rsalek/Risa

Risa allows to access metadata/data in ISA-tab format and builds Bioconductor data structures. Currently, data generated from microarray and flow cytometry assays are supported. The package is extendable, and efforts are undergoing to support metadata associated to proteomics and metabolomics-based assays (i.e. mass spectrometry).

Risa is an R package that supports parsing, saving and updating ISA-tab datasets. It is available in Bioconductor 2.11 at http://www.bioconductor.org/packages/release/bioc/html/Risa.html.

• General info: http://isa-tools.org
• Tools' overview in this short paper: http://bioinformatics.oxfordjournals.org/content/26/18/2354.full.pdf+html
• Issue tracking and bug reporting: https://github.com/ISA-tools/Risa/issues
• Mainline source code: https://github.com/ISA-tools/Risa
• Twitter: @isatools
• IRC: irc://irc.freenode.net/#isatab
• Development blog

Development

Contributing

You should read this article about Git Flow: http://scottchacon.com/2011/08/31/github-flow.html. It's a really useful tutorial on how to use Git for collaborative development.

1. Fork it.
2. Clone your forked repository to your machine
3. Create a branch (git checkout -b myRisa)
4. Make your changes
5. Run the tests (mvn clean test)
6. Commit your changes (git commit -am "Added something useful")
7. Push to the branch (git push origin myRisa)
8. Create a Pull Request from your branch.
9. Promote it. Get others to drop in and +1 it.