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.
|     | 
This package is for version 3.0 of Bioconductor; for the stable, up-to-date release version, see Risa.
Bioconductor version: 3.0
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, ISA Team <isatools at googlegroups.com>
Citation (from within R,
      enter citation("Risa")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Risa")
    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 | 1.8.0 | 
| In Bioconductor since | BioC 2.11 (R-2.15) (3.5 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://isatab.sourceforge.net/ | 
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Package Source | Risa_1.8.0.tar.gz | 
| Windows Binary | Risa_1.8.0.zip | 
| Mac OS X 10.6 (Snow Leopard) | Risa_1.8.0.tgz | 
| Mac OS X 10.9 (Mavericks) | Risa_1.8.0.tgz | 
| Subversion source | (username/password: readonly) | 
| Git source | https://github.com/Bioconductor-mirror/Risa/tree/release-3.0 | 
| Package Short Url | http://bioconductor.org/packages/Risa/ | 
| Package Downloads Report | Download Stats | 
 
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