The recent years have seen the emergence and major advancements in –omics sciences: genomics, transcriptomics, proteomics, metabolomics, etc. Comprehensive understanding of a biological process, a trait, or a disease, however, requires the integration of insights that we gain from each –omics data types.
DCMB faculty members develop bioinformatics tools to enable multi-omics data integration and seek meaningful interpretations. They develop tools and methods for analysis and integration of genomic, transcriptomic, metabolomic and epigenomic data (Sartor), and the integration of genomic and metabolomics data (Karnovsky, Li). They investigate diseases with systems biology approaches (Kretzler), and disease mechanisms from genetic predispositions to risks from environmental and occupational exposures (Omenn, Sartor), using pharmacogenetics, pharmacogenomics and risk analyses (Athey).