The research interests of the Khurana lab fall under the broad categories of genomics, computational biology and systems biology. Only about 1 percent of our DNA makes proteins, yet it has been the focus of the majority of studies in the past. We participate in multiple international genomics consortia and collaborate with scientists at many institutes to develop novel approaches to understand the role of DNA sequence variants in non-protein-coding parts of the genome. We use our expertise in integration of data from assays that characterize the function of DNA with the DNA sequences to develop innovative computational models. These models are used to analyze the growing numbers of personal genomes enabled by the decreasing costs of genome sequencing. We have developed multiple computational approaches (for example, FunSeq, DeepMILO, CNCDriver and RegNetDriver) that integrate large-scale data from multiple resources to identify the DNA point mutations and rearrangements in protein-coding genes and non-coding regulatory regions leading to human disease, in particular cancer. We are especially interested in using the knowledge of the non-coding genome for cancer diagnostics and therapeutics.