Omics-based Computational Biology and Medicine
Systems genetics, Systems epigenetics, Machine learning, Next-generation sequencing, Cancer genomics, Immunotherapy, Neurogenomics, Genome evolution, Epigenomics, etc.
What is systems genetics? (quoted from Science 331:1015)
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? (quoted from Omics Gateway)
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.