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

Last updated: December 24,2024

1. Install "r-bioc-chemminer" package

This is a short guide on how to install r-bioc-chemminer on Ubuntu 20.10 (Groovy Gorilla)

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

2. Uninstall "r-bioc-chemminer" package

Here is a brief guide to show you how to uninstall r-bioc-chemminer on Ubuntu 20.10 (Groovy Gorilla):

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

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

Package: r-bioc-chemminer
Architecture: amd64
Version: 3.40.0+dfsg-2build1
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: 1585
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-api-bioc-3.11, 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-cran-knitr, r-cran-rmarkdown, r-cran-biocmanager
Filename: pool/universe/r/r-bioc-chemminer/r-bioc-chemminer_3.40.0+dfsg-2build1_amd64.deb
Size: 1162868
MD5sum: e7a0aedaadccb9da23318972808c5096
SHA1: 55a595d500a8119e4126afa65f80b735fb7493a5
SHA256: cb3e38e8f577c23c1a04cbdb56c71033245435ba3319df79e073f1c0527fd7ff
SHA512: 9dc1b51026a668ef2bcb93d401cd4f9b1c9dcaf5ce35647efba32bd74cdd04378c50d5bf0f6751d1c7eb4a9f066eda7c512d983241f66c038c70110c9155e4e4
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