How to Install and Uninstall r-cran-webgestaltr Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 20,2024

1. Install "r-cran-webgestaltr" package

Please follow the step by step instructions below to install r-cran-webgestaltr on Ubuntu 20.10 (Groovy Gorilla)

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

2. Uninstall "r-cran-webgestaltr" package

This is a short guide on how to uninstall r-cran-webgestaltr on Ubuntu 20.10 (Groovy Gorilla):

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

3. Information about the r-cran-webgestaltr package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-webgestaltr
Architecture: amd64
Version: 0.4.3-1build2
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: 942
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-dplyr, r-cran-dorng, r-cran-readr, r-cran-doparallel (>= 1.0.10), r-cran-foreach (>= 1.4.0), r-cran-jsonlite, r-cran-httr, r-cran-rlang, r-cran-svglite, r-cran-igraph, r-cran-whisker, r-cran-apcluster, r-cran-rcpp, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Filename: pool/universe/r/r-cran-webgestaltr/r-cran-webgestaltr_0.4.3-1build2_amd64.deb
Size: 467600
MD5sum: ae7160bb9a2a9e9c90108690ba85fd14
SHA1: e16c80d994202e7a6a0497afc62c72ebc04d3acd
SHA256: df828ccb13efd61dcc8d5fa0cb83d54fd5f7d5d23cccfcdfba883c55ae77f9d0
SHA512: 9c4bf64aa710cc9f544a546db052b64439519dc9ffa6204b09b28a57d3167a4c58348ead5f20779bd012064192fb4386759eaae1611440f97a8d2d531629ed91
Homepage: https://cran.r-project.org/package=WebGestaltR
Description-en: find over-represented properties in gene lists
The web version WebGestalt supports 12
organisms, 354 gene identifiers and 321,251 function categories. Users
can upload the data and functional categories with their own gene
identifiers. In addition to the Over-Representation Analysis, WebGestalt
also supports Gene Set Enrichment Analysis and Network Topology
Analysis. The user-friendly output report allows interactive and
efficient exploration of enrichment results. The WebGestaltR package not
only supports all above functions but also can be integrated into other
pipeline or simultaneously analyze multiple gene lists.
Description-md5: 721be8cc518c444d7770c7cfd75924fb