be easily switched within
Bioconductor packages or workflows. Exact searches can be performed using
the k-means for k-nearest neighbors algorithm or with vantage point trees.
Approximate searches can be performed using the Annoy or HNSW libraries.
Searching on either Euclidean or Manhattan distances is supported.
Parallelization is achieved for all methods by using BiocParallel. Functions
are also provided to search for all neighbors within a given distance.
Description-md5: cc15f0b45813def49274bba4d4b7cf0b