Dear Leonardo, Sorry for my late answer, I was finalizing the different frameworks and tools of the biocep project and they are now robust enough for production. The different APIs are finalized but the documentation is incomplete. you can fin the last version of the README file here : http://www.ebi.ac.uk/microarray-srv/frontendapp/BIOCEP_README.txt it contains the answer to your question (and more). Publishing R Packages as Web Services is one use case among several others I dealt with. Here are the major ones : - Generate java mappings for R Objects (Standard/S4). - Generate java mappings for selected packages' functions (Generic/TypeInfoed). - Use R and the R packages as a Java Toolkit via a Rich, High level, Object-Oriented API. - Deploy and use R as a remote component. - Expose automatically R packages and the R API as JAX-WS stateless or statefull Web Services. - Use R within a resource pooling infrastructure for scalable, web oriented, data analysis applications. - Use the Remote Resources Pooling framework (RPF) to deploy and use distributed computational resources (non R based, native libraries with JNI support or java code) - Use R for parallel computing via a Java API or Web Services. - Create and use Remote R Instances from within R (snow' like fucntions : makeCluster, clusterEvalQ, clusterExport, clusterApply, stopCluster ..) - Use the R API from within an applet (book, use and release a Remote R Instance via HTTP Tunneling) - Use R to generate Graphics on the fly for thin web clients - Use R from within a Workbench that includes an advanced script editor, a Spreadsheet View fully connected to R data and functions, an R Object Inspector, composable and dockable Views, interactive R devices, clonable R Graphics.. - Use the Workbench from within a browser or via Java Web Start to access a pool of Remote R Instances - Use the Workbench to control on demand any Remote R Instance - Provide a packaging for R Based Desktop applications that enables Web based, one click installation (Embedded R for Windows, detected R for other operating systems) This work uses extensively a large number of existing open source projects as is or patched. The different resources of the project can be found here : http://www.ebi.ac.uk/microarray-srv/frontendapp/ The public SVN url/login/pasword for the biocep project are in the README file You may want to try the Virtual R Workbench on your local machine, use the following link : http://www.ebi.ac.uk/microarray-srv/frontendapp/rworkbench.jnlp or type 'javaws http://www.ebi.ac.uk/microarray-srv/frontendapp/rworkbench.jnlp' from the command line. This is a one click installation process for Windows and Mac OS X. (You need to preinstall R on Mac OS X while on widows an embedded R 2.6 can be deployed and used) The Java Web Start installer creates an RWorkbench directory in your home dir with all the files required. You may continue launching the application via the url (good for fetching updates automatically) or use the RWorkbench/VRWorkbench.txt to Run the application off line. rename it to VRWorkbench.bat on windows or type 'source VRWorkbench.txt' on Mac OS X Best wishes, Karim