Our laboratory works in the areas of genome-scale biology and bioinformatics. We apply advanced computational and quantitative analysis to genome-scale data, especially next-generation sequencing data in pursuit of questions in cancer biology. Areas of particular interest are cancer classification, detection of signatures of mutagenic exposures in tumors, and the roles of alternative splicing in cancer.
In bioinformatics, we develop approaches for analyzing and interpreting high-dimensional, genome-scale data sets, such as those generated by next-generation sequencing and by gene-expression arrays. Technologies for generating genome-scale data are improving exponentially and are increasingly central in biological research. In bioinformatics, our goal is to develop robust tools that can use these genome-scale data to generate new insights into biological processes.