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h5mread

This is the released version of h5mread; for the devel version, see h5mread.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21

A fast HDF5 reader


Bioconductor version: Release (3.23)

The main function in the h5mread package is h5mread(), which allows reading arbitrary data from an HDF5 dataset into R, similarly to what the h5read() function from the rhdf5 package does. In the case of h5mread(), the implementation has been optimized to make it as fast and memory-efficient as possible.

Author: Hervé Pagès [aut, cre] ORCID iD ORCID: 0009-0002-8272-4522

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

Citation (from within R, enter citation("h5mread")):

Hervé Pagès. h5mread: A fast HDF5 reader. doi:10.18129/B9.bioc.h5mread, R package version 1.4.1, https://bioconductor.org/packages/h5mread.

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")

BiocManager::install("h5mread")

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("h5mread")
The h5mread package HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews DataImport, DataRepresentation, Infrastructure, Software
Version1.4.1
In Bioconductor sinceBioC 3.21 (R-4.5) (1.5 years)
License Artistic-2.0
Depends R (>= 4.5), methods, rhdf5, BiocGenerics, SparseArray
Imports stats, tools, rhdf5filters, S4Vectors (>= 0.50.2), IRanges, S4Arrays
System RequirementsGNU make
URLhttps://bioconductor.org/packages/h5mread
Bug Reportshttps://github.com/Bioconductor/h5mread/issues
See More
Suggests BiocParallel, ExperimentHub, TENxBrainData, HDF5Array, testthat, knitr, rmarkdown, BiocStyle
Linking To Rhdf5lib, S4Vectors
Enhances
Depends On Me HDF5Array
Imports Me SpliceWiz
Suggests Me MultiAssayExperiment
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package h5mread_1.4.1.tar.gz
Windows Binary (x86_64) h5mread_1.4.1.zip
macOS Binary (big-sur-x86_64) h5mread_1.4.1.tgz
macOS Binary (sonoma-arm64) h5mread_1.4.1.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/h5mread
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/h5mread
Package Short Url https://bioconductor.org/packages/h5mread/
Package Downloads ReportDownload Stats
Old Source Packages for BioC 3.23Source Archive