This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

Menu

Documentation:

R / CRAN packages and documentation

Support

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

BiocSet

Representing Different Biological Sets

Bioconductor version: Release (3.17)

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.morrell at roswellpark.org>

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

Installation

To install this package, start R (version "4.3") and enter: 

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

BiocManager::install("BiocSet")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("BiocSet")
BiocSet: Representing Element Sets in the Tidyverse HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews GO, GeneExpression, KEGG, Software
Version 1.14.0
In Bioconductor since BioC 3.10 (R-3.6) (4 years)
License Artistic-2.0
Depends R (>= 3.6), dplyr
Imports methods, tibble, utils, rlang, plyr, S4Vectors, BiocIO, AnnotationDbi, KEGGREST, ontologyIndex, tidyr
Linking To
Suggests GSEABase, airway, org.Hs.eg.db, DESeq2, limma, BiocFileCache, GO.db, testthat, knitr, rmarkdown, BiocStyle
System Requirements
Enhances
URL
See More
Depends On Me RegEnrich
Imports Me CBEA, sparrow
Suggests Me dearseq
Links To Me
Build Report  

Package Archives

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

Source Package BiocSet_1.14.0.tar.gz
Windows Binary BiocSet_1.14.0.zip
macOS Binary (x86_64) BiocSet_1.14.0.tgz
macOS Binary (arm64) BiocSet_1.14.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/BiocSet
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BiocSet
Bioc Package Browser https://code.bioconductor.org/browse/BiocSet/
Package Short Url https://bioconductor.org/packages/BiocSet/
Package Downloads Report Download Stats