Systems and Computational Biology

Understanding many cellular processes demands an integrative approach, considering systems of interacting biomolecules, rather than focusing on individual genes or proteins. For example, cell-cycle checkpoints are bistable, in that the cell either divides or it doesn't, with no intermediate outcome possible. This bistability arises not from a particular gene, but rather through the nonlinear interactions of multiple genes in a network. Depending on the problem, dechiphering such complex nonlinear systems demands assays that measure many cellular components simultaneously or assays that track individual cells rather than populations. Understanding the resulting data is often greatly aided by computational approaches, either to processed the large data sets, or to develop computational models that reproduce particular cellular behaviors.

Associated Faculty

Associate Professor, Molecular and Cellular Biology, Associate Professor, Genetics - GIDP, Associate Professor, BIO5 Institute
Associate Department Head, Molecular and Cellular Biology, Associate Professor, Molecular and Cellular Biology, Associate Professor, Ecology and Evolutionary Biology, Associate Professor, BIO5 Institute, Associate Professor, Applied BioSciences - GIDP, Associate Professor, Applied Mathematics - GIDP, Associate Professor, Genetics - GIDP, Associate Professor, Statistics-GIDP, Associate Professor, Public Health
Assistant Professor, Molecular and Cellular Biology
Assistant Professor, Molecular and Cellular Biology, Director, Arizona Cancer Center Bioinformatics Shared Resource
Assistant Professor, Molecular and Cellular Biology
Assistant Professor, Molecular and Cellular Biology, Assistant Professor, BIO5 Institute
Assistant Professor, Molecular and Cellular Biology, Assistant Professor, Applied BioSciences - GIDP, Assistant Professor, Applied Mathematics - GIDP, Assistant Professor, Cancer Biology - GIDP, Assistant Professor, Genetics - GIDP