A Grid-Enabled Problem Solving Environment for QTL Analysis in R

We present a grid-enabled problem solving environment (PSE), for multidimensional QTL analysis. The concept of a computational grid has not been fully realized within this and other application fields, mainly due to the need for significant rearchitecting of problem-specific code bases. Our environment allows transparent and efficient utilization of available heterogeneous computational resources. The PSE is built around the open source statistical software system R. The PSE can be used as a grid-enabled workflow system by the end-users, which is intended to be biologists with a pragmatic approach to high performance computing. Use of the Grid Job Management Framework (GJMF) he PSE an abstractive and reliable job management interface that supports multiple grid middleware implementations. The use of R enables a tight workflow between computationally demanding analysis and further visualization or processing steps taking place locally, or even interactively, on the user’s deskt...

• Type: Conference
• Year: 2010
• Where: BICOB
• Authors: Mahen Jayawardena, Carl Nettelblad, Salman Zubair Toor, Per-Olov Östberg, Erik Elmroth, Sverker Holmgren
• Keywords: BICOB 2010, Computational Biology, Computational Resources, Heterogeneous Computational Resources, Multidimensional Qtl Analysis