DNA microarray is a highly-parallel methodology to screen genome samples for the expression of particular DNA sequences [1]. To gather information about gene expression is a much more difficult task than DNA sequence, because gene expression is a dynamic process dependent on many factors. The knowledge of the ORFs (Open Reading Framework) for a certain organism opens the possibility to globally study the expression of these genes under chosen circumstances. By using DNA-microarray methodology, the investigator gets a global picture of the genes expression under study. Since experimental data are disseminated in a myriad of different databases that are duplicated in several repositories, the experimental data integration and clustering imply the exploration of a sites network from which the investigator can integrate (select and cluster) data of interest. The authors propose to adopt an intelligent agent architecture as communication and coordination tool among distributed sites. In this paper an intelligent agent architecture will be applied to the case of the expression of yeast genome, where several microarray hybridization experimental datasets are available [9].

An intelligent agents architecture for DNA-microarray data integration

ANGELETTI, Mauro;CULMONE, Rosario;MERELLI, Emanuela
2001-01-01

Abstract

DNA microarray is a highly-parallel methodology to screen genome samples for the expression of particular DNA sequences [1]. To gather information about gene expression is a much more difficult task than DNA sequence, because gene expression is a dynamic process dependent on many factors. The knowledge of the ORFs (Open Reading Framework) for a certain organism opens the possibility to globally study the expression of these genes under chosen circumstances. By using DNA-microarray methodology, the investigator gets a global picture of the genes expression under study. Since experimental data are disseminated in a myriad of different databases that are duplicated in several repositories, the experimental data integration and clustering imply the exploration of a sites network from which the investigator can integrate (select and cluster) data of interest. The authors propose to adopt an intelligent agent architecture as communication and coordination tool among distributed sites. In this paper an intelligent agent architecture will be applied to the case of the expression of yeast genome, where several microarray hybridization experimental datasets are available [9].
2001
273
File in questo prodotto:
Non ci sono file associati a questo prodotto.

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/11581/1051
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact