Quantitative & Computational Biology
The Division of Biological Sciences is actively building our research strength in quantitative and computational biology. Research projects share a common interest in using advanced mathematical and computational approaches to study fundamental problems in biology. Areas of particular interest include ecological, neurological, and evolutionary modeling in plant and animal species. Research in this area benefits from the MU Informatics Institute and the University of Missouri Bioinformatics Consortium.
Faculty & Research Interests
The genetic and metabolic control of seed amino acids’ composition
Molecular basis for polar growth in Agrobacterium tumefaciens
Insect communication, behavioral ecology and evolution
The genetics and consequences of maize domestication and breeding
Genomic approaches to the study of life history evolution
Biophysics and neurophysiology of voltage gated ion channels; neuronal firing mechanisms; neurobiology of respiration
Application of computational bioinformatics and molecular genomics to plant genomes.
J. Chris Pires
Systematics, phylogenetics, and genome evolution of polyploidy plants
R. Keith Slotkin
Determining how transposable elements become epigenetically silenced
Spatial plant population and community ecology
Jul. 10, 2018
King celebrated for research excellence
Among the most prestigious academic honor society
In 2015, 16 seniors and 4 juniors from the Division of Biological Sciences were invited to join Phi Beta Kappa, the oldest and most prestigious academic honor society in the United States.