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pgxRpi

This is the development version of pgxRpi; for the stable release version, see pgxRpi.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19

R wrapper for Progenetix


Bioconductor version: Development (3.24)

The package is an R wrapper for Progenetix REST API built upon the Beacon v2 protocol. Its purpose is to provide a seamless way for retrieving genomic data from Progenetix database—an open resource dedicated to curated oncogenomic profiles. Empowered by this package, users can effortlessly access and visualize data from Progenetix.

Author: Hangjia Zhao [aut, cre] ORCID iD ORCID: 0000-0001-8376-5751 , Michael Baudis [aut] ORCID iD ORCID: 0000-0002-9903-4248

Maintainer: Hangjia Zhao <hangjia.zhao at uzh.ch>

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

Hangjia Zhao, Michael Baudis. pgxRpi: R wrapper for Progenetix. doi:10.18129/B9.bioc.pgxRpi, R package version 1.9.0, https://bioconductor.org/packages/pgxRpi.

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("pgxRpi")

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

Documentation

No vignettes available
Reference ManualPDF

Details

biocViews CopyNumberVariation, DataImport, GenomicVariation, Software
Version1.9.0
In Bioconductor sinceBioC 3.19 (R-4.4) (2.5 years)
License Artistic-2.0
Depends R (>= 4.2)
Imports utils, methods, grDevices, graphics, circlize, httr, dplyr, attempt, lubridate, survival, survminer, ggplot2, GenomicRanges, SummarizedExperiment, S4Vectors, yaml, parallel, future, future.apply
System Requirements
URLhttps://github.com/progenetix/pgxRpi
Bug Reportshttps://github.com/progenetix/pgxRpi/issues
See More
Suggests BiocStyle, rmarkdown, knitr, testthat
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Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/pgxRpi
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/pgxRpi
Package Short Url https://bioconductor.org/packages/pgxRpi/
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