Bioinformatics research includes the development and application of novel statistical methodology for analyzing coChrimplex biological data typically at a molecular level (nucleic acid, proteins and metabolites), often referred to as –omics data. The methods development includes: data preprocessing for obtaining more accurate and precise measurements from new technologies; identifying biomarkers associated with various phenotypes of interest; identifying the interaction between genetic components; identifying the interaction between genetic and environmental factors in development, disease etiology and evolution; discovering biological networks and their dynamics in the biological systems ranging from single cell to large human populations.  Examples of bioinformatics research at the Center include novel methods for analyzing -omics data including genome, epigenome and transcriptome, as well as collaborative projects involving bioinformatics in cancer, evolution, aging and development.  

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