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

Last updated: May 17,2024

1. Install "r-bioc-monocle" package

This tutorial shows how to install r-bioc-monocle on Kali Linux

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

2. Uninstall "r-bioc-monocle" package

Please follow the step by step instructions below to uninstall r-bioc-monocle on Kali Linux:

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

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

Package: r-bioc-monocle
Version: 2.30.0-1
Installed-Size: 1657
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-api-bioc-3.18, r-cran-matrix (>= 1.2-6), r-bioc-biobase, r-cran-ggplot2 (>= 1.0.0), r-cran-vgam (>= 1.0-6), r-cran-ddrtree (>= 0.1.4), r-cran-igraph (>= 1.0.1), r-bioc-biocgenerics, r-bioc-hsmmsinglecell (>= 0.101.5), r-cran-plyr, r-cran-cluster, r-cran-combinat, r-cran-fastica, r-cran-irlba (>= 2.0.0), r-cran-matrixstats, r-cran-rtsne, r-cran-mass, r-cran-reshape2, r-cran-leidenbase (>= 0.1.9), r-bioc-limma, r-cran-tibble, r-cran-dplyr, r-cran-qlcmatrix, r-cran-pheatmap, r-cran-stringr, r-cran-proxy, r-cran-slam, r-cran-viridis, r-bioc-biocviews, r-cran-rann (>= 2.5), r-cran-rcpp (>= 0.12.0), libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 13.1)
Suggests: r-cran-hmisc, r-cran-knitr, r-cran-seurat, r-bioc-scater, r-cran-testthat
Size: 1425716
SHA256: 46e468c17874b96e1bf93e5a8d7ca3cca488194cd49dd0c03bd1e4b134ed6592
SHA1: 602b2c109284a2e231d008afb1a606984f618251
MD5sum: 19dd10bd735834ba5e44817b9571ad25
Description: clustering, differential expression, and trajectory analysis for RNA-Seq
Monocle performs differential expression and time-series analysis
for single-cell expression experiments. It orders individual cells
according to progress through a biological process, without knowing ahead
of time which genes define progress through that process. Monocle also
performs differential expression analysis, clustering, visualization, and
other useful tasks on single cell expression data. It is designed to work
with RNA-Seq and qPCR data, but could be used with other types as well.
Description-md5:
Homepage: https://bioconductor.org/packages/monocle/
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-bioc-monocle/r-bioc-monocle_2.30.0-1_amd64.deb