TMAinspect, an EGEE Framework for Tissue MicroArray Image Handling (Contributo in atti di convegno)

Type
Label
  • TMAinspect, an EGEE Framework for Tissue MicroArray Image Handling (Contributo in atti di convegno) (literal)
Anno
  • 2008-01-01T00:00:00+01:00 (literal)
Alternative label
  • Galizia, Antonella; Viti, Federica; Orro, Alessandro; D'Agostino, Daniele; Merelli, Ivan; Milanesi, Luciano; Clematis, Andrea (2008)
    TMAinspect, an EGEE Framework for Tissue MicroArray Image Handling
    in CCGRID 2008, Lyon, France, 19-22 May 2008
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Galizia, Antonella; Viti, Federica; Orro, Alessandro; D'Agostino, Daniele; Merelli, Ivan; Milanesi, Luciano; Clematis, Andrea (literal)
Pagina inizio
  • 741 (literal)
Pagina fine
  • 746 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 6 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto Tecnologie Biomediche (ITB) CNR; IMATI CNR (literal)
Titolo
  • TMAinspect, an EGEE Framework for Tissue MicroArray Image Handling (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-1-4244-4237-9 (literal)
Abstract
  • The merging between molecular biology and computer science is becoming a key point in knowledge discovery, in particular when huge amount of data coming 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 this context, the Grid technology is a good opportunity to share data and solve intensive storage and computing problems. However, the exploitation of the Grid is not a 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. (literal)
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