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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: Development (3.24)

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>

Citation (from within R, enter citation("BiocDuckDB")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

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.

Documentation

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

browseVignettes("BiocDuckDB")
1. Introduction to BiocDuckDB HTML R Script
2. Benchmarking BiocDuckDB HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews DataImport, DataRepresentation, Infrastructure, RNASeq, Sequencing, SingleCell, Software
Version 0.99.22
In Bioconductor since BioC 3.24 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.6.0), methods, stats, DuckDBDataFrame, DuckDBArray, DuckDBGRanges
Imports BiocGenerics, BiocParallel, S4Vectors, IRanges, GenomicRanges, SparseArray, DelayedArray, MatrixGenerics, SummarizedExperiment, SingleCellExperiment, MultiAssayExperiment, MultiAssaySpatialExperiment, metapod, scran, scuttle, DBI, dplyr, dbplyr, duckdb, arrow, jsonlite
System Requirements
URL https://github.com/Genentech/BiocDuckDB
Bug Reports https://github.com/Genentech/BiocDuckDB/issues
See More
Suggests knitr, rmarkdown, BiocStyle, testthat, jsonvalidate, grDevices, Matrix, matrixStats, nanoparquet, png, sf, sfarrow, S4Arrays, SpatialExperiment, DuckDBSpatial, ExperimentHub, HDF5Array, ZarrArray, scater, airway, scRNAseq
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Package Archives

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

Source Package BiocDuckDB_0.99.22.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64) BiocDuckDB_0.99.22.tgz
macOS Binary (sonoma-arm64)
Source Repository git clone https://git.bioconductor.org/packages/BiocDuckDB
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BiocDuckDB
Bioc Package Browser https://code.bioconductor.org/browse/BiocDuckDB/
Package Short Url https://bioconductor.org/packages/BiocDuckDB/
Package Downloads Report Download Stats