Triana: A Graphical Web Service Composition and Execution Toolkit
ICWS '04 Proceedings of the IEEE International Conference on Web Services
Managing structural genomic workflows using web services
Data & Knowledge Engineering - Special issue: Biological data management
Distributed computing with Triana on the Grid: Research Articles
Concurrency and Computation: Practice & Experience
Navigating the New Product Process from Strategic Viewpoint
ICCSA '08 Proceedings of the international conference on Computational Science and Its Applications, Part II
Enterprise Cluster Dynamics and Innovation Diffusion: A New Scientific Approach
AMT '09 Proceedings of the 5th International Conference on Active Media Technology
Accessing bio-databases with OGSA-DAI: a performance analysis
GCCB'06 Proceedings of the 2006 international conference on Distributed, high-performance and grid computing in computational biology
A practical robot coverage algorithm for unknown environments
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Development of an engineering knowledge extraction framework
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume PartI
Differential evolution for optimization of land use
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
A BIRCH-Based clustering method for large time series databases
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
Real-time evolutionary learning of cooperative predator-prey strategies
ACSC '12 Proceedings of the Thirty-fifth Australasian Computer Science Conference - Volume 122
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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.