Risa
This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.
This package is for version 3.20 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: Release (3.20)
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("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 |
Details
biocViews | Annotation, DataImport, MassSpectrometry, Software |
Version | 1.48.0 |
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 |
See More
Suggests | faahKO(>= 1.2.11) |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
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Links To Me | |
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 |