Package: r-bioc-biocgenerics (0.50.0-2)

[ Source: r-bioc-biocgenerics  ]

generic functions for Bioconductor

S4 generic functions needed by many other Bioconductor packages.

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development.

Other Packages Related to r-bioc-biocgenerics

• dep: r-api-4.0

  virtual package provided by r-base-core

• sug: r-bioc-affy (>= 1.82.0)

  BioConductor methods for Affymetrix Oligonucleotide Arrays

• sug: r-bioc-annotate (>= 1.82.0)

  BioConductor annotation for microarrays

• sug: r-bioc-annotationdbi (>= 1.66.0)

  GNU R Annotation Database Interface for BioConductor

• sug: r-bioc-biobase (>= 2.64.0)

  base functions for Bioconductor

• sug: r-bioc-biostrings (>= 2.72.1)

  GNU R string objects representing biological sequences

• sug: r-bioc-delayedarray (>= 0.30.1)

  BioConductor delayed operations on array-like objects

• sug: r-bioc-deseq2 (>= 1.44.0)

  R package for RNA-Seq Differential Expression Analysis

• sug: r-bioc-genomicranges (>= 1.56.1)

  BioConductor representation and manipulation of genomic intervals

• sug: r-bioc-iranges (>= 2.38.1)

  GNU R low-level containers for storing sets of integer ranges

• sug: r-bioc-rsamtools (>= 2.20.0)

  GNU R binary alignment (BAM), variant call (BCF), or tabix file import

• sug: r-bioc-s4vectors (>= 0.42.1)

  BioConductor S4 implementation of vectors and lists

• sug: r-cran-runit

  GNU R package providing unit testing framework

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