| Abstract |
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The merging between molecular biology and computer science is becoming a key point in knowledge discovery, in particular when huge amount of datacoming from different laboratories need to be integrated and analyzed. For example Tissue MicroArray (TMA) is a high throughput technology that allows researchers to analyze several tissue samples in a parallel way. TMA is a good validation method of researcher’s hypothesis about pathological tissue morphology and biomarkers evaluation. In thiscontext, the Grid technology is a good opportunity to share data and solve intensive storage and computing problems. However, the exploitation of the Grid is nota trivial pursuit for many users. Nowadays, an important issue is to provide a simplified use of Grid resources, enabling the use of tools that scientists usually employ. In this paper, we present TMA inspect,a Web based system for Tissue Microarray experiment analysis that provides to not expert users a graphical interface to search for TMA images and to efficiently process them in EGEE. For the image elaboration we use PIMA(GE)2 Lib, the Parallel IMAGE processing GEnoa Library.
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 Additional Information
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Index Terms- TMA, EGEE Grid, image elaboration, parallel coputing library
Citation:
Antonella Galizia, Federica Viti, Alessandro Orro, Daniele D’Agostino, Ivan Merelli, Luciano Milanesi, Andrea Clematis,
"TMAinspect, an EGEE Framework for Tissue MicroArray Image Handling,"
ccgrid,
pp. 741-746,
2008 Eighth IEEE International Symposium on Cluster Computing and the Grid (CCGRID),
2008
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