This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see Risa.
Bioconductor version: 3.8
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")
):
To install this package, start R (version "3.5") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("Risa")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Risa")
R Script | Risa: converts experimental metadata from ISA-tab into Bioconductor data structures | |
Reference Manual | ||
Text | NEWS |
biocViews | Annotation, DataImport, MassSpectrometry, Software |
Version | 1.24.0 |
In Bioconductor since | BioC 2.11 (R-2.15) (6.5 years) |
License | LGPL |
Depends | R (>= 2.0.9), Biobase(>= 2.4.0), methods, Rcpp (>= 0.9.13), biocViews, affy |
Imports | xcms |
LinkingTo | |
Suggests | faahKO(>= 1.2.11) |
SystemRequirements | |
Enhances | |
URL | http://www.isa-tools.org/ |
BugReports | https://github.com/ISA-tools/Risa/issues |
Depends On Me | |
Imports Me | |
Suggests Me | mtbls2 |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | Risa_1.24.0.tar.gz |
Windows Binary | Risa_1.24.0.zip |
Mac OS X 10.11 (El Capitan) | Risa_1.24.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/Risa |
Source Repository (Developer Access) | git clone [email protected]:packages/Risa |
Package Short Url | http://bioconductor.org/packages/Risa/ |
Package Downloads Report | Download Stats |
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