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A unified framework for working transparently with on-disk and in-memory array-like datasets

Bioconductor version: Release (3.19)

Wrapping an array-like object (typically an on-disk object) in a DelayedArray object allows one to perform common array operations on it without loading the object in memory. In order to reduce memory usage and optimize performance, operations on the object are either delayed or executed using a block processing mechanism. Note that this also works on in-memory array-like objects like DataFrame objects (typically with Rle columns), Matrix objects, ordinary arrays and, data frames.

Author: Hervé Pagès [aut, cre], Aaron Lun [ctb], Peter Hickey [ctb]

Maintainer: Hervé Pagès <hpages.on.github at>

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


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:

1. Working with large arrays in R (slides from July 2017) PDF R Script
2. Implementing A DelayedArray Backend HTML
3. A DelayedArray / HDF5Array update (slides from April 2021) PDF R Script
Reference Manual PDF


biocViews Annotation, DataRepresentation, GenomeAnnotation, Infrastructure, Software
Version 0.30.1
In Bioconductor since BioC 3.5 (R-3.4) (7 years)
License Artistic-2.0
Depends R (>= 4.0.0), methods, stats4, Matrix, BiocGenerics(>= 0.43.4), MatrixGenerics(>= 1.1.3), S4Vectors(>= 0.27.2), IRanges(>= 2.17.3), S4Arrays(>= 1.3.5), SparseArray(>= 1.1.10)
Imports stats
System Requirements
Bug Reports
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Suggests BiocParallel, HDF5Array(>= 1.17.12), genefilter, SummarizedExperiment, airway, lobstr, DelayedMatrixStats, knitr, rmarkdown, BiocStyle, RUnit
Linking To S4Vectors
Depends On Me chihaya, DelayedDataFrame, DelayedMatrixStats, DelayedRandomArray, GDSArray, HDF5Array, rhdf5client, SCArray, singleCellTK, SQLDataFrame, TileDBArray, VCFArray, restfulSEData
Imports Me adverSCarial, alabaster.matrix, AUCell, batchelor, beachmat, beachmat.hdf5, BiocSingular, bsseq, CAGEr, celaref, celda, Cepo, ChromSCape, clusterExperiment, concordexR, CRISPRseek, cytomapper, decontX, DelayedTensor, DEScan2, dreamlet, DropletUtils, ELMER, EWCE, flowWorkspace, FRASER, GenomicScores, glmGamPoi, GSVA, hipathia, LoomExperiment, Macarron, mariner, mbkmeans, methodical, MethReg, methrix, methylSig, mia, miaViz, minfi, MOFA2, MuData, MultiAssayExperiment, mumosa, NetActivity, netSmooth, NewWave, orthogene, orthos, PCAtools, ResidualMatrix, RTCGAToolbox, ScaledMatrix, SCArray.sat, scater, scDblFinder, scFeatures, scMerge, scmeth, scPCA, scran, scry, scuttle, signatureSearch, SingleCellAlleleExperiment, SingleCellExperiment, SingleR, sketchR, SpliceWiz, SummarizedExperiment, transformGamPoi, TSCAN, VariantExperiment, velociraptor, weitrix, xcore, zellkonverter, ZygosityPredictor, celldex, imcdatasets, scMultiome, scRNAseq, ebvcube, scDiffCom
Suggests Me BiocGenerics, ChIPpeakAnno, gwascat, hermes, iSEE, lute, MAST, MatrixGenerics, ProteoDisco, S4Arrays, S4Vectors, satuRn, SparseArray, SPOTlight, TrajectoryUtils, digitalDLSorteR, Seurat, SeuratObject, SpatialDDLS
Links To Me
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Follow Installation instructions to use this package in your R session.

Source Package DelayedArray_0.30.1.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) DelayedArray_0.30.1.tgz
macOS Binary (arm64) DelayedArray_0.30.1.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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