How to Install and Uninstall r-bioc-tcgabiolinks Package on Kali Linux

Last updated: May 04,2024

1. Install "r-bioc-tcgabiolinks" package

Please follow the steps below to install r-bioc-tcgabiolinks on Kali Linux

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

2. Uninstall "r-bioc-tcgabiolinks" package

This is a short guide on how to uninstall r-bioc-tcgabiolinks on Kali Linux:

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

3. Information about the r-bioc-tcgabiolinks package on Kali Linux

Package: r-bioc-tcgabiolinks
Version: 2.24.3+dfsg-1
Installed-Size: 6786
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-base-core (>= 4.2.0-1), r-api-4.0, r-api-bioc-3.15, r-cran-downloader (>= 0.4), r-bioc-biomart, r-cran-dplyr, r-cran-tibble, r-bioc-genomicranges, r-cran-xml (>= 3.98.0), r-cran-data.table, r-cran-jsonlite (>= 1.0.0), r-cran-plyr, r-cran-knitr, r-cran-ggplot2, r-cran-stringr (>= 1.0.0), r-bioc-iranges, r-cran-rvest (>= 0.3.0), r-bioc-s4vectors, r-cran-r.utils, r-bioc-summarizedexperiment (>= 1.4.0), r-bioc-tcgabiolinksgui.data (>= 1.15.1), r-cran-readr, r-cran-tidyr, r-cran-purrr, r-cran-xml2, r-cran-httr (>= 1.2.1)
Suggests: r-cran-jpeg, r-cran-png, r-bioc-biocstyle, r-cran-rmarkdown, r-cran-devtools, r-cran-parmigene, r-bioc-biobase, r-bioc-affy, r-cran-testthat, r-bioc-annotationhub, r-bioc-experimenthub, r-cran-seurat, r-bioc-complexheatmap, r-cran-circlize, r-bioc-consensusclusterplus, r-cran-igraph, r-bioc-limma, r-bioc-edger, r-bioc-sva, r-bioc-edaseq, r-cran-survminer, r-bioc-genefilter, r-cran-gridextra, r-cran-survival, r-cran-doparallel, r-cran-ggrepel (>= 0.6.3), r-cran-scales
Size: 6493552
SHA256: 12fe743a1642ba5b62dfa4cfde79292b21bb3a894ff5ca1db42a914abcf36ac4
SHA1: cdd429f7b178e205fc63e8fef88d96d4e6e238eb
MD5sum: 4a2e550479089f153293420144deb68b
Description: GNU R/Bioconductor package for integrative analysis with GDC data
The aim of TCGAbiolinks is:
1) facilitate the GDC open-access data retrieval,
2) prepare the data using the appropriate pre-processing strategies,
3) provide the means to carry out different standard analyses and
4) to easily reproduce earlier research results.
In more detail, the package provides multiple methods for analysis (e.g.,
differential expression analysis, identifying differentially methylated
regions) and methods for visualization (e.g., survival plots, volcano plots,
starburst plots) in order to easily develop complete analysis pipelines.
Description-md5: a12bea649d7df136b7f6898c8a08d8c7
Homepage: https://bioconductor.org/packages/TCGAbiolinks/
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-bioc-tcgabiolinks/r-bioc-tcgabiolinks_2.24.3+dfsg-1_all.deb