How to Install and Uninstall r-bioc-scran Package on Ubuntu 23.10 (Mantic Minotaur)

Last updated: May 18,2024

1. Install "r-bioc-scran" package

Please follow the guidance below to install r-bioc-scran on Ubuntu 23.10 (Mantic Minotaur)

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

2. Uninstall "r-bioc-scran" package

Please follow the steps below to uninstall r-bioc-scran on Ubuntu 23.10 (Mantic Minotaur):

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

3. Information about the r-bioc-scran package on Ubuntu 23.10 (Mantic Minotaur)

Package: r-bioc-scran
Architecture: amd64
Version: 1.28.2+dfsg-2
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: 1371
Depends: r-api-4.0, r-api-bioc-3.17, r-bioc-singlecellexperiment, r-bioc-scuttle, r-bioc-summarizedexperiment, r-bioc-s4vectors, r-bioc-biocgenerics, r-bioc-biocparallel, r-cran-rcpp, r-cran-matrix, r-bioc-edger, r-bioc-limma, r-cran-igraph, r-cran-statmod, r-bioc-delayedarray, r-bioc-delayedmatrixstats, r-bioc-biocsingular, r-bioc-bluster, r-bioc-metapod, r-cran-dqrng, r-bioc-beachmat, r-cran-bh, libc6 (>= 2.29), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 13.1)
Suggests: r-cran-testthat, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-bioc-hdf5array, r-bioc-scrnaseq, r-cran-dynamictreecut, r-bioc-residualmatrix, r-bioc-scaledmatrix, r-bioc-deseq2, r-bioc-monocle, r-bioc-biobase, r-cran-pheatmap, r-bioc-scater
Filename: pool/universe/r/r-bioc-scran/r-bioc-scran_1.28.2+dfsg-2_amd64.deb
Size: 995040
MD5sum: 12113a1d4d3883d03dba08637d979fc0
SHA1: 9e401af3fb4a5f8d5765f8f1133898eb99b68dfc
SHA256: cf28cce5b6811bc54ae878d806de488c290eb99c2dc023b0c49c8e0be3a9658a
SHA512: e61bd66b9c0c8d99b62a0a866265cce42bee0d72397808ef246645e9a275ba84762c160649c46b3510545b56654b5d7237676b1e2bea671fa389b7ef4da085d7
Homepage: https://bioconductor.org/packages/scran/
Description: BioConductor methods for single-cell RNA-Seq data analysis
Description-md5: 8873d8c5d48b21b7a093c1d50f7a80b3