Analysis of Gene Expression Microarrays for Phenotype Classification
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology
An ontology-based framework for bioinformatics workflows
International Journal of Bioinformatics Research and Applications
Cooperative Interactions: An Exchange Values Model
Coordination, Organizations, Institutions, and Norms in Agent Systems II
Speaking a common language: a conceptual model for describing service-oriented systems
ICSOC'05 Proceedings of the Third international conference on Service-Oriented Computing
ZIB structure prediction pipeline: composing a complex biological workflow through web services
Euro-Par'06 Proceedings of the 12th international conference on Parallel Processing
A knuckles-and-nodes approach to the integration of microbiological resource data
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part I
SemanticBio: building conceptual scientific workflows over web services
DILS'05 Proceedings of the Second international conference on Data Integration in the Life Sciences
| Hi-index | 4.10 |
At present, compatibility problems prevent researchers from cooperating in using bioinformatics to solve important biological problems. Web services might be a way to solve this integration problem. Web technology provides a higher layer of abstraction that hides implementation details from applications so that each organization can concentrate on its own competence and still leverage the services other research groups provide.To test the potential of a Web services solution, the authors implemented a microarray data mining system that uses Web services in drug discovery--a research process that attempts to identify new avenues for developing therapeutic drugs. Although their implementation focuses on a problem within the life sciences, they strongly believe that Web services could be a boon to any research field that requires analyzing and mining large volumes of data.