Bartosz Dobrzelecki

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The statistical language R and Bioconductor package are favoured by many biostatisticians for processing microarray data. The amount of data produced by these analyses has reached the limits of many common bioinformatics computing infrastructures. High Performance Computing (HPC) systems offer a solution to this issue. The Simple Parallel R INTerface(More)
Machine learning and statistical model based classifiers have increasingly been used with more complex and high dimensional biological data obtained from high-throughput technologies. Understanding the impact of various factors associated with large and complex microarray datasets on the predictive performance of classifiers is computationally intensive,(More)
R is a free statistical programming language commonly used for the analysis of high-throughput microarray and other data. It is currently unable to easily utilise multi-processor architectures without substantial changes to existing R scripts. Further, working with large volumes of data often leads to slow processing and even memory allocation faults. A(More)
OGSA-DAI (Open Grid Services Architecture-Data Access and Integration) provides an extensible software framework allowing data resources, such as files, relational and XML databases, to be exposed through Web services acting within collaborative Grid environments or, more modestly, in stand-alone mode. OGSA-DAI may be deployed to WSRF-based platforms, such(More)
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