Bioinformatics and Computational Biology
Faculty use computational and experimental approaches to develop models to analyze large data sets, enabling the discovery of connections and generation of data-driven hypotheses. Bioinformatics and computational methods are used to inform the development of laboratory mouse models. Researchers are creating specialized image analysis and machine learning tools to make new discoveries from images ranging in scale from the whole body of a mouse to single molecules. Comparative genomics, systems genetic approaches to disease and environment, clinical outcomes modeling, network modeling, noncoding RNA analysis, and spatial and geographical genome mapping are included in this inter-disciplinary field.