Molecular profiling technologies in the life sciences have been evolving rapidly, and researchers are working on a wide range of projects applying these technologies for clinical use and novel finding which can be subsequently applied to treat diseases and improve our healthy condition. In particular, next-generation sequencing technologies (such as second generation and third generation sequencers) have enabled us to determine nucleotides comprehensively. Some of the molecules composing cells (and our body, ultimately) have been identified as linked to clinical or healthy status. We hope to increase such molecules (biomarkers) helping clinical treatment or ordinary life. Computational analysis is crucial to interpret data obtained from clinical samples. The computation itself has to be efficient to manage large amount of data, and operated under secure condition. The Preventive Medicine and Applied Genomics Unit (PAX) contributes to the development of computational methods dealing with both of clinical data which must be handled securely and genomic data massively produced. We will design, set up, operate a computational analysis platform, and contribute to actual project in the field of clinical genomics by fully utilising the platform. In collaboration with RIKEN Preventive Medicine and Diagnosis Innovation Program (PMI), and we are going to apply our platform to the projects in PMI. Additionally, we will develop a method for effective and efficient use of genomic resources that have already been gathered and published.