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

Last updated: May 14,2024

1. Install "r-bioc-ggbio" package

Here is a brief guide to show you how to install r-bioc-ggbio on Kali Linux

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

2. Uninstall "r-bioc-ggbio" package

Learn how to uninstall r-bioc-ggbio on Kali Linux:

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

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

Package: r-bioc-ggbio
Version: 1.50.0-1
Installed-Size: 4232
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-api-4.0, r-api-bioc-3.18, r-bioc-biocgenerics, r-cran-ggplot2 (>= 1.0.0), r-cran-gridextra, r-cran-scales, r-cran-reshape2, r-cran-gtable, r-cran-hmisc, r-bioc-biovizbase (>= 1.29.2), r-bioc-biobase, r-bioc-s4vectors (>= 0.13.13), r-bioc-iranges (>= 2.11.16), r-bioc-genomeinfodb (>= 1.1.3), r-bioc-genomicranges (>= 1.29.14), r-bioc-summarizedexperiment, r-bioc-biostrings, r-bioc-rsamtools (>= 1.17.28), r-bioc-genomicalignments (>= 1.1.16), r-bioc-bsgenome, r-bioc-variantannotation (>= 1.11.4), r-bioc-rtracklayer (>= 1.25.16), r-bioc-genomicfeatures (>= 1.29.11), r-bioc-organismdbi, r-cran-ggally, r-bioc-ensembldb (>= 1.99.13), r-bioc-annotationdbi, r-bioc-annotationfilter, r-cran-rlang
Suggests: r-cran-knitr, r-bioc-biocstyle, r-cran-testthat, r-cran-tinytex
Size: 2947572
SHA256: dcdfd34b77d34dd4337e51bf8def1f9d6ff244e0c037481b6bdc40a8d74d3076
SHA1: dc0268d9d38194cff8cf58e53bf01d27b07da67f
MD5sum: 10070cd386f716b34c76fde31cf0de21
Description: Visualization tools for genomic data
The ggbio package extends and specializes the grammar of
graphics for biological data. The graphics are designed to
answer common scientific questions, in particular those often
asked of high throughput genomics data. All core Bioconductor
data structures are supported, where appropriate. The package
supports detailed views of particular genomic regions, as well
as genome-wide overviews. Supported overviews include ideograms
and grand linear views. High-level plots include sequence
fragment length, edge-linked interval to data view, mismatch
pileup, and several splicing summaries.
Description-md5:
Homepage: https://bioconductor.org/packages/ggbio/
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-bioc-ggbio/r-bioc-ggbio_1.50.0-1_all.deb