BiocSet

This is the development version of BiocSet; for the stable release version, see BiocSet.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10

Representing Different Biological Sets

Bioconductor version: Development (3.24)

BiocSet displays different biological sets in a triple tibble format. These three tibbles are `element`, `set`, and `elementset`. The user has the abilty to activate one of these three tibbles to perform common functions from the dplyr package. Mapping functionality and accessing web references for elements/sets are also available in BiocSet.

Author: Kayla Morrell [aut, cre], Martin Morgan [aut], Kevin Rue-Albrecht [ctb], Lluís Revilla Sancho [ctb]

Maintainer: Kayla Morrell <kayla.morrell16 at gmail.com>

Citation (from within R, enter citation("BiocSet")):

Kayla Morrell, Martin Morgan. BiocSet: Representing Different Biological Sets. doi:10.18129/B9.bioc.BiocSet, R package version 1.27.0, https://bioconductor.org/packages/BiocSet.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("BiocSet")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

No vignettes available
Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	GO, GeneExpression, KEGG, Software
Version	1.27.0
In Bioconductor since	BioC 3.10 (R-3.6) (7 years)
License	Artistic-2.0
Depends	R (>= 3.6), dplyr
Imports	methods, tibble, utils, rlang, plyr, S4Vectors, BiocIO, AnnotationDbi, KEGGREST, ontologyIndex, tidyr
System Requirements
URL

Suggests	GSEABase, airway, org.Hs.eg.db, DESeq2, limma, BiocFileCache, GO.db, testthat, knitr, rmarkdown, BiocStyle
Linking To
Enhances
Depends On Me	RegEnrich
Imports Me	plaid, sparrow
Suggests Me	citcdf, dearseq
Links To Me
Build Report	Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repository	git clone https://git.bioconductor.org/packages/BiocSet
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/BiocSet
Package Short Url	https://bioconductor.org/packages/BiocSet/
Package Downloads Report	Download Stats