Genetic analysis is becoming increasingly complex and can be greatly enhanced by exploiting the power of high-performance computing (HPC), but the software may pose difficulty while being used, for the researchers. For allowing greater access to the benefits of HPC, EPCC and the Division of Pathway Medicine at the University of Edinburgh developed a prototype framework called SPRINT, which allows biostatisticians to more easily exploit HPC systems. The SPRINT project is being funded by the Wellcome Trust for a further two years. This will allow the development of the SPRINT framework and for a number of commonly used functions to be added to enable its use by a wide community.
SPRINT (Simple Parallel R INTerface) is an easy-to-use parallel version of R, a statistical language that processes the data gleaned from microarray analysis, a technique which allows the simultaneous measurement of thousands to millions of genes or sequences across tens to thousands of different samples. It requires small modification to the presently existing sequential R scripts. SPRINT is open-source and external contributions and collaborations are encouraged, 1st April 2009 marked the beginning of the two year project, to develop the framework and add a number of commonly used functions to SPRINT to enable its use by a wide community. This work is supported by the Wellcome Trust Technology Development grant.