The analysis of high-throughput genomics, proteomics, metabolomics and epigenomics data is the most critical step in systematically understanding pathophysiology of a disease as well as identifying potential biomarkers. The analysis of OMICS data often presents a challenge to translational and basic science researchers. The mission of Bioinformatics and Systems Biology core is to provide expertise and infrastructure in designing, analyses and simulation of high-throughput OMICS data to answer underlying biological questions. The core support analysis of data from many next-generation sequencing assays including transcriptional quantification (RNA-Seq), protein-nucleic acid interactions (ChIP-Seq), global methylation, genotyping or variant analysis through genome sequencing. To support cutting edge research, a special emphasis was made on implementing/developing systems biology frameworks and models for integrative analysis of genomic, epigenomics proteomic, metabolomic, imaging and clinical data to identifying key molecules driving pathophysiology. In addition to analyses support, core also provides resources for data management and high performance computing.