Recent advances in high-performance next generation sequencing technology and its wide application have led to the emergence of “bio big data” and have revolutionized the field of biology. In order to obtain meaningful biological information from the massive amount of data, analytical approaches based on computational and statistical methods were necessary which led to the development of computational biology as a new discipline. By applying the analytical techniques of computational biology, our lab investigates biological questions in a diverse array of interesting research areas. Mainly, our lab utilizes large-scale transcriptome and proteome data to better understand the gene regulatory network controlled by the microRNAs and the RNA-binding proteins. More recently, our lab has made efforts to detect driver mutations linked to cancer development using massive-scale cancer genomics data. Research area: Computational Biology and Bioinformatics - Large-scale sequence analysis - Bio big data: genome, transcriptome, and proteome Noncoding Genome - MicroRNA targeting and biogenesis- Other non-coding RNAs- RNA-binding proteins- Alternative mRNA splicing and alternative promoters Cancer Genomics- Whole exome and genome analysis- Development of cancer genome analysis software (Details in ‘Research’ board)