Our group has started a project aiming at thedevelopment of analysis algorithms devoted to imagesproduced by two-dimensional electrophoresis (2-DE)for general applications in the field of proteomics.General analysis problems have been addressed, withthe ultimate goal of the maximization of the“automation level” of the analysis procedure, withoutreducing the accuracy now reachable only withmanual intervention. For this, the group is analyzing2-DE images that are already stored or that will beproduced by means of the instrumentation and theknow-how of the biologists participating to the project.It’s obvious that the “key” for the project success isprimarily the availability of many images produced bydifferent groups, but especially their “comparability”,and their significant “clinical contextualization”. Forthese reasons, the group has started theimplementation of federation of heterogeneousbiobanks of images founded on openRegistry/Repository for P2P architecture (ebXML RR)[1], on images stored with standard metadata for theircomparability (EFMI MIP) [2], and on standardelectronic documents for their clinicalcontextualization (HL7 CDA) [3]. This papersummarizes the concepts of the initiative and describespossibility of handling data and analysing them underdifferent perspectives.

Network P2P for exploring and visualization of proteomic data: possibility of handling data and analysing them under different perspectives

I. De Mitri;
2008

Abstract

Our group has started a project aiming at thedevelopment of analysis algorithms devoted to imagesproduced by two-dimensional electrophoresis (2-DE)for general applications in the field of proteomics.General analysis problems have been addressed, withthe ultimate goal of the maximization of the“automation level” of the analysis procedure, withoutreducing the accuracy now reachable only withmanual intervention. For this, the group is analyzing2-DE images that are already stored or that will beproduced by means of the instrumentation and theknow-how of the biologists participating to the project.It’s obvious that the “key” for the project success isprimarily the availability of many images produced bydifferent groups, but especially their “comparability”,and their significant “clinical contextualization”. Forthese reasons, the group has started theimplementation of federation of heterogeneousbiobanks of images founded on openRegistry/Repository for P2P architecture (ebXML RR)[1], on images stored with standard metadata for theircomparability (EFMI MIP) [2], and on standardelectronic documents for their clinicalcontextualization (HL7 CDA) [3]. This papersummarizes the concepts of the initiative and describespossibility of handling data and analysing them underdifferent perspectives.
9780769531915
2DGE; image processing; tumor; Computer Assisted Diagnosis
File in questo prodotto:
File Dimensione Formato  
2008_Biotechno_Mercurio.pdf

non disponibili

Tipologia: Versione Editoriale (PDF)
Licenza: Non pubblico
Dimensione 854.75 kB
Formato Adobe PDF
854.75 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12571/3178
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact