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

Last updated: May 02,2024

1. Install "r-bioc-gosemsim" package

Learn how to install r-bioc-gosemsim on Ubuntu 21.10 (Impish Indri)

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

2. Uninstall "r-bioc-gosemsim" package

Here is a brief guide to show you how to uninstall r-bioc-gosemsim on Ubuntu 21.10 (Impish Indri):

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

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

Package: r-bioc-gosemsim
Architecture: amd64
Version: 2.16.1-1
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: 1015
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-api-bioc-3.12, r-bioc-annotationdbi, r-bioc-go.db, r-cran-rcpp, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Recommends: r-cran-testthat
Suggests: r-bioc-annotationhub, r-cran-biocmanager, r-cran-knitr, r-bioc-org.hs.eg.db
Filename: pool/universe/r/r-bioc-gosemsim/r-bioc-gosemsim_2.16.1-1_amd64.deb
Size: 844360
MD5sum: 7b95533166d5c268d3edcd95c3a9e52f
SHA1: 3227fa102fb963249e6d65ff0b8f0d07276c2fdf
SHA256: 514a118f2e07ca4e35ed9581ca1c8e370ec65732904b2b70e497939cc998dcec
SHA512: aa62094318bc4f7f61514573aa49e6357c380386707a719b51b3831a57ad47a3294599d8345bd42c1c6e1eb419468fa4ce78ae1662b211ed382c1f28134f404c
Homepage: https://bioconductor.org/packages/GOSemSim/
Description-en: GO-terms semantic similarity measures
The semantic comparisons of Gene Ontology (GO) annotations provide
quantitative ways to compute similarities between genes and gene groups,
and have became important basis for many bioinformatics analysis approaches.
GOSemSim is an R package for semantic similarity computation among GO terms,
sets of GO terms, gene products and gene clusters. GOSemSim implemented five
methods proposed by Resnik, Schlicker, Jiang, Lin and Wang respectively.
Description-md5: 445dc86df6bb0bc1cf75d0e4d75553a6