DOI: 10.18129/B9.bioc.AnnotationHubData    

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

Transform public data resources into Bioconductor Data Structures

Bioconductor version: Development (3.17)

These recipes convert a wide variety and a growing number of public bioinformatic data sets into easily-used standard Bioconductor data structures.

Author: Martin Morgan [ctb], Marc Carlson [ctb], Dan Tenenbaum [ctb], Sonali Arora [ctb], Paul Shannon [ctb], Lori Shepherd [ctb], Bioconductor Package Maintainer [cre]

Maintainer: Bioconductor Package Maintainer <maintainer at>

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


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

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


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biocViews DataImport, Software
Version 1.29.0
In Bioconductor since BioC 3.2 (R-3.2) (7 years)
License Artistic-2.0
Depends R (>= 3.2.2), methods, utils, S4Vectors(>= 0.7.21), IRanges(>= 2.3.23), GenomicRanges, AnnotationHub(>= 2.15.15)
Imports GenomicFeatures, Rsamtools, rtracklayer, BiocGenerics, jsonlite, BiocManager, biocViews, BiocCheck, graph, AnnotationDbi, Biobase, Biostrings, DBI, GenomeInfoDb(>= 1.15.4), OrganismDbi, RSQLite, AnnotationForge, futile.logger (>= 1.3.0), XML, RCurl
Suggests RUnit, knitr, BiocStyle, grasp2db, GenomeInfoDbData, rmarkdown, HubPub
Depends On Me ExperimentHubData
Imports Me
Suggests Me HubPub
Links To Me
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