Sub-theme A

For realization of personalized and preventive medicine for cancer, we need to elucidate characteristics, temporal-spatial diversity and origin of cancer by using large-scale sequencing data analyses obtained from whole genome sequence, RNA sequence, methylation sequence, single cell sequence, and DNA sequence sourced from blood plasma. In sub-theme A, we develop a computational strategy based on these types of sequences and prove that it will strongly augment personalized and preventive medicine.
With the intensive big data analyses, the K computer and the post-K computer(Supercomputer Fugaku) can drastically accelerate cancer research and make innovations for prevention, precision diagnosis, and optimal therapeutics for cancer.
To comprehensively understand systems disorders in cancer, we will carry out big data analysis and systems analysis of cancer with the K computer and the post- K computer(Supercomputer Fugaku) by developing key software applications together with already available software applications whose effectiveness has been already established.

(Japanese Only)

• Fiscal Year 2018
• Fiscal Year 2017
• Fiscal Year 2016
• Fiscal Year 2015
• Fiscal Year 2014