Storing Efficiently Bioinformatics Workflows

We propose an efficient storage strategy to record bioinformatics workflows. Our approach presents scientists with a flexible design model that distinguishes the scientific aim as a design protocol expressed against an ontology from the implementations (s), scientific workflows composed of bioinformatics services, and their execution. The storage strategy presented in this paper allows efficient access and constitutes the framework for reasoning on scientific protocols and experimental data.