To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Risa")
In most cases, you don't need to download the package archive at all.
Risa
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Converting experimental metadata from ISA-tab into Bioconductor data structures
Bioconductor version: Release (3.4)
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 and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Risa")
Documentation
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 |
Details
| biocViews | Annotation, DataImport, MassSpectrometry, Software |
| Version | 1.16.0 |
| In Bioconductor since | BioC 2.11 (R-2.15) (4.5 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 |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | Risa_1.16.0.tar.gz |
| Windows Binary | Risa_1.16.0.zip |
| Mac OS X 10.9 (Mavericks) | Risa_1.16.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/Risa/tree/release-3.4 |
| Package Short Url | http://bioconductor.org/packages/Risa/ |
| Package Downloads Report | Download Stats |
Documentation »
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