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Transform public data resources into Bioconductor Data Structures

Bioconductor version: Release (3.19)

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 "4.4") and enter:

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


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


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

Introduction to AnnotationHubData HTML
Reference Manual PDF


biocViews DataImport, Software
Version 1.34.0
In Bioconductor since BioC 3.2 (R-3.2) (9 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
System Requirements
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Suggests RUnit, knitr, BiocStyle, grasp2db, GenomeInfoDbData, rmarkdown, HubPub
Linking To
Depends On Me ExperimentHubData
Imports Me AHMassBank, AHEnsDbs, EuPathDB
Suggests Me HubPub, EPICv2manifest, GenomicState, homosapienDEE2CellScore, smokingMouse
Links To Me
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Package Archives

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

Source Package AnnotationHubData_1.34.0.tar.gz
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macOS Binary (x86_64) AnnotationHubData_1.34.0.tgz
macOS Binary (arm64) AnnotationHubData_1.34.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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