Managing structural genomic workflows using web services
Data & Knowledge Engineering - Special issue: Biological data management
Detecting distant homologies on protozoans metabolic pathways using scientific workflows
International Journal of Data Mining and Bioinformatics
Parallelism in bioinformatics workflows
VECPAR'04 Proceedings of the 6th international conference on High Performance Computing for Computational Science
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In silico experiments encompass multiple combinationsof program and data resources, which are complex to bemanaged. Typically, script languages are used due to theirease of use, despite their specificity and difficulty of reuse.In contrast, web service technology was speciallyconceived to encapsulate and combine programs anddata, providing interoperation between applications fromdifferent platforms. This approach is superior to scriptswith regard to interoperability, scalability and flexibilityissues. We have combined metadata support with webservices within a framework that supports scientificworkflows. We have experimented this framework with areal structural genomic workflow, showing its viabilityand evidencing its advantages.