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

Last updated: December 23,2024

1. Install "r-bioc-chemminer" package

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

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

2. Uninstall "r-bioc-chemminer" package

Learn how to uninstall r-bioc-chemminer on Ubuntu 21.10 (Impish Indri):

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

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

Package: r-bioc-chemminer
Architecture: amd64
Version: 3.42.1+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: 1571
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-api-bioc-3.12, r-cran-rjson, r-cran-rcurl, r-cran-dbi, r-cran-digest, r-bioc-biocgenerics, r-cran-rcpp (>= 0.11.0), r-cran-ggplot2, r-cran-gridextra, r-cran-png, r-cran-base64enc, r-cran-dt, r-cran-rsvg, r-cran-bh, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Suggests: r-cran-rsqlite, r-cran-scatterplot3d, r-cran-gplots, r-bioc-fmcsr, r-cran-snow, r-cran-rpostgresql, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-biocmanager
Filename: pool/universe/r/r-bioc-chemminer/r-bioc-chemminer_3.42.1+dfsg-1_amd64.deb
Size: 1149712
MD5sum: ee400716a9d72e4ad17d3891bd31df5b
SHA1: bbb1585ae226163f92537a02047c643e9f2a3d3b
SHA256: 27bf14df9711fb6ad5ba46eee9639d202fdfd13e3830ba8adbeedde66c415285
SHA512: 6fcb6c2919d6c207ba745d5c5e77525677358ffd0c1ef76d71a2627ef87db582a1e4a91243544ef1172c9fa8fb57c98611bcc2f6bcc86191fc732ddb9daa83c5
Homepage: https://bioconductor.org/packages/ChemmineR/
Description-en: Cheminformatics Toolkit for R
ChemmineR is a cheminformatics package for analyzing drug-like small
molecule data in R. Its latest version contains functions for efficient
processing of large numbers of molecules, physicochemical/structural
property predictions, structural similarity searching, classification
and clustering of compound libraries with a wide spectrum of algorithms.
In addition, it offers visualization functions for compound clustering
results and chemical structures.
Description-md5: ea98f3bfbb4d55ab5f901a2b5406e95f