Wojtek Goscinski

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e-Science has much to benefit from the emerging field of grid computing. However, construction of e-science grids is a complex and inefficient undertaking. In particular, deployment of user applications can present a major challenge due to the scale and heterogeneity of the grid. In spite of this, deployment is not supported by current grid computing(More)
High performance application development remains challenging, particularly for scientists making the transition to a grid environment. In general areas of computing, virtual environments such as Java and .Net have proved successful in fostering application development. Unfortunately, these existing virtual environments do not provide the necessary high(More)
The construction of large scale e-Science grid experiments presents a challenge to e-Scientists because of the inherent difficulty of deploying applications over large scale heterogeneous grids. In spite of this, user-oriented application deployment has remained unsupported in grid middleware. This lack of support for application deployment is strongly(More)
The Multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) is a national imaging and visualization facility established by Monash University, the Australian Synchrotron, the Commonwealth Scientific Industrial Research Organization (CSIRO), and the Victorian Partnership for Advanced Computing (VPAC), with funding from the National(More)
Determining the X-ray crystallographic structures of proteins using the technique of molecular replacement (MR) can be a time and labor-intensive trial-and-error process, involving evaluating tens to hundreds of possible solutions to this complex 3D jigsaw puzzle. For challenging cases indicators of success often do not appear until the later stages of(More)
BACKGROUND The crystallographic determination of protein structures can be computationally demanding and for difficult cases can benefit from user-friendly interfaces to high-performance computing resources. Molecular replacement (MR) is a popular protein crystallographic technique that exploits the structural similarity between proteins that share some(More)
For a scientist in the modern era, reliability of results is no longer the key to a successful career in research. Increasingly, scientists must demonstrate the applicability (e.g. usefulness) of their work, as well as ensure the research is accessible (e.g. easy to find and easy to interpret). It is these three traits that define how others perceive a body(More)