The tutorial will introduce a new platform for statistical computing and data analysis built on top of R, the popular statistical environment.
Using one of the platform's tools, the extensible data analysis workbench,  Researchers can work with an R server running at any location as if it was local to their machine:
The complexity of High Performance Computing or cloud computing infrastructures is hidden from the end-user. Collaborative analysis of large data sets becomes accessible to a wider range of researchers as well as distributed computing.  Clusters of R workers running on academic grids or on Amazon's Elastic Cloud (EC2) can be used easily to solve large scale computational problems or to produce Graphics and analytical results with simple URLs.

The new platform widens the scope of the computational research resources that can be easily created and shared. Researchers can make their statistical analysis routines available as Web Services that can be integrated into workflow tools such as Taverna. Computational or statistical User Interfaces can be easily created with drag&drop tools, connected to models and distributed to users without R knowledge.

Outline

This tutorial will provide an overview of the platform called Biocep, The attendees will learn how to use the virtual workbench, how to create R Servers on Amazon's Elastic cloud (EC2) and connect to them, how to use them for collaborative data analysis, how to create programming-free statistical user interfaces and how to make them immediately accessible to world wide users, how to create R workers pools on EC2 and how to use them.

Tutor

Karim Chine : Author of the Biocep platform

References

http://www.biocep.net/