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[ Quellcode: r-bioc-dada2  ]

Paket: r-bioc-dada2 (1.34.0+dfsg-2) [universe]

Links für r-bioc-dada2

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Ubuntu-Ressourcen:

Quellcode-Paket r-bioc-dada2 herunterladen:

Betreuer:

Please consider filing a bug or asking a question via Launchpad before contacting the maintainer directly.

Original Maintainers (usually from Debian):

  • Debian R Packages Maintainers
  • Steffen Moeller

It should generally not be necessary for users to contact the original maintainer.

Externe Ressourcen:

Ähnliche Pakete:

sample inference from amplicon sequencing data

Andere Pakete mit Bezug zu r-bioc-dada2

  • hängt ab von
  • empfiehlt
  • schlägt vor
  • enhances
  • dep: libc6 (>= 2.38)
    GNU C Library: Shared libraries
  • dep: libgcc-s1 (>= 3.0)
    GCC support library
  • dep: libstdc++6 (>= 14)
    GNU Standard C++ Library v3
  • dep: libtbb12 (>= 2021.4.0)
    parallelism library for C++ - runtime files
  • dep: r-api-4.0
    virtuelles Paket, bereitgestellt durch r-base-core
  • dep: r-api-bioc-3.20
    virtuelles Paket, bereitgestellt durch r-bioc-biocgenerics
  • dep: r-bioc-biocgenerics (>= 0.22.0)
    generic functions for Bioconductor
  • dep: r-bioc-biostrings (>= 2.42.1)
    GNU R string objects representing biological sequences
  • dep: r-bioc-iranges (>= 2.6.0)
    GNU R low-level containers for storing sets of integer ranges
  • dep: r-bioc-shortread (>= 1.32.0)
    GNU R classes and methods for high-throughput short-read sequencing data
  • dep: r-bioc-xvector (>= 0.16.0)
    BioConductor representation and manpulation of external sequences
  • dep: r-cran-ggplot2 (>= 2.1.0)
    implementation of the Grammar of Graphics
  • dep: r-cran-rcpp (>= 0.12.0)
    GNU R package for Seamless R and C++ Integration
  • dep: r-cran-rcppparallel (>= 4.3.0)
    parallel programming tools for Rcpp
  • dep: r-cran-reshape2 (>= 1.4.1)
    Flexibly reshape data: a reboot of the reshape package
  • sug: r-bioc-biocstyle
    standard styles for vignettes and other Bioconductor documents
  • sug: r-cran-knitr
    GNU R package for dynamic report generation using Literate Programming
  • sug: r-cran-rmarkdown
    convert R markdown documents into a variety of formats

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