Two Methods for Improving Performance of a HMM and their Application for Gene Finding
Proceedings of the 5th International Conference on Intelligent Systems for Molecular Biology
Necessity is the mother of invention: a simple grid computing system using commodity tools
Journal of Parallel and Distributed Computing - Special issue on computational grids
A taxonomy of scientific workflow systems for grid computing
ACM SIGMOD Record
Journal of Parallel and Distributed Computing
Ontology-Enabled Pervasive Computing Applications
IEEE Intelligent Systems
Future Generation Computer Systems
Future Generation Computer Systems
International Workshop on Applications of Workflows in Computational Science (AWCS 08)
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
A mechanism for grid service composition behavior specification and verification
Future Generation Computer Systems
The data playground: An intuitive workflow specification environment
Future Generation Computer Systems
Environmental Modelling & Software
BLAST Application with Data-Aware Desktop Grid Middleware
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Approaching cardiac modeling challenges to computer science with CellML-based web tools
Future Generation Computer Systems
SWAMI: integrating biological databases and analysis tools within user friendly environment
DILS'07 Proceedings of the 4th international conference on Data integration in the life sciences
Helping biologists effectively build workflows, without programming
DILS'10 Proceedings of the 7th international conference on Data integration in the life sciences
BioTRON: a biological workflow management system
Proceedings of the 2011 ACM Symposium on Applied Computing
The deployment and evaluation of a bioinformatics grid platform - The HUST_Bio_Grid
Computers and Electrical Engineering
Proceedings of the 2013 ACM workshop on Domain-specific modeling
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Life science research is becoming evermore computationally intensive. Hence, from a computational resource perspective, Grid computing provides a logical approach to meeting many of the computational needs of life science research. However, there are several barriers to the widespread use of Grid computing in life sciences. In this paper, we attempt to address one particular barrier: the difficulty of using Grid computing by life scientists. Life science research often involves connecting multiple applications together to form a workflow. This process of constructing a workflow is complex. When combined with the difficulty of using Grid services, composing a meaningful workflow using Grid services can present a challenge to life scientists. Our proposed solution is a Semantic Web-enabled computing environment, called Bio-STEER. In Bio-STEER, bioinformatics Grid services are mapped to Semantic Web services, described in OWL-S. We also defined an ontology in OWL to model bioinformatics applications. A graphical user interface helps to construct a scientific workflow by showing a list of services that are semantically sound; that is, the output of one service is semantically compatible with the input of the connecting service. Bio-STEER can help users take full advantage of Grid services through a user-friendly graphical user interface (GUI), which allows them to easily construct the workflows they need.