Advances in medicine are increasingly being driven by “big data” analyses, including proteomics, genomics, and metabolomics. Basic knowledge of how to analyze these datasets can allow one to generate and test hypotheses that have the potential to transform a field. In this course, students will conduct individual data mining expeditions using a collection of large proteomics and metabolomics data sets. Formulate hypotheses about the interrelationships of molecules and their potential relationship to health, disease, and biological phenotypes. Basic background instruction on “omics” methodologies, heritability studies, and analytical methods will be provided. Provides the basic knowledge to carry out future ‘omics analyses; using scientific inquiry to potentially transform the practice of medicine.