Bioinformatics can be considered as a bridge betweenlife science and computer science. Biology requires highand large computing power to performance biological applicationsand to access huge number of distributed and (often)heterogeneous databases. Computer scientists and database communitieshave expertises in high performance algorithms computationand in data management. Considering bioinformaticsrequirements, in this paper we present PROTEUS , a Grid-basedProblem Solving Environment for bioinformatics applications.PROTEUS uses ontology to enhance composition of bioinformaticsapplications. Architecture and preliminary experimental resultsare reported.

Proteus, a Grid based Problem Solving Environment for Bioinformatics: Architecture and Experiments

CANNATARO M;VELTRI P.
2004-01-01

Abstract

Bioinformatics can be considered as a bridge betweenlife science and computer science. Biology requires highand large computing power to performance biological applicationsand to access huge number of distributed and (often)heterogeneous databases. Computer scientists and database communitieshave expertises in high performance algorithms computationand in data management. Considering bioinformaticsrequirements, in this paper we present PROTEUS , a Grid-basedProblem Solving Environment for bioinformatics applications.PROTEUS uses ontology to enhance composition of bioinformaticsapplications. Architecture and preliminary experimental resultsare reported.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/362400
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