Risa

This package is for version 3.19 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see Risa.

Converting experimental metadata from ISA-tab into Bioconductor data structures

Bioconductor version: 3.19

The Investigation / Study / Assay (ISA) tab-delimited format is a general purpose framework with which to collect and communicate complex metadata (i.e. sample characteristics, technologies used, type of measurements made) from experiments employing a combination of technologies, spanning from traditional approaches to high-throughput techniques. Risa allows to access metadata/data in ISA-Tab format and build Bioconductor data structures. Currently, data generated from microarray, flow cytometry and metabolomics-based (i.e. mass spectrometry) assays are supported. The package is extendable and efforts are undergoing to support metadata associated to proteomics assays.

Author: Alejandra Gonzalez-Beltran, Audrey Kauffmann, Steffen Neumann, Gabriella Rustici, ISA Team

Maintainer: Alejandra Gonzalez-Beltran <alejandra.gonzalez.beltran at gmail.com>

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

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("Risa")

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

Documentation


Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Annotation, DataImport, MassSpectrometry, Software
Version	1.46.0
In Bioconductor since	BioC 2.11 (R-2.15) (12 years)
License	LGPL
Depends	R (>= 2.0.9), Biobase(>= 2.4.0), methods, Rcpp (>= 0.9.13), biocViews, affy
Imports	xcms
System Requirements
URL	http://www.isa-tools.org/
Bug Reports	https://github.com/ISA-tools/Risa/issues

Suggests	faahKO(>= 1.2.11)
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Build Report	Build Report

Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/Risa
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/Risa
Package Short Url	https://bioconductor.org/packages/Risa/
Package Downloads Report	Download Stats