Genomics is the study of the entire genome, usually starting with whole genome sequencing. In the recent years, genomics and proteomics have become powerful tools for revealing gene function and genomic organization in large scale. Functional genomics relies on using the sequence data to explore how DNA and proteins work with each other and the environment to create complex, dynamic living systems.
This direction includes transcriptomics (analysis of transcripts in the whole cell), comparative genomics, structural genomics and proteomics. The genomic technologies are generating an unprecedented amount of information that needs to be thoroughly analyzed to reveal its biological meaning. Thus, Bioinformatics has recently emerged as an interdisciplinary research area that can be viewed as an interface between biological and computer sciences.
In this post-genomic era, another new biological discipline was born and named “Systems Biology”. Founded on cross-disciplinary research platforms such as Functional Genomics, Epigenomics, Proteomics, Metabolomics, Mathematical and Computational models, Systems Biology is the quantitative measurement of the behavior of groups of interacting components, and provides mathematical tools to describe and predict dynamical behavior. In my current and future research, we seek and employ various systems levels approaches to understand key questions in diverse areas of biology using diverse model systems including Arabidopsis, mice and human.