Package: Risa
Version: 1.36.0
Date: 2013-08-15
Title: Converting experimental metadata from ISA-tab into Bioconductor
        data structures
Author: Alejandra Gonzalez-Beltran, Audrey Kauffmann, Steffen Neumann, Gabriella Rustici, ISA Team
Maintainer: Alejandra Gonzalez-Beltran <alejandra.gonzalez.beltran@gmail.com>
Depends: R (>= 2.0.9), Biobase (>= 2.4.0), methods, Rcpp (>= 0.9.13),
        biocViews, affy
Imports: xcms
Suggests: faahKO (>= 1.2.11)
Description: 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.
License: LGPL
biocViews: Annotation, DataImport, MassSpectrometry
URL: http://www.isa-tools.org/
BugReports: https://github.com/ISA-tools/Risa/issues
git_url: https://git.bioconductor.org/packages/Risa
git_branch: RELEASE_3_14
git_last_commit: e0c196c
git_last_commit_date: 2021-10-26
Date/Publication: 2021-10-26
NeedsCompilation: no
Packaged: 2021-10-26 22:34:38 UTC; biocbuild
Built: R 4.1.2; ; 2022-02-28 05:05:06 UTC; unix
