The Department of Systems Biology is a dynamic and interdisciplinary research unit dedicated to advancing our understanding of complicated biological systems. We apply multidisciplinary technologies to integrate biological big data, such as genomics and epigenomics, transcriptomics, proteomics and interactomics, to study biological systems. We aim to construct integrated models to explain complex processes in life and apply those models to addressing challenges in human health.

The Department of Systems Biology seeks to establish an integrated research platform for bioinformatics and systems biology research. Our objective is to understand the genetic basis of sophisticated pathological and pathological processes, such as development, neurological disorders, cancer and infectious diseases. We study the underlying regulatory networks and their evolutionary mechanisms in humans and model animals. We develop new techniques to assess, dig out, analyse and manage various biological big data, including genomes, epigenomes, single-cell-omes spatial-omes, proteomes and metabolomes. In addition, by using deep learning and artificial intelligence technologies, we establish multi-dimensional models of regulatory networks to generate prediction systems for complex life processes, enabling comprehensive and accurate interpretation of biomedical big data. This will promote the development of various fields in life sciences and provide a theoretical basis for the practice of precision medicine.

In the next five to ten years, the Department of Systems Biology will establish a core scientific research team comprising 20-25 principal investigators. With further strengthening the research platforms, we are creating a collaborative environment to encourage the true innovation with international impact.