How to Install and Uninstall r-bioc-nanostringqcpro Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 20,2024

1. Install "r-bioc-nanostringqcpro" package

Please follow the instructions below to install r-bioc-nanostringqcpro on Ubuntu 20.10 (Groovy Gorilla)

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

2. Uninstall "r-bioc-nanostringqcpro" package

This guide let you learn how to uninstall r-bioc-nanostringqcpro on Ubuntu 20.10 (Groovy Gorilla):

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

3. Information about the r-bioc-nanostringqcpro package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-bioc-nanostringqcpro
Architecture: all
Version: 1.20.0-1build1
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: 707
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-api-bioc-3.11, r-bioc-annotationdbi (>= 1.26.0), r-bioc-org.hs.eg.db (>= 2.14.0), r-bioc-biobase (>= 2.24.0), r-cran-knitr (>= 1.12), r-cran-nmf (>= 0.20.5), r-cran-rcolorbrewer (>= 1.0-5), r-cran-png (>= 0.1-7)
Suggests: r-cran-roxygen2 (>= 4.0.1), r-cran-testthat, r-cran-rmarkdown
Filename: pool/universe/r/r-bioc-nanostringqcpro/r-bioc-nanostringqcpro_1.20.0-1build1_all.deb
Size: 463048
MD5sum: 9ff4d618dc12c0077472f601c06f3c42
SHA1: 52397969858cd16d034239e0ce249919ce127d06
SHA256: 7e6c87c77eb4c4cb0caa17112162e2da32419d8aade70c8b993cdd08a8c99bf9
SHA512: f005c9b17a71d8f88e6f4366ba8e1109e09d20d13371a0bbdde08ae27cd9713f0cdfadac0a9f405504811c48ec349f4daaa55df92ce00d998c0ae982ec57344c
Homepage: https://bioconductor.org/packages/NanoStringQCPro/
Description-en: processing and QA for NanoString mRNA expression data
NanoStringQCPro provides a set of quality metrics that can
be used to assess the quality of NanoString mRNA gene
expression data -- i.e. to identify outlier probes and outlier
samples. It also provides different background subtraction and
normalization approaches for this data. It outputs suggestions
for flagging samples/probes and an easily sharable html quality
control output.
Description-md5: ee8fee9f4de4c76d9993356e0990d7fb