This paper addresses the challenges of gathering, analyzing and employing clinically meaningful biological information, for the advancement of translational medicine. In this respect we propose an approach for the integrated management and analysis of large quantities of clinico-biological data, including high-throughput sequencing data. The proposed concepts are applied in the case of Chronic Lymphocytic Leukemia, a paradigmatic age-related hematologic cancer, and the steps for data integration and information analysis are illustrated via the CLL-BIND framework.