The achievement of an integrated understanding of biological function and interactions between multiple components of a biological system across hierarchical levels of analysis ranging from that of the gene to that of cell, tissue and organ is the next major frontier of biomedical science. Because of the inherent complexity of real biological systems, the development and analysis of computational models based directly on experimental data is necessary to achieve this understanding and translation to clinical practices. An overarching goal of the computational biology and bioinformatics area of research emphasis is to develop the insights and the technology needed to gather the information needed to quantify biological function and to develop detailed predictive biomedical models. These will be used to accurately describe normal physiological function, to understand mechanisms that underlie pathological processes, to discover new biomarkers and therapeutical targets for diseases, and to evaluate medical and surgical interventions. Transcript designation of computational biology and bioinformatics can include any of the following: 1) Training in the processing, analysis, mining, and integration of data from multiple sources such as genomic sequencing, epigenetics studies, gene and protein expression profiling, radiological studies, microscopy imagery, electrophysiological experiments, and numerical simulation studies, 2) Development of models to explain physiological and pathological processes, and 3) Development of database technology, data analysis techniques, high performance computing infrastructure, and systems software/middleware needed to carry out tasks associated with the aggregation and analysis of biomedical data, and needed to carry out biomedical simulations. This area of research emphasis will involve the integration of large-scale data analysis, management, processing, and visualization with biomedical informatics. We will engage trainees in a highly collaborative interdisciplinary research program on high throughput data analysis and integration for biomedical applications in high end computing environment. We will also provide access to a customized program of course work in biomedical informatics, computer science and in basic and translational biomedical sciences. Faculty members have diverse research interests which span analysis of gene sequence and gene and protein expression data, epigenetics, analysis and modeling of therapeutic and toxic drug effects, computational modeling of physiological systems, biomedical image processing and feature detection, visualization and development of database, data mining and data exploration algorithms and middleware.