Research theme

Omics-based Computational Biology and Medicine

Research keywords

Systems genetics, Systems epigenetics, Machine learning, Next-generation sequencing, Cancer genomics, Immunotherapy, Neurogenomics, Genome evolution, Epigenomics, etc.

What is systems genetics? 

The defining principle of systems genetics is understanding how genetic information is integrated, coordinated, and ultimately transmitted through molecular, cellular, and physiological networks to enable the higher-order functions and emergent properties of biological systems.

Why omics? 

Biology has become a data-rich subject, with genome-scale studies occurring in all fields. Ever since the rise of genomics, the suffix ‘-omics’ has been added to the names of many fields to denote studies undertaken on a large or genome-wide scale. Omics is a general term for a broad discipline of science and engineering for analyzing the interactions of biological information objects in various ‘omes’. 

The main focus is on: 

1) mapping information objects such as genes, proteins, and ligands; 

2) finding interaction relationships among the objects; 

3) engineering the networks and objects to understand and manipulate the regulatory mechanisms; 

4) integrating various omes and omics subfields.