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Rega

R Interface to European Genome-Phenome Archive

Bioconductor version: 3.24 · Package version: 1.1.1

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

The European Genome-phenome Archive (EGA) provides long-term storage and controlled sharing of personally identifiable genetic data. The Rega package offers a streamlined and extensible R interface to the EGA API, facilitating the programmatic upload of metadata. GEO-like Excel submission template is provided as a default method of organizing submission metadata.

DOI: 10.18129/B9.bioc.Rega

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("Rega")

Details

MaintainerIgor Cervenka <igor.cervenka@unibas.ch>
AuthorIgor Cervenka [aut, cre] (ORCID: <https://orcid.org/0000-0002-9438-5161>), Athimed El Taher [aut] (ORCID: <https://orcid.org/0000-0003-2424-8476>), Robert Ivanek [aut] (ORCID: <https://orcid.org/0000-0002-8403-056X>)
LicenseArtistic-2.0
URLhttps://github.com/ivanek/Rega
Bug Reportshttps://github.com/ivanek/Rega/issues
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsInfrastructure, Software, ThirdPartyClient
Package Short Url https://bioconductor.org/packages/Rega/

Citation

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

Igor Cervenka, Athimed El Taher, Robert Ivanek. Rega: R Interface to European Genome-Phenome Archive. doi:10.18129/B9.bioc.Rega, R package version 1.1.1, https://bioconductor.org/packages/Rega.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

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

Source packageRega_1.1.1.tar.gz
Windows binary (x86_64)Rega_1.1.1.zip
macOS binary (arm64)Rega_1.1.1.tgz
macOS binary (x86_64)Rega_1.1.1.tgz
Dependencies

Depends: R (>= 4.5)

Imports: askpass, httr2, jsonlite, jsonvalidate, keyring, readxl, rlang, stringr, tibble, tidyr, validate, yaml

Suggests: BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0)