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BiocDuckDB

This is the development version of BiocDuckDB; to use it, please install the devel version of Bioconductor.

Bioconductor DuckDB Integration and High-Level I/O

Bioconductor version: 3.24 · Package version: 0.99.25

Integration package providing high-level Parquet I/O functions and optimized methods for single-cell analysis workflows using DuckDB-backed data structures. Includes readParquet and writeParquet functions for seamless serialization of SummarizedExperiment, SingleCellExperiment, MultiAssayExperiment, and MultiAssaySpatialExperiment objects, plus SQL-optimized implementations of scran and scuttle methods for variance modeling, marker detection, QC metrics, and normalization. This package brings together DuckDBDataFrame, DuckDBArray, DuckDBGRanges, and DuckDBSpatial (optional) for complete Bioconductor integration.

Author: Patrick Aboyoun [aut, cre], Genentech, Inc. [cph]

Maintainer: Patrick Aboyoun <aboyounp at gene.com>

DOI: 10.18129/B9.bioc.BiocDuckDB

Citation

From within R, enter citation("BiocDuckDB"):

Patrick Aboyoun. BiocDuckDB: Bioconductor DuckDB Integration and High-Level I/O. doi:10.18129/B9.bioc.BiocDuckDB, R package version 0.99.25, https://bioconductor.org/packages/BiocDuckDB.

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("BiocDuckDB")

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

Details

Version0.99.25
LicenseMIT + file LICENSE
URLhttps://github.com/Genentech/BiocDuckDB
Bug Reportshttps://github.com/Genentech/BiocDuckDB/issues
Last updated2026-09-30
In Bioconductor sinceBioC 3.24 (R-4.6)
Downloads rank2438 of 2,456
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsDataImport, DataRepresentation, Infrastructure, RNASeq, Sequencing, SingleCell, Software
Package Short Url https://bioconductor.org/packages/BiocDuckDB/

Documentation

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

browseVignettes("BiocDuckDB")
Introduction to BiocDuckDB HTML R Script
Benchmarking BiocDuckDB HTML R Script
Reference ManualPDF
NEWSText

Download

Follow the installation instructions to use this package in your R session.

Source packageBiocDuckDB_0.99.25.tar.gz
Windows binary (x86_64)BiocDuckDB_0.99.24.zip
macOS binary (arm64)BiocDuckDB_0.99.24.tgz
macOS binary (x86_64)BiocDuckDB_0.99.25.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/BiocDuckDB
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/BiocDuckDB
Package Downloads ReportDownload Stats
Dependencies

Depends: R (>= 4.5.0), methods, stats, DuckDBDataFrame, DuckDBArray, DuckDBGRanges

Imports: BiocGenerics, BiocParallel, Matrix, S4Vectors, IRanges, GenomicRanges, SparseArray, DelayedArray, MatrixGenerics, SummarizedExperiment, SingleCellExperiment, MultiAssayExperiment, MultiAssaySpatialExperiment, metapod, beachmat, BiocSingular, scran, scuttle, DBI, dplyr, dbplyr, duckdb, arrow, jsonlite

Suggests: knitr, rmarkdown, BiocStyle, testthat, jsonvalidate, grDevices, matrixStats, nanoparquet, png, sf, sfarrow, S4Arrays, SpatialExperiment, DuckDBSpatial, ExperimentHub, HDF5Array, ZarrArray, irlba, scater, airway, scRNAseq