Structural genomic workflows supported by Web services

In silico experiments encompass multiple combinations of program and data resources, which are complex to be managed. Typically, script languages are used due to their ease of use, despite their specifity and difficulty of reuse. In contrast, Web service technology was specially conceived to encapsulate and combine programs and data, providing interoperability, scalability and flexibility issues. We have combined metadata support with Web services within a framework that supports scientific workflows. We have experimented this framework with a real structural genomic workflow, showing its viability and evidencing its advantages.