Risa
This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see Risa.
Converting experimental metadata from ISA-tab into Bioconductor data structures
Bioconductor version: 3.17
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 "4.3") 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
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Risa")| Risa: converts experimental metadata from ISA-tab into Bioconductor data structures | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Annotation, DataImport, MassSpectrometry, Software |
| Version | 1.42.0 |
| In Bioconductor since | BioC 2.11 (R-2.15) (11.5 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 | |
| Suggests Me | mtbls2 |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | Risa_1.42.0.tar.gz |
| Windows Binary | Risa_1.42.0.zip |
| macOS Binary (x86_64) | Risa_1.42.0.tgz |
| macOS Binary (arm64) | Risa_1.42.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/Risa |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/Risa |
| Bioc Package Browser | https://code.bioconductor.org/browse/Risa/ |
| Package Short Url | https://bioconductor.org/packages/Risa/ |
| Package Downloads Report | Download Stats |
| Old Source Packages for BioC 3.17 | Source Archive |