My primary interests are focused on the analysis of large-scale -omics data from cutting-edge biotechnologies using computational and statistical methods. My research interests include i) sensitive identification of structure variation from next-generation sequencing data; ii) statistical inference and computation variants (isoforms, SNV, SV) identification of RNASeq data; iii) integrated study of genomic, epigenetic and proteomic data. A number of methods and tools have been developed or are in development for computational analysis of next-generation data using statistical inference. Also, we have applied those methods into cancer genetics studies that revealed many novel findings (see publication list). As a new lab, our group is cooperating with different groups to work on mew methodology and high-throughput data analysis.