How to Install and Uninstall r-bioc-dada2 Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 20,2024

1. Install "r-bioc-dada2" package

This guide covers the steps necessary to install r-bioc-dada2 on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install r-bioc-dada2

2. Uninstall "r-bioc-dada2" package

Please follow the step by step instructions below to uninstall r-bioc-dada2 on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove r-bioc-dada2 $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-bioc-dada2 package on Ubuntu 21.10 (Impish Indri)

Package: r-bioc-dada2
Architecture: amd64
Version: 1.18.0+dfsg-1
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: 2181
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-api-bioc-3.12, r-cran-rcpp (>= 0.12.0), r-bioc-biostrings (>= 2.42.1), r-cran-ggplot2 (>= 2.1.0), r-cran-reshape2 (>= 1.4.1), r-bioc-shortread (>= 1.32.0), r-cran-rcppparallel (>= 4.3.0), r-bioc-iranges (>= 2.6.0), r-bioc-xvector (>= 0.16.0), r-bioc-biocgenerics (>= 0.22.0), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2), libtbb2 (>= 2017~U7)
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown
Filename: pool/universe/r/r-bioc-dada2/r-bioc-dada2_1.18.0+dfsg-1_amd64.deb
Size: 1881860
MD5sum: 263c6260d2621ab4ca22f8e8d52e68d2
SHA1: fa36624ec64556f5e1934433697a4f2a85eb8b43
SHA256: ff64d6f6572160153d33a2883ac03556c6ae9df72a7608a320a63a83d28d6d15
SHA512: a00f5ddb904f801e506d4766237012859d9fa88f3502800e5208270fe2aa56be9cbfb90f216cde21925c1097d3a902bac78285af5071b71a264371740f44b3ef
Homepage: https://bioconductor.org/packages/dada2/
Description-en: sample inference from amplicon sequencing data
The dada2 package contributes to software workflows to interpret
sequencing data from microbiota - the relative abundance of
bacterial and/or yeast, typically measured in the gut.
It infers exact amplicon sequence
variants (ASVs) from high-throughput amplicon sequencing data,
replacing the coarser and less accurate OTU clustering approach.
The dada2 pipeline takes as input demultiplexed fastq files, and
outputs the sequence variants and their sample-wise abundances
after removing substitution and chimera errors. Taxonomic
classification is available via a native implementation of the RDP
naive Bayesian classifier, and species-level assignment to 16S
rRNA gene fragments by exact matching.
Description-md5: 3fa0d6dceb2f30972ee5a7c11349bf26