How to Install and Uninstall r-cran-bio3d Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 22,2024

1. Install "r-cran-bio3d" package

This tutorial shows how to install r-cran-bio3d on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install r-cran-bio3d

2. Uninstall "r-cran-bio3d" package

This guide let you learn how to uninstall r-cran-bio3d on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove r-cran-bio3d $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-cran-bio3d package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-bio3d
Architecture: amd64
Version: 2.4-1-1build2
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: 3910
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-rcpp, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4)
Recommends: r-cran-testthat (>= 0.9.1), muscle, clustalo, dssp, mustang
Suggests: r-cran-xml, r-cran-rcurl, r-cran-lattice, r-cran-ncdf4, r-cran-igraph, r-cran-bigmemory, r-cran-knitr, r-cran-httr, r-bioc-biostrings
Filename: pool/universe/r/r-cran-bio3d/r-cran-bio3d_2.4-1-1build2_amd64.deb
Size: 2912320
MD5sum: ca85d4977d582a33f2427f2f9c58a771
SHA1: 45b401a8627f03b934a14e20c52ff6908ab744dd
SHA256: f7fd037564d0eba20c8bf576315e6f2edfe0976c62e13f9fe7036c3b4eacb8a7
SHA512: 7d7d74744b94601395d9e382b2bd8afb66a8eddb89a9559cbce4489cf59204b824965e23486ad21d4b407bdefb1db1cd9d9e570adee122f3eb7d5eccb97e66ec
Homepage: https://cran.r-project.org/package=bio3d
Description-en: GNU R package for biological structure analysis
The bio3d package contains utilities to process, organize and explore
protein structure, sequence and dynamics data. Features include the
ability to read and write structure, sequence and dynamic trajectory
data, perform atom summaries, atom selection, re-orientation,
superposition, rigid core identification, clustering, torsion analysis,
distance matrix analysis, structure and sequence conservation analysis,
and principal component analysis (PCA). In addition, various utility
functions are provided to enable the statistical and graphical power of
the R environment to work with biological sequence and structural data.
Description-md5: 5150a63a38e956e286904b0c1ebe5442