[en] In life sciences, scientists are confronted with an exponential growth of biological data, especially in the genomics and proteomics area. The efficient management and use of these data, and its transformation into knowledge are basic requirements for biological research. Therefore, integration of diverse applications and data from geographically distributed computing resources will become a major issue. We will present the status of our efforts for the realization of an automated protein prediction pipeline as an example for a complex biological workflow scenario in a Grid environment based on Web services. This case study demonstrates the ability of an easy orchestration of complex biological workflows based on Web services as building blocks and Triana as workflow engine.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
MAY, Patrick ; Zuse Institute Berlin - ZIB > Computer Science Research
Ehrlich, Hans-Christian
Steinke, Thomas
Langue du document :
Anglais
Titre :
ZIB Structure Prediction Pipeline: Composing a Complex Biological Workflow through Web Services
Date de publication/diffusion :
2006
Nom de la manifestation :
12th International Euro-Par Conference
Lieu de la manifestation :
Dresden, Allemagne
Date de la manifestation :
August 28 – September 1, 2006
Manifestation à portée :
International
Titre de l'ouvrage principal :
Euro-Par 2006 Parallel Processing
Editeur scientifique :
Nagel, Wolfgang E.
Walter, Wolfgang V.
Lehner, Wolfgang
Maison d'édition :
Springer
ISBN/EAN :
978-3-540-37783-2
Collection et n° de collection :
Lecture Notes in Computer Science; Volume 4128 2006
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