Biomedical research is undergoing a major revolution as novel experimental approaches are yielding unprecedented amounts of data. Automation and robotics are becoming integral parts of experimental processes, impacting the way academic and industrial research is carried out. Experimental biology and medicine are becoming increasingly dependent on the extensive application of statistics information sciences. Bioinformatics, the interdisciplinary field at the intersection of life and quantitative sciences, provides the necessary tools and resources for this endeavor. Modern fundamental and applied research in the life sciences is critically dependent on this relatively new discipline. Faculty in the U-M Department of Biostatistics are playing a major role in the development of statistical methods in bioinformatics. In collaboration with medical and scientific researchers at U-M, as well as at other national and international institutions, faculty are developing procedures for the analysis of data such as single nucleotide polymorphism (SNP), gene and protein expression data, and modeling techniques for systems biology.
Faculty: V. Baladandayuthapani, L. Fritsche, H. Jiang, H.M. Kang, J. Kang, Y. Li, J. Morrison, M. Sartor, L. Scott, W. Wen, L. Zhao, X. Zhou
Links: UM Life Sciences Institute, Kidney Epidemiology & Cost Center