Life sciences research have evolved from the simple combination of theoretical frameworks and experimental hypothesis validation to combined sciences of biology/medicine, analytical technologies, and informatics. Integrating these multiple threads of a research project at the technical and data level requires tight control and systematic workflows for data generation, data management, and data evaluation.
This talk discusses central life sciences data management issues based on B-Fabric, a system developed and running at the Functional Genomics Center Zurich (FGCZ). B-Fabric provides a core framework for integrating different analytical technologies and data analysis tools. In addition to data capturing and management, B-Fabric emphasizes the need for quality-controlled scientific annotation of analytical data, providing the ground for integrative querying and exploitation of systems biology data.
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